Global Data Management

Global Data Management
By:Roberto Baldoni
Published on 2006-01-01 by IOS Press

| An unforeseen growth of the volume and diversity of the data, content and knowledge is being generated all over the globe. Several factors lead to this growing complexity, among them: Size (the sheer increase in the numbers of knowledge producers and users, and in their production / use capabilities); Pervasiveness (in space and time of knowledge, knowledge producers and users); Dynamicity (new and old knowledge items will appear and disappear virtually at any moment); and Unpredictability (the future dynamics of knowledge are unknown not only at design time but also at run time). The situation is made worse by the fact that the complexity of knowledge grows exponentially with the number of interconnected components. The traditional approach of knowledge management and engineering is top-down and centralised, and depends on fixing at design time what can be expressed and how. Global Data Management is playing a crucial role in the development of our networked distributed society. Its importance has been recognised in the IST programme since several years, in particular in its long-term research part, Future and Emerging Technologies (FET). Many of the papers included in this book refer to IST and FET projects currently running or recently completed. |

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Book which was published by IOS Press since 2006-01-01 have ISBNs, ISBN 13 Code is 9781586036294 and ISBN 10 Code is 1586036297

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Organizational Applications of Business Intelligence Management: Emerging Trends

Organizational Applications of Business Intelligence Management: Emerging Trends
By:Herschel, Richard T.
Published on 2012-03-31 by IGI Global

|This book offers a deep look into the latest research, tools, implementations, frameworks, architectures, and case studies within the field of Business Intelligence Management|--Provided by publisher.

This Book was ranked at 2 by Google Books for keyword Data Warehousing.

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Learning PostgreSQL

Learning PostgreSQL
By:Salahaldin Juba,Achim Vannahme,Andrey Volkov
Published on 2015-11-30 by Packt Publishing Ltd

Create, develop and manage relational databases in real world applications using PostgreSQL About This Book Learn about the PostgreSQL development life cycle including its testing and refactoring Build productive database solutions and use them in Java applications A comprehensive guide to learn about SQL, PostgreSQL procedural language and PL/pgSQL Who This Book Is For If you are a student, database developer or an administrator, interested in developing and maintaining a PostgreSQL database, then this book is for you. No knowledge of database programming or administration is necessary. What You Will Learn Learn concepts of data modelling and relation algebra Install and set up PostgreSQL database server and client software Implement data structures in PostgreSQL Manipulate data in the database using SQL Implement data processing logic in the database with stored functions, triggers and views Test database solutions and assess the performance Integrate database with Java applications Detailed knowledge of the main PostgreSQL building objects, most used extensions Practice database development life cycle including analysis, modelling, (documentation), testing, bug fixes and refactoring In Detail PostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. Also it provides NoSQL capabilities, and very rich data types and extensions. All that makes PostgreSQL a very attractive solution in various kinds of software systems. The book starts with the introduction of relational databases with PostegreSQL. It then moves on to covering data definition language (DDL) with emphasis on PostgreSQL and common DDL commands supported by ANSI SQL. You will then learn the data manipulation language (DML), and advanced topics like locking and multi version concurrency control (MVCC). This will give you a very robust background to tune and troubleshoot your application. The book then covers the implementation of data models in the database such as creating tables, setting up integrity constraints, building indexes, defining views and other schema objects. Next, it will give you an overview about the NoSQL capabilities of PostgreSQL along with Hstore, XML, Json and arrays. Finally by the end of the book, you'll learn to use the JDBC driver and manipulate data objects in the Hibernate framework. Style and approach An easy-to-follow guide to learn programming build applications with PostgreSQL, and manage a PostgreSQL database instance.

This Book was ranked at 21 by Google Books for keyword Data Warehousing.

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Book which was published by Packt Publishing Ltd since 2015-11-30 have ISBNs, ISBN 13 Code is 9781783989195 and ISBN 10 Code is 178398919X

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Data Conversion to a Data Warehouse

Data Conversion to a Data Warehouse
By:Sanjay Gunasekaran
Published on 1999 by

This Book was ranked at 17 by Google Books for keyword Data Warehousing.

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Data mining, data warehousing & client/server databases

Data mining, data warehousing & client/server databases
By:Joseph Fong
Published on 1997-12-01 by Springer Verlag

Data Mining is used to discover patterns, clusters and models from data which are then rendered in operational forms that are easy for people to visualize and understand, and also to automate knowledge discovery in databases. Data Warehousing is a continual process which enables a corporation to assemble operational and other data from a variety of internal and external sources, and transform that data into consistent, high-quality, business information, distribute that information to the points of maximum value within the organizations, and provide easy, flexible and fast access for busy non-technical users. A client/server database system increases processing power by separating the database management system from the application; the client as the front-end system handling the user interface and the server as the back-end system accessing the database, which cooperate to run an application. The Program Committee have selected 21 papers to be presented in the Academic Program at the Workshop. The papers cover all three themes and address both theoretical issues and practical applications. A special track devoted to industrial applications has been included in the Workshop to reflect the strong interest from representatives of commerce and industry.

This Book was ranked at 36 by Google Books for keyword Data Warehousing.

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Building a Scalable Data Warehouse with Data Vault 2.0

Building a Scalable Data Warehouse with Data Vault 2.0
By:Dan Linstedt,Michael Olschimke
Published on 2015-09-15 by Morgan Kaufmann

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. |Building a Scalable Data Warehouse| covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0

This Book was ranked at 31 by Google Books for keyword Data Warehousing.

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Book which was published by Morgan Kaufmann since 2015-09-15 have ISBNs, ISBN 13 Code is 9780128026489 and ISBN 10 Code is 0128026480

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Data Warehousing

Data Warehousing
By:Sean Kelly
Published on 1996-07-10 by John Wiley & Sons Incorporated

Though companies have amassed an enormous amount of data, they haven't always been able to use it because it is unstructured, unintegrated or polluted. This book shows how to transform this vast pool of data into information of strategic significance. Taking up where database marketing leaves off, it offers practical ideas for businesses to realize staggering response rates from mailings, focuses marketing campaigns, and more.

This Book was ranked at 24 by Google Books for keyword Data Warehousing.

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Book which was published by John Wiley & Sons Incorporated since 1996-07-10 have ISBNs, ISBN 13 Code is 9780471963288 and ISBN 10 Code is 0471963283

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Data warehouse performance

Data warehouse performance
By:William H. Inmon
Published on 1998-11-13 by Wiley

Reduce operating and maintenance costs while substantially improving the performance of new and existing data warehouses and data marts Data Warehouse Performance This book tells you what you need to know to design, build, and manage data warehouses and data marts for optimum performance. Written by an all-star team of data warehouse pioneers and innovators-including Bill Inmon, |the father of the data warehouse,| and Ken Rudin, one of the leading experts on performance-the book describes the layers of a high-performance data warehouse environment and guides the reader through their implementation and management. It also supplies proven techniques for supercharging the performance of existing environments. Crucial topics covered include: * Mitigating the impact of dormant data on performance * Data cleansing and implementation techniques * Implementing platform components like data marts to support scalability * Database design, sizing, and optimization techniques, including star schema and indexing * Hardware assessment, selection, and sizing * The role of monitors in balancing workload and assessing performance * Creating a service management contract to meet user expectations

This Book was ranked at 17 by Google Books for keyword Data Warehousing.

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Interactive Data Warehousing

Interactive Data Warehousing
By:Harry Singh
Published on 1999 by Prentice Hall

A step-by-step guide to building Web-enabled data warehouses fast, this title helps readers choose the best platforms, technologies, and security techniques. Other topics include CORBA and COM distributed object solutions, data marts, data mining, and OLAP.

This Book was ranked at 19 by Google Books for keyword Data Warehousing.

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Data Integration Blueprint and Modeling

Data Integration Blueprint and Modeling
By:Anthony David Giordano
Published on 2010-12-27 by Pearson Education

Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects--and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever. This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right. Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary. Coverage includes Implementing repeatable, efficient, and well-documented processes for integrating data Lowering costs and improving quality by eliminating unnecessary or duplicative data integrations Managing the high levels of complexity associated with integrating business and technical data Using intuitive graphical design techniques for more effective process and data integration modeling Building end-to-end data integration applications that bring together many complex data sources

This Book was ranked at 11 by Google Books for keyword Data Warehousing.

Book ID of Data Integration Blueprint and Modeling's Books is e0jHgFLo_m8C, Book which was written byAnthony David Giordanohave ETAG "A/iYERqtaJY"

Book which was published by Pearson Education since 2010-12-27 have ISBNs, ISBN 13 Code is 9780137085286 and ISBN 10 Code is 0137085281

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Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches

Integrations of Data Warehousing, Data Mining and Database Technologies: Innovative Approaches
By:Taniar, David
Published on 2011-04-30 by IGI Global

|This book provides a comprehensive compilation of knowledge covering state-of-the-art developments and research, as well as current innovative activities in data warehousing and mining, focusing on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real world problems|--Provided by publisher.

This Book was ranked at 10 by Google Books for keyword Data Warehousing.

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Book which was published by IGI Global since 2011-04-30 have ISBNs, ISBN 13 Code is 9781609605384 and ISBN 10 Code is 1609605381

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Performance Dashboards

Performance Dashboards
By:Wayne W. Eckerson
Published on 2005-10-27 by John Wiley & Sons

Tips, techniques, and trends on how to use dashboard technology tooptimize business performance Business performance management is a hot new management disciplinethat delivers tremendous value when supported by informationtechnology. Through case studies and industry research, this bookshows how leading companies are using performance dashboards toexecute strategy, optimize business processes, and improveperformance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for TheData Warehousing Institute (TDWI), the leading association ofbusiness intelligence and data warehousing professionals worldwidethat provide high-quality, in-depth education, training, andresearch. He is a columnist for SearchCIO.com, DM Review,Application Development Trends, the Business Intelligence Journal,and TDWI Case Studies & Solution.

This Book was ranked at 17 by Google Books for keyword Data Warehousing.

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Book which was published by John Wiley & Sons since 2005-10-27 have ISBNs, ISBN 13 Code is 9780471757658 and ISBN 10 Code is 0471757659

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Next-Generation Big Data

Next-Generation Big Data
By:Butch Quinto
Published on 2018-06-12 by Apress

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You’ll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard Who This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

This Book was ranked at 2 by Google Books for keyword Data Warehousing.

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Book which was published by Apress since 2018-06-12 have ISBNs, ISBN 13 Code is 9781484231470 and ISBN 10 Code is 1484231473

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Open Source Data Warehousing and Business Intelligence

Open Source Data Warehousing and Business Intelligence
By:Lakshman Bulusu
Published on 2012-08-06 by CRC Press

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &

This Book was ranked at 14 by Google Books for keyword Data Warehousing.

Book ID of Open Source Data Warehousing and Business Intelligence's Books is 8UOqARb8ZV4C, Book which was written byLakshman Bulusuhave ETAG "kFP24DMQxvs"

Book which was published by CRC Press since 2012-08-06 have ISBNs, ISBN 13 Code is 9781466578760 and ISBN 10 Code is 1466578769

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Building the data warehouse

Building the data warehouse
By:William H. Inmon
Published on 1996 by John Wiley & Sons Inc

The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing |bible| provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.

This Book was ranked at 10 by Google Books for keyword Data Warehousing.

Book ID of Building the data warehouse's Books is 9eJQAAAAMAAJ, Book which was written byWilliam H. Inmonhave ETAG "B/z9MKQvdis"

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Frontiers in Data Science

Frontiers in Data Science
By:Matthias Dehmer,Frank Emmert-Streib
Published on 2017-10-16 by CRC Press

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.

This Book was ranked at 8 by Google Books for keyword Data Warehousing.

Book ID of Frontiers in Data Science's Books is xmpQDwAAQBAJ, Book which was written byMatthias Dehmer,Frank Emmert-Streibhave ETAG "E8Xc9JVoHlU"

Book which was published by CRC Press since 2017-10-16 have ISBNs, ISBN 13 Code is 9781498799331 and ISBN 10 Code is 1498799337

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Oracle Data Warehousing

Oracle Data Warehousing
By:
Published on 1997 by

This Book was ranked at 20 by Google Books for keyword Data Warehousing.

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Exam 70-463: Implementing a Data Warehouse with Microsoft® SQL Server® 2012: Training Kit

Exam 70-463: Implementing a Data Warehouse with Microsoft® SQL Server® 2012: Training Kit
By:Dejan Sarka, Matija Lah, and Grega Jerkic
Published on 2012-12-14 by Microsoft Press

Ace your preparation for Microsoft® Certification Exam 70-463 with this 2-in-1 Training Kit from Microsoft Press®. Work at your own pace through a series of lessons and practical exercises, and then assess your skills with online practice tests—featuring multiple, customizable testing options.

This Book was ranked at 4 by Google Books for keyword Data Warehousing.

Book ID of Exam 70-463: Implementing a Data Warehouse with Microsoft® SQL Server® 2012: Training Kit's Books is XGezBQAAQBAJ, Book which was written byDejan Sarka, Matija Lah, and Grega Jerkichave ETAG "oSDHvhlwkGU"

Book which was published by Microsoft Press since 2012-12-14 have ISBNs, ISBN 13 Code is 9780735668324 and ISBN 10 Code is 0735668329

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New Trends in Data Warehousing and Data Analysis

New Trends in Data Warehousing and Data Analysis
By:Stanisław Kozielski,Robert Wrembel
Published on 2008-11-21 by Springer Science & Business Media

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.

This Book was ranked at 37 by Google Books for keyword Data Warehousing.

Book ID of New Trends in Data Warehousing and Data Analysis's Books is -X6k_KdttLYC, Book which was written byStanisław Kozielski,Robert Wrembelhave ETAG "hoGL6dBcbmY"

Book which was published by Springer Science & Business Media since 2008-11-21 have ISBNs, ISBN 13 Code is 9780387874302 and ISBN 10 Code is 0387874305

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Mastering Data Warehouse Design

Mastering Data Warehouse Design
By:Claudia Imhoff,Nicholas Galemmo,Jonathan G. Geiger
Published on 2003-08-19 by John Wiley & Sons

A cutting-edge response to Ralph Kimball's challenge to thedata warehouse community that answers some tough questions aboutthe effectiveness of the relational approach to datawarehousing Written by one of the best-known exponents of the Bill Inmonapproach to data warehousing Addresses head-on the tough issues raised by Kimball andexplains how to choose the best modeling technique for solvingcommon data warehouse design problems Weighs the pros and cons of relational vs. dimensional modelingtechniques Focuses on tough modeling problems, including creating andmaintaining keys and modeling calendars, hierarchies, transactions,and data quality

This Book was ranked at 18 by Google Books for keyword Data Warehousing.

Book ID of Mastering Data Warehouse Design's Books is BEV1-eKxR5IC, Book which was written byClaudia Imhoff,Nicholas Galemmo,Jonathan G. Geigerhave ETAG "jpNZ8FmlSGU"

Book which was published by John Wiley & Sons since 2003-08-19 have ISBNs, ISBN 13 Code is 9780471480921 and ISBN 10 Code is 0471480924

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Bitemporal Data

Bitemporal Data
By:Tom Johnston
Published on 2014-08-19 by Newnes

Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL standard that supported it. Currently, among major DBMS vendors, Oracle, IBM and Teradata now provide at least some bitemporal functionality in their flagship products. But to use these products effectively, someone in your IT organization needs to know more than how to code bitemporal SQL statements. Perhaps, in your organization, that person is you. To correctly interpret business requests for temporal data, to correctly specify requirements to your IT development staff, and to correctly design bitemporal databases and applications, someone in your enterprise needs a deep understanding of both the theory and the practice of managing bitemporal data. Someone also needs to understand what the future may bring in the way of additional temporal functionality, so their enterprise can plan for it. Perhaps, in your organization, that person is you. This is the book that will show the do-it-yourself IT professional how to design and build bitemporal databases and how to write bitemporal transactions and queries, and will show those who will direct the use of vendor-provided bitemporal DBMSs exactly what is going on |under the covers| of that software. Explains the business value of bitemporal data in terms of the information that can be provided by bitemporal tables and not by any other form of temporal data, including history tables, version tables, snapshot tables, or slowly-changing dimensions. Provides an integrated account of the mathematics, logic, ontology and semantics of relational theory and relational databases, in terms of which current relational theory and practice can be seen as unnecessarily constrained to the management of nontemporal and incompletely temporal data. Explains how bitemporal tables can provide the time-variance and nonvolatility hitherto lacking in Inmon historical data warehouses. Explains how bitemporal dimensions can replace slowly-changing dimensions in Kimball star schemas, and why they should do so. Describes several extensions to the current theory and practice of bitemporal data, including the use of episodes, |whenever| temporal transactions and queries, and future transaction time. Points out a basic error in the ISO’s bitemporal SQL standard, and warns practitioners against the use of that faulty functionality. Recommends six extensions to the ISO standard which will increase the business value of bitemporal data. Points towards a tritemporal future for bitemporal data, in which an Aristotelian ontology and a speech-act semantics support the direct management of the statements inscribed in the rows of relational tables, and add the ability to track the provenance of database content to existing bitemporal databases. This book also provides the background needed to become a business ontologist, and explains why an IT data management person, deeply familiar with corporate databases, is best suited to play that role. Perhaps, in your organization, that person is you.

This Book was ranked at 39 by Google Books for keyword Data Warehousing.

Book ID of Bitemporal Data's Books is tF5zAwAAQBAJ, Book which was written byTom Johnstonhave ETAG "NvVA3zxqZxU"

Book which was published by Newnes since 2014-08-19 have ISBNs, ISBN 13 Code is 9780124080553 and ISBN 10 Code is 0124080553

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Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
By:Alfredo Cuzzocrea,Umeshwar Dayal
Published on 2011-08-19 by Springer Science & Business Media

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.

This Book was ranked at 24 by Google Books for keyword Data Warehousing.

Book ID of Data Warehousing and Knowledge Discovery's Books is Wc_lZkNjFCIC, Book which was written byAlfredo Cuzzocrea,Umeshwar Dayalhave ETAG "UzXYSK0moO0"

Book which was published by Springer Science & Business Media since 2011-08-19 have ISBNs, ISBN 13 Code is 9783642235436 and ISBN 10 Code is 3642235433

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Data Warehouse Automation

Data Warehouse Automation
By:Martin Gandalson
Published on 2018-07-24 by Pragmatic Guide

The definitive guide to actually building your data warehouse... Utilizing recent technology, small companies can finally build a data warehouse at a very affordable cost, and keep the design (and the data!) in-house. Large companies can now build and maintain their data warehouses better than ever before: faster, cheaper, more secure, and more agile. In fact, in this hands-on guide we will show the step-by-step development of an actual data warehouse prototype, using free-trial tools. This is a practical hands-on guide, and we will stick to the relevant topics that are important to someone who actually wants to build a DW as soon as possible. We won't be pontificating on academic positions, nor fluffing up the word count. We assume that you are more anxious to roll up your sleeves and get started than to debate theory with purists. Yet at the same time, we will detail the necessary planning that you must conduct in order to maximize the success of your data warehouse program. Along the way, we will identify and avoid the common pitfalls that can lead to failure. By following this step-by-step guide, you can create a data warehouse for your company or organization. You will not need a large budget. You will not need expensive outside consultants. You will not need to share your data outside your company. You will not need specialized skills beyond those of a typical database programmer or database administrator. Yes, you can build a data warehouse: on a small budget, completely in-house, using only your current database employee(s). Martin Gandalson will show you how, step by step. This toolkit can be used to build any data warehouse, data mart, or webhouse.

This Book was ranked at 25 by Google Books for keyword Data Warehousing.

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Book which was published by Pragmatic Guide since 2018-07-24 have ISBNs, ISBN 13 Code is 9781717829900 and ISBN 10 Code is 1717829902

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Map matching and real world integrated sensor data warehousing

Map matching and real world integrated sensor data warehousing
By:Evan Burton
Published on 2014 by

This Book was ranked at 21 by Google Books for keyword Data Warehousing.

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Book which was published by since 2014 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
By:Wang, John
Published on 2008-05-31 by IGI Global

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

This Book was ranked at 10 by Google Books for keyword Data Warehousing.

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Book which was published by IGI Global since 2008-05-31 have ISBNs, ISBN 13 Code is 9781599049526 and ISBN 10 Code is 159904952X

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Book which have "4092 Pages" is Printed at BOOK under CategoryTechnology and Engineering

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Healthcare Informatics

Healthcare Informatics
By:Stephan P. Kudyba
Published on 2010-04-26 by CRC Press

Healthcare Informatics: Improving Efficiency and Productivity examines the complexities involved in managing resources in our healthcare system and explains how management theory and informatics applications can increase efficiencies in various functional areas of healthcare services. Delving into data and project management and advanced analytics, this book details and provides supporting evidence for the strategic concepts that are critical to achieving successful healthcare information technology (HIT), information management, and electronic health record (EHR) applications. This includes the vital importance of involving nursing staff in rollouts, engaging physicians early in any process, and developing a more receptive organizational culture to digital information and systems adoption. We owe it to ourselves and future generations to do all we can to make our healthcare systems work smarter, be more effective, and reach more people. The power to know is at our fingertips; we need only embrace it. —From the foreword by James H. Goodnight, PhD, CEO, SAS Bridging the gap from theory to practice, it discusses actual informatics applications that have been incorporated by various healthcare organizations and the corresponding management strategies that led to their successful employment. Offering a wealth of detail, it details several working projects, including: A computer physician order entry (CPOE) system project at a North Carolina hospital E-commerce self-service patient check-in at a New Jersey hospital The informatics project that turned a healthcare system’s paper-based resources into digital assets Projects at one hospital that helped reduce excesses in length of stay, improved patient safety; and improved efficiency with an ADE alert system A healthcare system’s use of algorithms to identify patients at risk for hepatitis Offering the guidance that healthcare specialists need to make use of various informatics platforms, this book provides the motivation and the proven methods that can be adapted and applied to any number of staff, patient, or regulatory concerns.

This Book was ranked at 24 by Google Books for keyword Data Warehousing.

Book ID of Healthcare Informatics's Books is sp3MBQAAQBAJ, Book which was written byStephan P. Kudybahave ETAG "6TYNFKqdYmw"

Book which was published by CRC Press since 2010-04-26 have ISBNs, ISBN 13 Code is 9781439809792 and ISBN 10 Code is 1439809798

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E-Data

E-Data
By:Jill Dyche,Jill Dyché
Published on 2000 by Addison-Wesley Professional

Dyche presents the complete manager's briefing on what data warehousing technology can do today and how to achieve optimal results. Using real-world case studies from Charles Schwab, Bank of America, Qantas, 20th Century Fox, and others, she covers decision support, database marketing, and many industry-specific data warehouse applications.

This Book was ranked at 33 by Google Books for keyword Data Warehousing.

Book ID of E-Data's Books is FnbTB9dRJpUC, Book which was written byJill Dyche,Jill Dychéhave ETAG "QfuW9hAjypk"

Book which was published by Addison-Wesley Professional since 2000 have ISBNs, ISBN 13 Code is 9780201657807 and ISBN 10 Code is 0201657805

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Book which have "335 Pages" is Printed at BOOK under CategoryBusiness and Economics

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Data Mining and Warehousing

Data Mining and Warehousing
By:S. Prabhu
Published on 2007-01-01 by New Age International

Data Mining is the process of analyzing large amount of data in search of previously undiscovered business patterns. Data Warehousing is a relational/multidimensional database that is designed for Query and Analysis rather than Transaction Processing. This book provides a systematic introduction to the principles of Data Mining and Data Warehousing. It covers the entire range of data mining algorithms (prediction, classification, and association), data mining products and applications, stages.

This Book was ranked at 21 by Google Books for keyword Data Warehousing.

Book ID of Data Mining and Warehousing's Books is h5d7fvpxeGUC, Book which was written byS. Prabhuhave ETAG "7Cumb+I1en4"

Book which was published by New Age International since 2007-01-01 have ISBNs, ISBN 13 Code is 9788122419726 and ISBN 10 Code is 8122419720

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Book which have "144 Pages" is Printed at BOOK under CategoryData mining

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Data Warehousing For Dummies

Data Warehousing For Dummies
By:Thomas C. Hammergren
Published on 2009-04-13 by John Wiley & Sons

Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!

This Book was ranked at 14 by Google Books for keyword Data Warehousing.

Book ID of Data Warehousing For Dummies's Books is QHoslwihj9UC, Book which was written byThomas C. Hammergrenhave ETAG "hOg0/FVQnXo"

Book which was published by John Wiley & Sons since 2009-04-13 have ISBNs, ISBN 13 Code is 9780470482926 and ISBN 10 Code is 0470482923

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The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights

The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights
By:Robert Laberge
Published on 2011-05-12 by McGraw Hill Professional

Develop a custom, agile data warehousing and business intelligence architecture Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide. Understand the components of BI and data warehouse systems Establish project goals and implement an effective deployment plan Build accurate logical and physical enterprise data models Gain insight into your company's transactions with data mining Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques Use structured input files to define data requirements Employ top-down, bottom-up, and hybrid design methodologies Handle security and optimize performance using data governance tools Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.

This Book was ranked at 28 by Google Books for keyword Data Warehousing.

Book ID of The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights's Books is VVanQnmoilcC, Book which was written byRobert Labergehave ETAG "l2Aehu33weg"

Book which was published by McGraw Hill Professional since 2011-05-12 have ISBNs, ISBN 13 Code is 9780071745321 and ISBN 10 Code is 0071745327

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What Works

What Works
By:
Published on 1996 by

This Book was ranked at 12 by Google Books for keyword Data Warehousing.

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Book which was published by since 1996 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Data Warehousing in the Age of Big Data

Data Warehousing in the Age of Big Data
By:Krish Krishnan
Published on 2013-05-02 by Newnes

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Learn how to leverage Big Data by effectively integrating it into your data warehouse. Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

This Book was ranked at 5 by Google Books for keyword Data Warehousing.

Book ID of Data Warehousing in the Age of Big Data's Books is 8ngws8f_lNsC, Book which was written byKrish Krishnanhave ETAG "wLLASPx9eT8"

Book which was published by Newnes since 2013-05-02 have ISBNs, ISBN 13 Code is 9780124059207 and ISBN 10 Code is 0124059201

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Agile Analytics

Agile Analytics
By:Ken Collier
Published on 2012 by Addison-Wesley

Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile pioneer Ken Collier shows how to do just that. Collier introduces platform-agnostic Agile solutions for integrating infrastructures consisting of diverse operational, legacy, and specialty systems that mix commercial and custom code. Using working examples, he shows how to manage analytics development teams with widely diverse skill sets and how to support enormous and fast-growing data volumes. Collier's techniques offer optimal value whether your projects involve |back-end| data management, |front-end| business analysis, or both. Part I focuses on Agile project management techniques and delivery team coordination, introducing core practices that shape the way your Agile DW/BI project community can collaborate toward success Part II presents technical methods for enabling continuous delivery of business value at production-quality levels, including evolving superior designs; test-driven DW development; version control; and project automation Collier brings together proven solutions you can apply right now--whether you're an IT decision-maker, data warehouse professional, database administrator, business intelligence specialist, or database developer. With his help, you can mitigate project risk, improve business alignment, achieve better results--and have fun along the way.

This Book was ranked at 18 by Google Books for keyword Data Warehousing.

Book ID of Agile Analytics's Books is YMR3HynGQjUC, Book which was written byKen Collierhave ETAG "7J46DFxpzR4"

Book which was published by Addison-Wesley since 2012 have ISBNs, ISBN 13 Code is 9780321504814 and ISBN 10 Code is 032150481X

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Oracle Data Warehouse Tuning for 10g

Oracle Data Warehouse Tuning for 10g
By:Gavin JT Powell
Published on 2011-04-08 by Elsevier

“This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience. - Tim Donar, Author and Systems Architect for Enterprise Data Warehouses Tuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame. A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model. * Takes users beyond basics to critical issues in running most efficient data warehouse applications * Illustrates how to keep data going in and out in the most productive way possible * Focus is placed on Data Warehouse performance tuning

This Book was ranked at 35 by Google Books for keyword Data Warehousing.

Book ID of Oracle Data Warehouse Tuning for 10g's Books is w7_sEal658UC, Book which was written byGavin JT Powellhave ETAG "YEAUI7C2F/w"

Book which was published by Elsevier since 2011-04-08 have ISBNs, ISBN 13 Code is 9780080459172 and ISBN 10 Code is 008045917X

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Enabling Real-Time Business Intelligence

Enabling Real-Time Business Intelligence
By:Malu Castellanos,Umeshwar Dayal,Renée J. Miller
Published on 2010-07-23 by Springer

In today’s competitive and highly dynamic environment, organizations need new so- tions to enable them to solve modern business problems and to make decisions using integrated, trustworthy, and up-to-date data. Modern real-time enterprises need to act on events as they happen. They need new, easy-to-use intelligent solutions capable of analyzing heterogeneous real-time enterprise data to provide insight and actionable information at the right time. To enable real-time enterprises, we need fundamental advancements in the science and engineering that underlie intelligent information management including: the management of streaming data; the modeling, analysis and management of unstructured data; along with the integrated use of unstructured, se- structured, and structure data. We need new models and paradigms that raise the level of abstraction used in such critical technologies as ETL, data warehousing, and event and business process modeling. The series of BIRTE workshops aims to provide a forum to discuss and advance the foundational science and engineering required to enable real-time business intel- gence and the novel applications and solutions that build on these foundational te- niques. Following the success of our first workshop, BIRTE 2006, held in Seoul, Korea, in conjunction with VLDB 2006, and our second workshop, BIRTE 2008, held in Auckland, New Zealand, with VLDB 2008, our third workshop was held in Lyon, France on August 24, 2009 with VLDB 2009.

This Book was ranked at 7 by Google Books for keyword Data Warehousing.

Book ID of Enabling Real-Time Business Intelligence's Books is a-htCQAAQBAJ, Book which was written byMalu Castellanos,Umeshwar Dayal,Renée J. Millerhave ETAG "ufZPnuZp9Ow"

Book which was published by Springer since 2010-07-23 have ISBNs, ISBN 13 Code is 9783642145599 and ISBN 10 Code is 3642145590

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Healthcare Information Systems, Second Edition

Healthcare Information Systems, Second Edition
By:Kevin Beaver
Published on 2002-12-23 by CRC Press

The move to manage medicine from a financial perspective, i.e. managed care, has added huge layers of bureaucratic and administrative functions to healthcare. The need to have the ability to track patient medical records, mandated by government legislation such as HIPAA, is bringing new technologies and processes into the healthcare arena. A universal medical record system and absolute patient portability is a definite possibility in the not too distant future. All of these issues beg for clear IT solutions. Healthcare Information Systems, Second Edition approaches these challenges and opportunitites as pieces of a complex puzzle. It not only brings you up-to-date on the technology involved, but also explains how that technology interrelates and affects healthcare organizations. The book gives you complete coverage of all aspects of information technology as it relates to the healthcare industry. In Healthcare Information Systems you will find: An overview of healthcare systems Tips on disaster planning and system security Improving quality, reducing risks, and understanding costs An in-depth look into the HIPAA regulations EMR and the data warehouse Information on managing the healthcare community A look at the changing organization Views on telemedicine, the Internet, and emerging technologies Ideas on using IT to deal with increasing government regulation In addition, the new edition has expanded coverage of HIPAA, wireless networks and communications, telemedicine, and the increasing role of the Internet in all facets of healthcare. Healthcare Information Systems presents workable solutions to the real problems you will face both today and tomorrow.

This Book was ranked at 16 by Google Books for keyword Data Warehousing.

Book ID of Healthcare Information Systems, Second Edition's Books is bb0KrZ0VkxEC, Book which was written byKevin Beaverhave ETAG "jJWSwM/vYXI"

Book which was published by CRC Press since 2002-12-23 have ISBNs, ISBN 13 Code is 9781420031409 and ISBN 10 Code is 1420031406

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Book which have "520 Pages" is Printed at BOOK under CategoryMedical

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Facilities planning

Facilities planning
By:James A. Tompkins
Published on 2003 by Wiley

New production techniques, new material handling equipment, larger investments, higher expectations-when it comes to facilities planning there is no room for |business as usual.| Today every company must insist on the highest return on their investment, not just to prosper, but to survive. Updated with the latest advances, FACILITIES PLANNING, THIRD EDITION introduces current practices, and shows how to approach facilities planning with creativity and precision. The text guides you through each step in the planning process, from defining requirements to developing alternative material handling techniques and manufacturing/waterhouse operations to selecting and evaluating facilities plans. You2ll learn how to apply quantitative tools and the engineering design principles to achieve highly effective, efficient, and successful plans. Highlights of the Third Edition: Expanded coverage of cost justification safety, cellular management, and computer-based training brings new trends to light. Detailed, real-world examples and problems provide insights into current facilities planning practices. New Photos introduce you to the latest material handling equipment. More quantitative problems and a greater variety of helpful questions help you apply the material to your work. Information on software applications, such as VisFactory, introduces you to the new technologies that are affecting facilities planning.

This Book was ranked at 31 by Google Books for keyword Data Warehousing.

Book ID of Facilities planning's Books is RNEmAQAAMAAJ, Book which was written byJames A. Tompkinshave ETAG "jee9ASgf/0E"

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Microsoft Data Warehousing

Microsoft Data Warehousing
By:Robert S. Craig,Joseph A. Vivona,David Berkovitch
Published on 1999-04-05 by Wiley

Microsoft(r) Data Warehousing, Building Distributed Decision Support Systems, Robert S. Craig Joseph A. Vivona, David Bercovitch. Foreword by Judith Hurwitz, Robert S. Craig, Joseph A. Vivona, David Bercovitch. Foreword by Judith Hurwitz, SQL Server 7.0's exciting new features and components make it the data warehousing tool par excellence. In Microsoft Data Warehousing, experts Robert Craig, Joseph Vivona, and David Bercovitch show database administrators and developers how to use Microsoft's new generation of powerful DSS technologies to create dynamic, highly scalable data marts and warehouses tailored to their companies' current and future decision support requirements. In the first part of the book, the authors provide a detailed description of the data warehouse process based on the five environments that make up an integrated DSS. In Part II, they acquaint you with SQL Server 7.0 components and related Microsoft tools and then show you, step-by-step, how to best utilize them to design, develop, implement, and manage a multi-tier distributed decision-support application within each environment. You get detailed hands-on guidance for: * Data extraction processes and tools. * How to define the most appropriate decision support architecture. * Different DSS tools for the Desktop including EIS, Data Mining, Extended Reporting, and Managed Query. * Configuring SQL Server 7.0 for implementation, table definition, indexing strategies, query processing, and managing and enhancing performance. * The role of Microsoft Repository in design, development, and management and its support of UML. * How to achieve integration across the environments with OLE DB for OLAP and its key APIs. * Client access using Excel, Visual Basic, Java, English Query, and other query and analysis tools with SQL Server 7.0. * How to leverage the data in the data warehouse once it's built with various analysis scenarios such as customer relationship management, market basket, and market share.

This Book was ranked at 9 by Google Books for keyword Data Warehousing.

Book ID of Microsoft Data Warehousing's Books is ngtpQgAACAAJ, Book which was written byRobert S. Craig,Joseph A. Vivona,David Berkovitchhave ETAG "bkP54myw6JY"

Book which was published by Wiley since 1999-04-05 have ISBNs, ISBN 13 Code is 9780471327615 and ISBN 10 Code is 0471327611

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Pro SQL Server 2012 BI Solutions

Pro SQL Server 2012 BI Solutions
By:Randal Root,Caryn Mason
Published on 2012-10-23 by Apress

Business intelligence projects do not need to cost multi-millions of dollars or take months or even years to complete! Using rapid application development (RAD) techniques along with Microsoft SQL Server 2012, this book guides database administrators, SQL programmers, and report specialists in creating practical, cost-effective business intelligence solutions for their companies and departments. Pro SQL Server 2012 BI Solutions provides practical examples of cost-effective business intelligence projects. Readers will be guided through several complete projects that build a foundation for real-world solutions. Even with limited experience using Microsoft's SQL Server, Integration Server, Analysis Server, and Reporting Server, you can leverage your existing knowledge of SQL programming and database design to provide users with the business intelligence reports they need. Provides recipes for multiple business intelligence scenarios Progresses from simple to advanced projects using several examples Shows Microsoft SQL Server technology used to complete real-world business intelligence projects

This Book was ranked at 15 by Google Books for keyword Data Warehousing.

Book ID of Pro SQL Server 2012 BI Solutions's Books is Qe4Kc8fggqMC, Book which was written byRandal Root,Caryn Masonhave ETAG "Mrgrl2/xkAY"

Book which was published by Apress since 2012-10-23 have ISBNs, ISBN 13 Code is 9781430234890 and ISBN 10 Code is 143023489X

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Web Data Mining and the Development of Knowledge-Based Decision Support Systems

Web Data Mining and the Development of Knowledge-Based Decision Support Systems
By:Sreedhar, G.
Published on 2016-12-21 by IGI Global

Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.

This Book was ranked at 39 by Google Books for keyword Data Warehousing.

Book ID of Web Data Mining and the Development of Knowledge-Based Decision Support Systems's Books is feTMDQAAQBAJ, Book which was written bySreedhar, G.have ETAG "WXSJ2yB++R4"

Book which was published by IGI Global since 2016-12-21 have ISBNs, ISBN 13 Code is 9781522518785 and ISBN 10 Code is 1522518789

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Data Mining and Data Warehousing

Data Mining and Data Warehousing
By:Bharat Bhushan Agarwal,Sumit Prakash Tayal
Published on 2009-05-01 by Laxmi Publications, Ltd.

This Book was ranked at 2 by Google Books for keyword Data Warehousing.

Book ID of Data Mining and Data Warehousing's Books is 4pEzUyPrYQUC, Book which was written byBharat Bhushan Agarwal,Sumit Prakash Tayalhave ETAG "Llq+ZI7fG/M"

Book which was published by Laxmi Publications, Ltd. since 2009-05-01 have ISBNs, ISBN 13 Code is 9788131806586 and ISBN 10 Code is 8131806588

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Book which have "355 Pages" is Printed at BOOK under CategoryData mining

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The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement
By:David Loshin
Published on 2010-11-22 by Elsevier

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

This Book was ranked at 9 by Google Books for keyword Data Warehousing.

Book ID of The Practitioner's Guide to Data Quality Improvement's Books is B3zd4GCAWeYC, Book which was written byDavid Loshinhave ETAG "aOiVs+WlsHc"

Book which was published by Elsevier since 2010-11-22 have ISBNs, ISBN 13 Code is 9780080920344 and ISBN 10 Code is 0080920349

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Book which have "432 Pages" is Printed at BOOK under CategoryComputers

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Server Architectures

Server Architectures
By:René J. Chevance
Published on 2004-12-31 by Elsevier

The goal of this book is to present and compare various options one for systems architecture from two separate points of view. One, that of the information technology decision-maker who must choose a solution matching company business requirements, and secondly that of the systems architect who finds himself between the rock of changes in hardware and software technologies and the hard place of changing business needs. Different aspects of server architecture are presented, from databases designed for parallel architectures to high-availability systems, and touching en route on often- neglected performance aspects. The book provides IT managers, decision makers and project leaders who want to acquire knowledge sufficient to understand the choices made in and capabilities of systems offered by various vendors Provides system design information to balance the characteristic applications against the capabilities and nature of various architectural choices In addition, it offers an integrated view of the concepts in server architecture, accompanied by discussion of effects on the evolution of the data processing industry

This Book was ranked at 37 by Google Books for keyword Data Warehousing.

Book ID of Server Architectures's Books is P28xT7QHZ2AC, Book which was written byRené J. Chevancehave ETAG "nGqOj0EWG1k"

Book which was published by Elsevier since 2004-12-31 have ISBNs, ISBN 13 Code is 9780080492292 and ISBN 10 Code is 0080492290

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Book which have "784 Pages" is Printed at BOOK under CategoryComputers

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Customer Data Integration

Customer Data Integration
By:Jill Dyché,Evan Levy
Published on 2011-01-31 by John Wiley & Sons

|Customers are the heart of any business. But we can't succeed if we develop only one talk addressed to the 'average customer.' Instead we must know each customer and build our individual engagements with that knowledge. If Customer Relationship Management (CRM) is going to work, it calls for skills in Customer Data Integration (CDI). This is the best book that I have seen on the subject. Jill Dyché is to be complimented for her thoroughness in interviewing executives and presenting CDI.| -Philip Kotler, S. C. Johnson Distinguished Professor of International Marketing Kellogg School of Management, Northwestern University |In this world of killer competition, hanging on to existing customers is critical to survival. Jill Dyché's new book makes that job a lot easier than it has been.| -Jack Trout, author, Differentiate or Die |Jill and Evan have not only written the definitive work on Customer Data Integration, they've made the business case for it. This book offers sound advice to business people in search of innovative ways to bring data together about customers-their most important asset-while at the same time giving IT some practical tips for implementing CDI and MDM the right way.| -Wayne Eckerson, The Data Warehousing Institute author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business Whatever business you're in, you're ultimately in the customer business. No matter what your product, customers pay the bills. But the strategic importance of customer relationships hasn't brought companies much closer to a single, authoritative view of their customers. Written from both business and technicalperspectives, Customer Data Integration shows companies how to deliver an accurate, holistic, and long-term understanding of their customers through CDI.

This Book was ranked at 26 by Google Books for keyword Data Warehousing.

Book ID of Customer Data Integration's Books is lCR44R1xZY0C, Book which was written byJill Dyché,Evan Levyhave ETAG "G+66Z4O2NE4"

Book which was published by John Wiley & Sons since 2011-01-31 have ISBNs, ISBN 13 Code is 9781118046470 and ISBN 10 Code is 1118046471

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Book which have "320 Pages" is Printed at BOOK under CategoryBusiness and Economics

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