Data Mining for the Masses, Second Edition

Data Mining for the Masses, Second Edition
By:Matthew North
Published on 2016-01-08 by

We live in a world that generates tremendous amounts of data-more than ever before. In business, and in our personal lives, we use smartphones and tablets, web sites and watches; with dozens of apps and interfaces to shop, learn, entertain and inform. Businesses increasingly use technology to interact with consumers to provide marketing, customer service, product information and more. All of this technological activity generates data-data that can be useful in many ways. Data mining can help to identify interesting patterns and messages that exist, often hidden beneath the surface. In this modern age of information systems, it is easier than ever before to extract meaning from data. From classification to prediction, data mining can help. In Data Mining for the Masses, Second Edition, professor Matt North-a former risk analyst and software engineer at eBay-uses simple examples and clear explanations with free, powerful software tools to teach you the basics of data mining. In this Second Edition, implementations of these examples are offered in both an updated version of the RapidMiner software, and in the popular R Statistical Package. You've got more data than ever before and you know it's got value, if only you can figure out how to get to it. This book can show you how. Let's start digging! Author's Note: The first edition of this text continues to be available for download, free of charge as a PDF file, from the GlobalText online library.

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Book which was published by since 2016-01-08 have ISBNs, ISBN 13 Code is 9781523321438 and ISBN 10 Code is 1523321431

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MicroStrategy Advanced Data Warehousing

MicroStrategy Advanced Data Warehousing
By:
Published on by MicroStrategy

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

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Book which was published by MicroStrategy since have ISBNs, ISBN 13 Code is 9781937418144 and ISBN 10 Code is 1937418146

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Corporate Information Factory

Corporate Information Factory
By:W. H. Inmon,Claudia Imhoff,Ryan Sousa
Published on 2002-03-14 by John Wiley & Sons

The |father of data warehousing| incorporates the latesttechnologies into his blueprint for integrated decision supportsystems Today's corporate IT and data warehouse managers are required tomake a small army of technologies work together to ensure fast andaccurate information for business managers. Bill Inmon created theCorporate Information Factory to solve the needs ofthese managers. Since the First Edition, the design of the factoryhas grown and changed dramatically. This Second Edition, revisedand expanded by 40% with five new chapters, incorporates thesechanges. This step-by-step guide will enable readers to connecttheir legacy systems with the data warehouse and deal with a hostof new and changing technologies, including Web access mechanisms,e-commerce systems, ERP (Enterprise Resource Planning) systems. Thebook also looks closely at exploration and data mining servers foranalyzing customer behavior and departmental data marts forfinance, sales, and marketing.

This Book was ranked at 40 by Google Books for keyword Data Warehousing.

Book ID of Corporate Information Factory's Books is 5LL7h7ZTTpQC, Book which was written byW. H. Inmon,Claudia Imhoff,Ryan Sousahave ETAG "/Dr8avc6vuA"

Book which was published by John Wiley & Sons since 2002-03-14 have ISBNs, ISBN 13 Code is 9780471437505 and ISBN 10 Code is 0471437506

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Data warehouse design solutions

Data warehouse design solutions
By:Christopher Adamson,Michael Venerable
Published on 1998 by John Wiley & Sons Inc

|Each chapter is... a practice run for the way we all ought to design our data marts and hence our data warehouses.|-Ralph Kimball, from the Foreword. Let the experts show you how to customize data warehouse designs for real business needs in Data Warehouse Design Solutions. To effectively design a data warehouse, you have to understand its many business uses. This guidebook shows you how business managers in different corporate functions actually use data warehouses to make decisions. You'll get a rich set of data warehouse designs that flow from realistic business cases. Two top experts show you how to customize your data warehouse designs for real-life business needs including: * Sales and marketing * Production and inventory management * Budgeting and financial reporting * Quality control * Product delivery and fulfillment * Strategic business analysis such as determining market share, rates of return on investment, and other key analytic ratios. CD-ROM includes All sample data warehouse designs with accompanying preformatted reports in HTML for specific business uses such as marketing, sales, and financial analysis.

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

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Data Warehouse

Data Warehouse
By:Barry Devlin
Published on 1997 by Addison-Wesley Professional

Data warehousing is one of the hottest topics in the computing industry. Written by Barry Devlin, one of the world's leading experts on data warehousing, this book gives you the insights and experiences gained over 10 years and offers the most comprehensive, practical guide to designing, building, and implementing a successful data warehouse. Included in this vital information is an explanation of the optimal three-tiered architecture for the data warehouse, with a clear division between data and information. Information systems managers will appreciate the full description of the functions needed to implement such an architecture, including reconciling existing, diverse data and deriving consistent, valuable business information.

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

Book ID of Data Warehouse's Books is hdRQAAAAMAAJ, Book which was written byBarry Devlinhave ETAG "Xko+4hY5OAM"

Book which was published by Addison-Wesley Professional since 1997 have ISBNs, ISBN 13 Code is 9780201964257 and ISBN 10 Code is 0201964252

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Data Warehousing Products

Data Warehousing Products
By:Source Wikipedia
Published on 2013-09 by University-Press.org

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 37. Chapters: Ab Initio (company), Apatar, Aster Data Systems, BTEQ, Calpont, CodeFutures, Common Warehouse Metamodel, Comparison of OLAP Servers, DATAllegro, Dataupia, FastExport, Graz Sweden AB, Greenplum, HMORN Virtual Data Warehouse, Holistic Data Management, HPCC, IBM InfoSphere DataStage, Informatica, InterMine, Kalido, Microsoft Analysis Services, Netezza, Oracle Exadata, Oracle Warehouse Builder, ParAccel, SAND CDBMS, Scriptella, Sybase IQ, Talend, Talendforge, Teradata, Teradata FastLoad, Teradata Parallel Transporter, TPump. Excerpt: Teradata Corporation is an American computer company that sells database software for data warehouses and analytic applications, including Big Data. Its products are meant to consolidate data from different sources and make the data available for analysis. Formerly a division of NCR Corporation, Teradata was incorporated in 1979 and separated from NCR in October 2007. Teradata is led by Mike Koehler, the former senior vice president of NCR. Teradata's headquarters is located in Miamisburg, Ohio. Teradata is an enterprise software company that develops and sells a relational database management system (RDBMS) with the same name. In February 2011, Gartner ranked Teradata as one of the leading companies in data warehousing and enterprise analytics. Teradata was a division of the NCR Corporation, which acquired Teradata on February 28, 1991. Teradata's revenues in 2005 were almost $1.5 billion with an operating margin of 21%. On January 8, 2007, NCR announced that it would spin-off Teradata as an independently traded company, and this spin-off was completed October 1 of the same year, with Teradata trading under the NYSE stock symbol TDC. The Teradata product is referred to as a |data warehouse system| and stores and manages data. The data warehouses use a |shared nothing architecture,| which...

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Book which was published by University-Press.org since 2013-09 have ISBNs, ISBN 13 Code is 9781230837727 and ISBN 10 Code is 1230837728

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Oracle Data Warehousing

Oracle Data Warehousing
By:Michael J. Corey
Published on 1997 by Berkeley, Calif. ; Montreal : Osborne McGraw-Hill

Because Oracle has such a commanding lead in the data warehousing marketplace, this should be the title of choice for anyone who is looking to plan, build, or customize a data warehouse. The authors take readers step by step through setting up a data warehouse with Oracle, providing plenty of tips, tricks and techniques on how to make it an effective business tool.

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

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Book which was published by Berkeley, Calif. ; Montreal : Osborne McGraw-Hill since 1997 have ISBNs, ISBN 13 Code is 9780078822421 and ISBN 10 Code is 0078822424

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Agile Data Warehousing

Agile Data Warehousing
By:Ralph Hughes
Published on 2008 by iUniverse

Contains a six-stage plan for starting new warehouse projects and guiding programmers step-by-step until they become a world-class, Agile development team. It describes also how to avoid or contain the fierce opposition that radically new methods can encounter from the traditionally-minded IS departments found in many large companies.

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

Book ID of Agile Data Warehousing's Books is AFtxwlJpqZQC, Book which was written byRalph Hugheshave ETAG "egyKSsoup9A"

Book which was published by iUniverse since 2008 have ISBNs, ISBN 13 Code is 9780595471676 and ISBN 10 Code is 0595471676

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Mastering Data Warehouse Design

Mastering Data Warehouse Design
By:Claudia Imhoff,Nicholas Galemmo,Jonathan G. Geiger
Published on 2003 by Wiley

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 6 by Google Books for keyword Data Warehousing.

Book ID of Mastering Data Warehouse Design's Books is FN1a1lUzgL8C, Book which was written byClaudia Imhoff,Nicholas Galemmo,Jonathan G. Geigerhave ETAG "6VkZ6IWkalg"

Book which was published by Wiley since 2003 have ISBNs, ISBN 13 Code is 9780471324218 and ISBN 10 Code is 0471324213

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Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
By:Ladjel Bellatreche,Mukesh K. Mohania
Published on 2013-08-23 by Springer

This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on modeling and ETL, query optimization and parallelism, spatial data warehouses and applications, text mining and OLAP, recommendation and prediction, data mining optimization and machine learning techniques, mining and processing data streams, clustering and data mining applications, social network and graph mining, and event sequence and Web mining.

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

Book ID of Data Warehousing and Knowledge Discovery's Books is Zia5BQAAQBAJ, Book which was written byLadjel Bellatreche,Mukesh K. Mohaniahave ETAG "LrJgif8zjyE"

Book which was published by Springer since 2013-08-23 have ISBNs, ISBN 13 Code is 9783642401312 and ISBN 10 Code is 3642401317

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Learning PostgreSQL 10 - Second Edition

Learning PostgreSQL 10 - Second Edition
By:Salahaldin Juba,Andrey Volkov
Published on 2017-11-28 by

Leverage the power of PostgreSQL 10 to build powerful database and data warehousing applications.About This Book* Be introduced to the concept of relational databases and PostgreSQL, one of the fastest growing open source databases in the world* Learn client-side and server-side programming in PostgreSQL, and how to administer PostgreSQL databases* Discover tips on implementing efficient database solutions with PostgreSQL 10Who This Book Is ForIf you're interested in learning more about PostgreSQL - one of the most popular relational databases in the world, then this book is for you. Those looking to build solid database or data warehousing applications with PostgreSQL 10 will also find this book a useful resource. No prior knowledge of database programming or administration is required to get started with this book.What You Will Learn* Understand the fundamentals of relational databases, relational algebra, and data modeling* Install a PostgreSQL cluster, create a database, and implement your data model* Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects* Use the Structured Query Language (SQL) to manipulate data in the database* Implement business logic on the server side with triggers and stored procedures using PL/pgSQL* Make use of advanced data types supported by PostgreSQL 10: Arrays, hstore, JSONB, and others* Develop OLAP database solutions using the most recent features of PostgreSQL 10* Connect your Python applications to a PostgreSQL database and work with the data efficiently* Test your database code, find bottlenecks, improve performance, and enhance the reliability of the database applicationsIn DetailPostgreSQL is one of the most popular open source databases in the world, and supports the most advanced features included in SQL standards and beyond. This book will familiarize you with the latest new features released in PostgreSQL 10, and get you up and running with building efficient PostgreSQL database solutions from scratch.We'll start with the concepts of relational databases and their core principles. Then you'll get a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We'll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You'll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects.Moving on, you'll get to know the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. This will give you a very robust background to develop, tune, test, and troubleshoot your database application. We'll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects.By the end of this book, you'll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.Style and approachThis book is a comprehensive beginner level tutorial on PostgreSQL and introduces the features of the newest version 10, along with explanation of concepts in a very easy to understand manner. Practical tips and examples are provided at every step to ensure you are able to grasp each topic as quickly as possible.

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

Book ID of Learning PostgreSQL 10 - Second Edition's Books is dE7iswEACAAJ, Book which was written bySalahaldin Juba,Andrey Volkovhave ETAG "pWaaH3deB3o"

Book which was published by since 2017-11-28 have ISBNs, ISBN 13 Code is 9781788392013 and ISBN 10 Code is 1788392019

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Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
By:A Min Tjoa
Published on 2006-08-30 by Springer Science & Business Media

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in Krakow, Poland in September 2006 in conjunction with DEXA 2006. The 53 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

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

Book ID of Data Warehousing and Knowledge Discovery's Books is 2MXz3RXWV5cC, Book which was written byA Min Tjoahave ETAG "rrNendOYX2k"

Book which was published by Springer Science & Business Media since 2006-08-30 have ISBNs, ISBN 13 Code is 9783540377368 and ISBN 10 Code is 3540377360

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Data Warehousing Fundamentals

Data Warehousing Fundamentals
By:Paulraj Ponniah
Published on 2001-09-11 by Wiley-Interscience

Geared to IT professionals eager to get into the all-important field of data warehousing, this book explores all topics needed by those who design and implement data warehouses. Readers will learn about planning requirements, architecture, infrastructure, data preparation, information delivery, implementation, and maintenance. They'll also find a wealth of industry examples garnered from the author's 25 years of experience in designing and implementing databases and data warehouse applications for major corporations. Market: IT Professionals, Consultants.

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

Book ID of Data Warehousing Fundamentals's Books is 2vywugEACAAJ, Book which was written byPaulraj Ponniahhave ETAG "WASMBa64f+k"

Book which was published by Wiley-Interscience since 2001-09-11 have ISBNs, ISBN 13 Code is 9780471412540 and ISBN 10 Code is 0471412546

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Data Warehousing In Action

Data Warehousing In Action
By:Sean Kelly
Published on 2007-03-19 by John Wiley & Sons

Data Warehousing in Action provides the tools to harness data and transform it into useful customized bytes of information. This book is a fully comprehensive account of how to proceed with the data warehouse project in a clear step-by-step fashion. It reviews the marketplace, the technology, the design issues, and the management issues. It includes real company experiences from research carried out in 30 countries. It focuses on the topics needed to design and implement a meaningful data warehousing architecture including: Identifying industrial applications for data warehouses; Frameworks for building a data warehouse; Choosing the right architecture and technologies; Outline methodologies for managing the project; and future proofing the design.· Planning the Data Warehouse· Integrating the Data--The Data Warehouse Infrastructure· Exploiting the Data--The Data Warehouse Applications· Looking to the Future--Next Generation Data Warehouse

This Book was ranked at 27 by Google Books for keyword Data Warehousing.

Book ID of Data Warehousing In Action's Books is smM-VqgrjvcC, Book which was written bySean Kellyhave ETAG "nc2DJXjP1RQ"

Book which was published by John Wiley & Sons since 2007-03-19 have ISBNs, ISBN 13 Code is 9788126511860 and ISBN 10 Code is 8126511869

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Decision Support in the Data Warehouse

Decision Support in the Data Warehouse
By:Paul Gray,Hugh J. Watson
Published on 1998 by Prentice Hall

Most data warehousing books provide little information about the applications or tools that deliver the business value that the data warehouse provides. The title includes a comprehensive survey of tools and technologies available today. This book explores decision support in a data warehousing environment. Focus is on building front-end decision support systems.

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

Book ID of Decision Support in the Data Warehouse's Books is lqEZAQAAIAAJ, Book which was written byPaul Gray,Hugh J. Watsonhave ETAG "J5KVutlPY04"

Book which was published by Prentice Hall since 1998 have ISBNs, ISBN 13 Code is 9780137960798 and ISBN 10 Code is 0137960794

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Data warehouse design solutions

Data warehouse design solutions
By:Christopher Adamson,Michael Venerable
Published on 1998 by John Wiley & Sons Inc

|Each chapter is... a practice run for the way we all ought to design our data marts and hence our data warehouses.|-Ralph Kimball, from the Foreword. Let the experts show you how to customize data warehouse designs for real business needs in Data Warehouse Design Solutions. To effectively design a data warehouse, you have to understand its many business uses. This guidebook shows you how business managers in different corporate functions actually use data warehouses to make decisions. You'll get a rich set of data warehouse designs that flow from realistic business cases. Two top experts show you how to customize your data warehouse designs for real-life business needs including: * Sales and marketing * Production and inventory management * Budgeting and financial reporting * Quality control * Product delivery and fulfillment * Strategic business analysis such as determining market share, rates of return on investment, and other key analytic ratios. CD-ROM includes All sample data warehouse designs with accompanying preformatted reports in HTML for specific business uses such as marketing, sales, and financial analysis.

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

Book ID of Data warehouse design solutions's Books is IMRXAAAAYAAJ, Book which was written byChristopher Adamson,Michael Venerablehave ETAG "00ewQgEE4Zg"

Book which was published by John Wiley & Sons Inc since 1998 have ISBNs, ISBN 13 Code is and ISBN 10 Code is

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Data Warehousing

Data Warehousing
By:Paul Westerman
Published on 2001 by Morgan Kaufmann

Data Warehousing: Using the Wal-Mart Model is a practical guide to both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way. As its title suggests, it examines the development of the world's largest, most famous, and most ambitious commercial database. Westerman draws on this extensive, continuous example to teach readers the general principles and specific techniques needed to be a valuable part of their organisation's own data warehouse project, however large or small. What further sets it apart is its focus on the data.

This Book was ranked at 13 by Google Books for keyword Data Warehousing.

Book ID of Data Warehousing's Books is dXazzPSLC6UC, Book which was written byPaul Westermanhave ETAG "GUtgcc3tjMo"

Book which was published by Morgan Kaufmann since 2001 have ISBNs, ISBN 13 Code is 9781558606845 and ISBN 10 Code is 155860684X

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Empowering Organizations

Empowering Organizations
By:Teresina Torre,Alessio Maria Braccini,Riccardo Spinelli
Published on 2015-10-03 by Springer

This book presents a collection of original research papers focusing on the enabling aspects of Information and Communication Technologies. In particular, it focuses on the two topics of digital platforms and digital artefacts, and discusses their role in enabling organizations to achieve specific goals, to exploit innovative value propositions, or to leverage innovative coordination mechanisms. Adopting a multidisciplinary perspective on a variety of information systems topics, the book offers interesting insights for IS managers, business managers, and policymakers alike. It is based on a selection of the best research papers - original double-blind peer-reviewed contributions - presented at the annual conference of the Italian chapter of the AIS, held in Genoa (Italy) in November 2014.

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

Book ID of Empowering Organizations's Books is eZ6oCgAAQBAJ, Book which was written byTeresina Torre,Alessio Maria Braccini,Riccardo Spinellihave ETAG "ZD7phJKHmhs"

Book which was published by Springer since 2015-10-03 have ISBNs, ISBN 13 Code is 9783319237848 and ISBN 10 Code is 3319237845

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Improving the Performance of Near Real-time Data Warehouses

Improving the Performance of Near Real-time Data Warehouses
By:Zhe Wang
Published on 2014 by

A data warehouse is a database, which is used for data analysis and reporting purposes. When a data warehouse is used in business applications, a requirement is that data is processed and refreshed in a timely fashion. Typically, data warehouses are updated in a batch fashion. But the delay in this off-line update can not meet the high demand of real-time updating. Active data warehousing is considered to be an alternative to the traditional data warehousing mechanism. It provides a better way to process real-time data in order to achieve a higher consistency between the stored information and the latest data updates. One of the key components of performing real-time data integration is the join between the incoming data stream and a disk relation. There is a heated discussion about the trade-off between the throughput and memory usage in streambased join algorithms. Many efforts have been made in the stream-based join research area to figure out the best practice. R-MESHJOIN is a novel and improved streambased join algorithm, which could tune the memory allocation of key components. On the one hand, R-MESHJOIN removes the dependency between the number of iterations to bring the disk relation into memory and the size of partitions in an internal queue of the stream data. On the other hand, the R-MESHJOIN algorithm is based on equi-join, which means the join performed is based on join attribute equality. In some scenarios, the stream-based join is not limited to equi-join. Similarity join (also known as non-equi join) is also required. Clearly, an improved algorithm is needed for handling similar scenarios. This thesis proposes a trie-based data structure for performing non-equi stream-based joins. To handle the similarity join scenario and store the matching attribute, we build an ordered tree data structure based on a trie. The join attribute is stored in the trie. The trie-based similarity join structure is integrated with R-MESHJOIN. To perform a non-equi join based on R-MESHJOIN, the algorithm traverses the trie to complete the fuzzy match with the join attribute and picks up the corresponding tuple as a result. A prototype of the trie-based data structure and integrated R-MESHJOIN algorithm have been implemented and the overheads of the algorithm are measured.

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Agile Database Techniques

Agile Database Techniques
By:Scott Ambler
Published on 2012-09-17 by John Wiley & Sons

Describes Agile Modeling Driven Design (AMDD) and Test-Driven Design (TDD) approaches, database refactoring, database encapsulation strategies, and tools that support evolutionary techniques Agile software developers often use object and relational database (RDB) technology together and as a result must overcome the impedance mismatch The author covers techniques for mapping objects to RDBs and for implementing concurrency control, referential integrity, shared business logic, security access control, reports, and XML An agile foundation describes fundamental skills that all agile software developers require, particularly Agile DBAs Includes object modeling, UML data modeling, data normalization, class normalization, and how to deal with legacy databases Scott W. Ambler is author of Agile Modeling (0471202827), a contributing editor with Software Development (www.sdmagazine.com), and a featured speaker at software conferences worldwide

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

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SharePoint 2013

SharePoint 2013
By:Errin O'Connor
Published on 2014 by Pearson Education

Provides information on best practices and strategies for SharePoint implementation, including integrating SharePoint with external data sources, governance strategies, planning for disaster recovery, records management, and security.

This Book was ranked at 29 by Google Books for keyword Data Warehousing.

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Book which was published by Pearson Education since 2014 have ISBNs, ISBN 13 Code is 9780789751195 and ISBN 10 Code is 0789751194

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Data Science for Business: Data Mining, Data Warehousing, Data ...

Data Science for Business: Data Mining, Data Warehousing, Data ...
By:
Published on by

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

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Data Warehousing

Data Warehousing
By:Harry Singh
Published on 1998 by Prentice Hall

Every organization today is overflowing with data, records, and files. The smart ones are restructuring this hidden treasure into accessible, reconciled data warehouses. Data Warehousing gives you all the necessary tools to work this transformation on your archives so you can build and manage a successful data warehouse. Data Warehousing is intended to provide practical guidance for users who are familiar with database technologies and client/server architectures, but it is not based on any specific hardware or software. A full bibliography and glossary help bridge the gap to familiarize users with technology and terms.

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

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Using the data warehouse

Using the data warehouse
By:William H. Inmon,Richard D. Hackathorn
Published on 1994-07-27 by John Wiley & Sons Inc

This book describes exactly how to use a data warehouse once it's been constructed. The discussion of how to use information to capture and maintain competitive advantage will be of particular strategic interest to marketing, production, and other line managers. Database professionals will appreciate the tactical advice on this topic.

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

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Smart Business Intelligence Solutions with Microsoft SQL Server 2008

Smart Business Intelligence Solutions with Microsoft SQL Server 2008
By:Lynn Langit,Kevin S. Goff,Davide Mauri,Sahil Malik,John Welch
Published on 2009-02-04 by Microsoft Press

Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions using SQL Server 2008—whether you’re new to business intelligence (BI) programming or a seasoned pro. With real-world examples and insights from an expert team, you’ll master the concepts, tools, and techniques for building solutions that deliver intelligence—and business value—exactly where users want it. Discover how to: Manage the development life cycle and build a BI team Dig into SQL Server Analysis Services, Integration Services, and Reporting Services Navigate the Business Intelligence Development Studio (BIDS) Write queries that rank, sort, and drill down on sales data Develop extract, transform, and load (ETL) solutions Add a source code control system Help secure packages for deployment via encryption and credentials Use MDX and DMX Query Designers to build reports based on OLAP cubes and data mining models Create and implement custom objects using .NET code View reports in Microsoft Office Excel and Office SharePoint Serverook

This Book was ranked at 41 by Google Books for keyword Data Warehousing.

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Book which was published by Microsoft Press since 2009-02-04 have ISBNs, ISBN 13 Code is 9780735638341 and ISBN 10 Code is 0735638349

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Advanced Data Warehousing

Advanced Data Warehousing
By:MicroStrategy University
Published on 2013-09-01 by MicroStrategy Inc.

The MicroStrategy Advanced Data Warehousing course explains data modeling design challenges and solutions when implementing a MicroStrategy project. The course assumes prerequisite knowledge of MicroStrategy Desktop: Reporting Essentials, MicroStrategy Architect: Project Design Essentials, and MicroStrategy Architect: Advanced Project Design. You will learn how to model complex hierarchies and attribute relationships, implement role attributes and versioning, use logical views, and optimize query performance.

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

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Book which was published by MicroStrategy Inc. since 2013-09-01 have ISBNs, ISBN 13 Code is 9781937418427 and ISBN 10 Code is 1937418421

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Feature Engineering for Machine Learning

Feature Engineering for Machine Learning
By:Alice Zheng,Amanda Casari
Published on 2018-03-23 by |O'Reilly Media, Inc.|

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques

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

Book ID of Feature Engineering for Machine Learning's Books is sthSDwAAQBAJ, Book which was written byAlice Zheng,Amanda Casarihave ETAG "9sgf6wfo+LQ"

Book which was published by |O'Reilly Media, Inc.| since 2018-03-23 have ISBNs, ISBN 13 Code is 9781491953198 and ISBN 10 Code is 1491953195

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Decision Support in the Data Warehouse

Decision Support in the Data Warehouse
By:Paul Gray,Hugh J. Watson
Published on 1998 by Prentice Hall

Most data warehousing books provide little information about the applications or tools that deliver the business value that the data warehouse provides. The title includes a comprehensive survey of tools and technologies available today. This book explores decision support in a data warehousing environment. Focus is on building front-end decision support systems.

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

Book ID of Decision Support in the Data Warehouse's Books is lqEZAQAAIAAJ, Book which was written byPaul Gray,Hugh J. Watsonhave ETAG "tQwvvAm557A"

Book which was published by Prentice Hall since 1998 have ISBNs, ISBN 13 Code is 9780137960798 and ISBN 10 Code is 0137960794

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Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
By:Yahiko Kambayashi,Mukesh Mohania,Wolfram Wöß
Published on 2004-08-18 by Springer Science & Business Media

This book constitutes the refereed proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004. The 40 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on data warehouse design; knowledge discovery framework and XML data mining, data cubes and queries; multidimensional schema and data aggregation; inductive databases and temporal rules; industrial applications; data clustering; data visualization and exploration; data classification, extraction, and interpretation; data semantics, association rule mining; event sequence mining; and pattern mining.

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

Book ID of Data Warehousing and Knowledge Discovery's Books is bj9houzNhBYC, Book which was written byYahiko Kambayashi,Mukesh Mohania,Wolfram Wößhave ETAG "rDn7AyU6eYc"

Book which was published by Springer Science & Business Media since 2004-08-18 have ISBNs, ISBN 13 Code is 9783540229377 and ISBN 10 Code is 354022937X

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International Journal of Data Warehousing and Mining, Volume 2

International Journal of Data Warehousing and Mining, Volume 2
By:
Published on 2006 by

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

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Book which was published by since 2006 have ISBNs, ISBN 13 Code is 9781615202119 and ISBN 10 Code is 1615202110

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Data Warehousing and Data Mining Techniques for Cyber Security

Data Warehousing and Data Mining Techniques for Cyber Security
By:Anoop Singhal
Published on 2007-04-06 by Springer Science & Business Media

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in industry, and is also suitable as a text for advanced-level students in computer science.

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

Book ID of Data Warehousing and Data Mining Techniques for Cyber Security's Books is lZk9skkVjHAC, Book which was written byAnoop Singhalhave ETAG "rvVURlUiFcw"

Book which was published by Springer Science & Business Media since 2007-04-06 have ISBNs, ISBN 13 Code is 9780387476537 and ISBN 10 Code is 0387476539

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Competing with High Quality Data

Competing with High Quality Data
By:Rajesh Jugulum
Published on 2014-03-10 by John Wiley & Sons

Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry, butlow-quality data can actually put a company at a disadvantage. Tobe used effectively, data must accurately reflect the real-worldscenario it represents, and it must be in a form that is usable andaccessible. Quality data involves asking the right questions,targeting the correct parameters, and having an effective internalmanagement, organization, and access system. It must be relevant,complete, and correct, while falling in line with pervasiveregulatory oversight programs. Competing with High Quality Data: Concepts, Tools andTechniques for Building a Successful Approach to Data Qualitytakes a holistic approach to improving data quality, fromcollection to usage. Author Rajesh Jugulum is globally-recognizedas a major voice in the data quality arena, with high-levelbackgrounds in international corporate finance. In the book,Jugulum provides a roadmap to data quality innovation,covering topics such as: The four-phase approach to data quality control Methodology that produces data sets for different aspects of abusiness Streamlined data quality assessment and issue resolution A structured, systematic, disciplined approach to effectivedata gathering The book also contains real-world case studies to illustrate howcompanies across a broad range of sectors have employed dataquality systems, whether or not they succeeded, and what lessonswere learned. High-quality data increases value throughout theinformation supply chain, and the benefits extend to the client,employee, and shareholder. Competing with High Quality Data:Concepts, Tools and Techniques for Building a Successful Approachto Data Quality provides the information and guidance necessaryto formulate and activate an effective data quality plan today.

This Book was ranked at 6 by Google Books for keyword Data Warehousing.

Book ID of Competing with High Quality Data's Books is 2RYRAwAAQBAJ, Book which was written byRajesh Jugulumhave ETAG "c+6eBubPCXU"

Book which was published by John Wiley & Sons since 2014-03-10 have ISBNs, ISBN 13 Code is 9781118416495 and ISBN 10 Code is 111841649X

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Pentaho Solutions

Pentaho Solutions
By:Roland Bouman,Jos van Dongen
Published on 2010-09-23 by John Wiley & Sons

Your all-in-one resource for using Pentaho with MySQL for Business Intelligence and Data Warehousing Open-source Pentaho provides business intelligence (BI) and data warehousing solutions at a fraction of the cost of proprietary solutions. Now you can take advantage of Pentaho for your business needs with this practical guide written by two major participants in the Pentaho community. The book covers all components of the Pentaho BI Suite. You'll learn to install, use, and maintain Pentaho-and find plenty of background discussion that will bring you thoroughly up to speed on BI and Pentaho concepts. Of all available open source BI products, Pentaho offers the most comprehensive toolset and is the fastest growing open source product suite Explains how to build and load a data warehouse with Pentaho Kettle for data integration/ETL, manually create JFree (pentaho reporting services) reports using direct SQL queries, and create Mondrian (Pentaho analysis services) cubes and attach them to a JPivot cube browser Review deploying reports, cubes and metadata to the Pentaho platform in order to distribute BI solutions to end-users Shows how to set up scheduling, subscription and automatic distribution The companion Web site provides complete source code examples, sample data, and links to related resources.

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

Book ID of Pentaho Solutions's Books is LKwWehsE2WYC, Book which was written byRoland Bouman,Jos van Dongenhave ETAG "ssfpGg1eUKQ"

Book which was published by John Wiley & Sons since 2010-09-23 have ISBNs, ISBN 13 Code is 9780470572726 and ISBN 10 Code is 0470572728

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