Interactive Data Warehousing

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Author :
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Interactive Data Warehousing by : Harry Singh

Download or read book Interactive Data Warehousing written by Harry Singh and published by Prentice Hall. This book was released on 1999 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learn Data Warehousing in 24 Hours

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Author :
Publisher : Guru99
ISBN 13 :
Total Pages : 111 pages
Book Rating : 4./5 ( download)

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Book Synopsis Learn Data Warehousing in 24 Hours by : Alex Nordeen

Download or read book Learn Data Warehousing in 24 Hours written by Alex Nordeen and published by Guru99. This book was released on 2020-09-15 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table Of Content Chapter 1: What Is Data Warehouse? 1. What is Data Warehouse? 2. Types of Data Warehouse 3. Who needs Data warehouse? 4. Why We Need Data Warehouse? 5. Data Warehouse Tools Chapter 2: Data Warehouse Architecture 1. Characteristics of Data warehouse 2. Data Warehouse Architectures 3. Datawarehouse Components 4. Query Tools Chapter 3: ETL Process 1. What is ETL? 2. Why do you need ETL? 3. ETL Process 4. ETL tools Chapter 4: ETL Vs ELT 1. What is ETL? 2. Difference between ETL vs. ELT Chapter 5: Data Modeling 1. What is Data Modelling? 2. Types of Data Models 3. Characteristics of a physical data model Chapter 6: OLAP 1. What is Online Analytical Processing? 2. Types of OLAP systems 3. Advantages and Disadvantages of OLAP Chapter 7: Multidimensional Olap (MOLAP) 1. What is MOLAP? 2. MOLAP Architecture 3. MOLAP Tools Chapter 8: OLAP Vs OLTP 1. What is the meaning of OLAP? 2. What is the meaning of OLTP? 3. Difference between OLTP and OLAP Chapter 9: Dimensional Modeling 1. What is Dimensional Model? 2. Elements of Dimensional Data Model 3. Attributes 4. Difference between Dimension table vs. Fact table 5. Steps of Dimensional Modelling 6. Rules for Dimensional Modelling Chapter 10: Star and SnowFlake Schema 1. What is Multidimensional schemas? 2. What is a Star Schema? 3. What is a Snowflake Schema? 4. Difference between Start Schema and Snowflake Chapter 11: Data Mart 1. What is Data Mart? 2. Type of Data Mart 3. Steps in Implementing a Datamart Chapter 12: Data Mart Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Mart? 3. Differences between a Data Warehouse and a Data Mart Chapter 13: Data Lake 1. What is Data Lake? 2. Data Lake Architecture 3. Key Data Lake Concepts 4. Maturity stages of Data Lake Chapter 14: Data Lake Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Lake? 3. Key Difference between the Data Lake and Data Warehouse Chapter 15: What Is Business Intelligence? 1. What is Business Intelligence 2. Why is BI important? 3. How Business Intelligence systems are implemented? 4. Four types of BI users Chapter 16: Data Mining 1. What is Data Mining? 2. Types of Data 3. Data Mining Process 4. Modelling 5. Data Mining Techniques Chapter 17: Data Warehousing Vs Data Mining 1. What is Data warehouse? 2. What Is Data Mining? 3. Difference between Data mining and Data Warehousing?

Building the Data Warehouse

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471270482
Total Pages : 434 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Building the Data Warehouse by : W. H. Inmon

Download or read book Building the Data Warehouse written by W. H. Inmon and published by John Wiley & Sons. This book was released on 2002-10-01 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Data Warehouse Toolkit

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118732286
Total Pages : 600 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis The Data Warehouse Toolkit by : Ralph Kimball

Download or read book The Data Warehouse Toolkit written by Ralph Kimball and published by John Wiley & Sons. This book was released on 2013-07-01 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated new edition of Ralph Kimball's groundbreaking book ondimensional modeling for data warehousing and businessintelligence! The first edition of Ralph Kimball's The Data WarehouseToolkit introduced the industry to dimensional modeling,and now his books are considered the most authoritative guides inthis space. This new third edition is a complete library of updateddimensional modeling techniques, the most comprehensive collectionever. It covers new and enhanced star schema dimensional modelingpatterns, adds two new chapters on ETL techniques, includes new andexpanded business matrices for 12 case studies, and more. Authored by Ralph Kimball and Margy Ross, known worldwide aseducators, consultants, and influential thought leaders in datawarehousing and business intelligence Begins with fundamental design recommendations and progressesthrough increasingly complex scenarios Presents unique modeling techniques for business applicationssuch as inventory management, procurement, invoicing, accounting,customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries,including retail sales, financial services, telecommunications,education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand andprovide fast query response with The Data WarehouseToolkit: The Definitive Guide to Dimensional Modeling, 3rdEdition.

DW 2.0: The Architecture for the Next Generation of Data Warehousing

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Author :
Publisher : Elsevier
ISBN 13 : 9780080558332
Total Pages : 400 pages
Book Rating : 4.3X/5 ( download)

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Book Synopsis DW 2.0: The Architecture for the Next Generation of Data Warehousing by : W.H. Inmon

Download or read book DW 2.0: The Architecture for the Next Generation of Data Warehousing written by W.H. Inmon and published by Elsevier. This book was released on 2010-07-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0. It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals. * First book on the new generation of data warehouse architecture, DW 2.0. * Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network. * Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.

Clickstream Data Warehousing

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Author :
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis Clickstream Data Warehousing by : Mark Sweiger

Download or read book Clickstream Data Warehousing written by Mark Sweiger and published by John Wiley & Sons. This book was released on 2002-01-22 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first, step-by-step guide to building Web-enabled data warehouses The Web can be an incredibly rich source of customer data, and right now companies across industry sectors are hustling to get up and running with data warehouses capable of capturing the clickstream data from their Web sites. This allows companies to track exactly where a customer is going, or "clicking to," on their site in order to gain meaningful information about that customer's preferences. Following Ralph Kimball's The Data Webhouse Toolkit (0-471-37680-9) where he provides the blueprint, Clickstream Data Warehousing fills developers in on all the technical details that go into building a Web-enabled data warehouse. The authors review all key architectural and design issues that developers need to masterfully build a Webhouse using examples to illustrate key points. Companion Web site features code examples from the book and links to related Web sites.

Encyclopedia of Data Warehousing and Mining, Second Edition

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Author :
Publisher : IGI Global
ISBN 13 : 1605660116
Total Pages : 2542 pages
Book Rating : 4.10/5 ( download)

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Book Synopsis Encyclopedia of Data Warehousing and Mining, Second Edition by : Wang, John

Download or read book Encyclopedia of Data Warehousing and Mining, Second Edition written by Wang, John and published by IGI Global. This book was released on 2008-08-31 with total page 2542 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Data Warehousing Fundamentals

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Publisher : John Wiley & Sons
ISBN 13 : 0471463892
Total Pages : 544 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Data Warehousing Fundamentals by : Paulraj Ponniah

Download or read book Data Warehousing Fundamentals written by Paulraj Ponniah and published by John Wiley & Sons. This book was released on 2004-04-07 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geared to IT professionals eager to get into the all-importantfield of data warehousing, this book explores all topics needed bythose who design and implement data warehouses. Readers will learnabout planning requirements, architecture, infrastructure, datapreparation, information delivery, implementation, and maintenance.They'll also find a wealth of industry examples garnered from theauthor's 25 years of experience in designing and implementingdatabases and data warehouse applications for majorcorporations. Market: IT Professionals, Consultants.

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics

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Author :
Publisher : IGI Global
ISBN 13 : 160566233X
Total Pages : 390 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics by : Taniar, David

Download or read book Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics written by Taniar, David and published by IGI Global. This book was released on 2009-02-28 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

THE DATA WAREHOUSE ETL TOOLKIT

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 9788126505548
Total Pages : 524 pages
Book Rating : 4.40/5 ( download)

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Book Synopsis THE DATA WAREHOUSE ETL TOOLKIT by : Ralph Kimball & Joe Caserta

Download or read book THE DATA WAREHOUSE ETL TOOLKIT written by Ralph Kimball & Joe Caserta and published by John Wiley & Sons. This book was released on 2004 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · Data Warehouse Developers and Administrators Special Features: · Ralph Kimball, the author of this book, is far-and-away the best-selling author on data warehousing· His new book covers the most difficult, time-consuming, and labor-intensive phase of building a data warehouse; this is essential information that data warehouse developers and managers need to know· Kimball can be expected to actively promote this book through his column in Intelligent Enterprise magazine, through classes offered by his training organization, Kimball University, and online About The Book: The Data Warehouse ETL Toolkit shows data warehouse developers how to effectively manage the ETL (Extract, Transform, and Load) phase of the data warehouse development lifecycle. The authors show developers the best methods for extracting data from scattered sources throughout the enterprise, removing obsolete, redundant, and inaccurate data, transforming the remaining data into correctly formatted data structures, and then physically loading them into the data warehouse.