The Data Warehouse Challenge
The Data Warehouse Challenge

Author: Michael H. Brackett

Publisher:

Published: 1996-07-27

Total Pages: 616

ISBN-13:

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Information Technology/Database Management "...the definitive source for understanding modern data architecture. Other books have bits and pieces of architecture described, but nowhere else is there a single source that has all the components of modern data architecture in one place in an organized and readable manner." -From the Foreword by William H. Inmon The technology for compiling data has evolved to the point where most organizations now amass information faster than they can use it. The bad news is that most of that data is disparate, scattered across different databases and platforms. The time has come to tame the data chaos, and this invaluable resource shows you how. Michael H. Brackett schools you in a variety of techniques for creating a cohesive data structure that everyone in your organization can use. Step-by-step, he guides you through the entire process of planning, building, and programming a data warehouse tailored to your organization's needs. You learn how to: * Prepare and evaluate existing data for a data warehouse * Cross reference data so it's easy to find in all corporate locations * Prepare data for client/server systems * Improve the consistency and quality of existing and future data * Manage a data warehouse The Data Warehouse Challenge is an indispensable tool for database administrators and developers, systems programmers and analysts, and all those involved with helping their organizations rise to the challenge of taming data chaos.

Agile Data Warehousing Project Management
Agile Data Warehousing Project Management

Author: Ralph Hughes

Publisher: Newnes

Published: 2012-12-28

Total Pages: 379

ISBN-13: 0123965179

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You have to make sense of enormous amounts of data, and while the notion of "agile data warehousing might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious "data mart. Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. - Provides a thorough grounding on the mechanics of Scrum as well as practical advice on keeping your team on track - Includes strategies for getting accurate and actionable requirements from a team's business partner - Revolutionary estimating techniques that make forecasting labor far more understandable and accurate - Demonstrates a blends of Agile methods to simplify team management and synchronize inputs across IT specialties - Enables you and your teams to start simple and progress steadily to world-class performance levels

ERP & Data Warehousing in Organizations
ERP & Data Warehousing in Organizations

Author: Gerald G. Grant

Publisher: IGI Global

Published: 2003-01-01

Total Pages: 310

ISBN-13: 9781931777490

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"Offering enterprise resource planning (ERP) deployment strategies for information as diverse as patient records, police and community relations, and geospatial services, this text addresses the complex issues that information and communication technologies pose for small, midsize, and large organizations. Provided are recent research findings as well as practical assessments and suggestions for managers."

Data Warehousing in the Age of Big Data
Data Warehousing in the Age of Big Data

Author: Krish Krishnan

Publisher: Newnes

Published: 2013-05-02

Total Pages: 371

ISBN-13: 0124059201

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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

Building and Maintaining a Data Warehouse
Building and Maintaining a Data Warehouse

Author: Fon Silvers

Publisher: CRC Press

Published: 2008-03-18

Total Pages: 328

ISBN-13: 1420064630

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As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti

Mastering Data Warehouse Design
Mastering Data Warehouse Design

Author: Claudia Imhoff

Publisher: John Wiley & Sons

Published: 2003-08-19

Total Pages: 456

ISBN-13: 0471480924

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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

Data Mapping for Data Warehouse Design
Data Mapping for Data Warehouse Design

Author: Qamar Shahbaz

Publisher: Elsevier

Published: 2015-12-08

Total Pages: 181

ISBN-13: 0128053356

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Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. - Covers all stages of data warehousing and the role of data mapping in each - Includes a data mapping strategy and techniques that can be applied to many situations - Based on the author's years of real-world experience designing solutions

Impossible Data Warehouse Situations
Impossible Data Warehouse Situations

Author: Sid Adelman

Publisher: Addison-Wesley Professional

Published: 2003

Total Pages: 430

ISBN-13: 9780201760330

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The biggest names in Data Warehousing tell what they would do in the difficult situations DW professionals face every day. The book contains very real problem situations, and very practical solutions.