Published April 27, 2001
by GWV-Vieweg .
Written in English
|The Physical Object|
|Number of Pages||336|
Data Warehousing: Using the Wal-Mart Model (The Morgan Kaufmann Series in Data Management Systems) This is an interesting book written by one of the architects of the Wal-Mart Data Warehouse. He describes his initial design and it’s subsequent phenomenal growth. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. Data Warehousing & Mining: Books. 1 - 20 of results. Grid View Grid. List View List. Add to Wishlist. Quickview. Pandas for Everyone: Python by Daniel Y. Chen. Paperback $ $ Current price is $ Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today’s Big Data. The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media.
Data Warehousing at SQL Book An Introduction to Data Warehouses and Data Warehousing This series of articles introduces the main concepts, aims and requirements of building a data warehouse to service your organisations needs. CONTENTS Foreword xxi Preface xxiii Part 1 OVERVIEW AND CONCEPTS 1 The Compelling Need for Data Warehousing 1 1 Chapter Objectives 1 1 Escalating Need for Strategic Information 2 1 The Information Crisis 3 1 Technology Trends 4 1 Opportunities and Risks 5 1 Failures of Past Decision-Support Systems 7 1 History of Decision-Support Systems 8 1 Inability to Provide Information 9. Data Warehouse and Business Intelligence Toolkit Books The Kimball Group wrote the authoritative books on dimensional data warehousing and business intelligence. Our best-selling Toolkit books are recognized for their specific, practical data warehouse and business intelligence techniques and recommendations. Data Warehousing is designed to serve as a textbook for students of Computer Science & Engineering (BE/Btech), computer applications (BCA/MCA) and computer science () for an introductory course on Data Warehousing. It provides a thorough understanding of the fundamentals of Data Warehousing and aims to impart a sound knowledge to users for creating and managing a/5(99).
Data warehouse projects consolidate data from different sources. Most of these sources tend to be relational databases or flat files, but there may be other types of sources as well. What is a Data Warehouse? Data Warehouse Architectures; Note that this book is meant as a supplement to standard texts about data warehousing. This book focuses on Oracle-specific material and does not reproduce in detail material of a general nature. Two standard texts are: The Data Warehouse Toolkit by Ralph Kimball (John Wiley and Sons, ). Data Warehousing has Become Mainstream / 46 Data Warehouse Expansion / 47 Vendor Solutions and Products / 48 SIGNIFICANT TRENDS / 50 Real-Time Data Warehousing / 50 Multiple Data Types / 50 Data Visualization / 52 Parallel Processing / 54 Data Warehouse Appliances / 56 Query Tools / 56 Browser Tools / 57 Data Fusion / 57 Data Integration / 58 File Size: 3MB. The book significantly enhances and expands upon the concepts and examples presented in the earlier editions of The Data Warehouse Toolkit. New chapter with the “official” library of the Kimball dimensional modeling techniques. Expanded coverage of advanced dimensional modeling patterns for more complex real-world scenarios, including.