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Data Mapping for Data Warehouse Design

between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business;

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Database & Data Warehousing Technologies

warehouse design approaches, base analysis techniques in data qualities framework for data warehouses, and critical factors influencing the;

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Advanced Data Warehouse Design

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references;

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Analytical Puzzle

intelligence Chapter 6: Learn about data modeling and how to apply design patterns for each part of the data warehouse Chapter 7: Speak the;

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Data Warehouse Project Management [With CD-ROM]

manager. This work addresses these challenges and provides a roadmap to managing every aspect of data warehouse design, development, and;

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Mastering Data Warehouse Design

* Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design;

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Building the Data Warehouse

methods for handling unstructured data in a data warehouse and storing data across multiple storage media, and discusses the pros and cons;

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Exam Ref 70767 Implementing a SQL Data Warehouse

Prepare for Microsoft Exam 70-767-and help demonstrate your real-world mastery of skills for managing data warehouses. This exam;

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Kimball's Data Warehouse Toolkit Classics

, dimensional modeling has become the most widely accepted technique for data warehouse design. Over the past 10 years, Kimball has improved on his;

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Dw 2.0: The Architecture For The Next Generation Of Data War

DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse;

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Agile Data Warehouse Design

Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning;

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Oracle Warehouse Builder 11g

, administrators, and architects who are responsible for data warehouse projects and need to design them and load data into them. If you are someone who;

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Data Warehouse Lifecycle Toolkit

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The;

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Oracle Data Warehouse Tuning for 10g

for Enterprise Data Warehouses Tuning a data warehouse database focuses on large transactions, mostly requiring what is known as;

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Building a Data Warehouse

Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including;

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Mastering SAS Programming for Data Warehousing

and cons of storing data in SAS. As you progress, you'll understand how to document and design extract-transform-load (ETL) protocols for SAS;

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Understanding Etl and Data Warehousing

supplied for decision making. Keeping in view the idiosyncratic characteristics of data warehouse testing and the complexity of data warehouse;

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Data Warehousing in the Age of Big Data

, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

significant extension to the robust OLAP functionality of SQL 7.0 and provide a complete, end-to-end platform for analysis. Features include: data;

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Modeling the Agile Data Warehouse with Data Vault

Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;

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Integration externer Informationen in ein Data Warehouse zur Unterstutzung des Managements

2.1Daten als Basis unternehmerischer Entscheidungen 2.2Produktions- und Wettbewerbsfaktor Information 2.3Management Support Systeme 3.Data;

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Business Intelligence Cookbook

Managers or IT professionals looking to design and develop a data warehouse and business intelligence solution, then this is the best guide for you;

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Oracle DBA Guide to Data Warehousing and Star Schemas

This book addresses all aspects of constructing star schemas within Oracle data warehouses, from modeling and design through high-speed;

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Building a Data Warehouse

/>The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for;

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Data Warehousing

commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an;

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Data Warehousing and Knowledge Discovery

submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and;

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Mapping Data Flows in Azure Data Factory

Mapping Data Flows Apply best practices for designing and managing complex ETL data pipelines in Azure Data Factory Add cloud-based ETL patterns;

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