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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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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

advanced design of database management systems, the database and the data warehouse can be stored on the same data server (in the same data center;

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Building the Data Warehouse

of relational versus multidimensional design and how to measure return on investment in planning data warehouse projects. It covers advanced topics;

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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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The Modern Data Warehouse in Azure

Intermediate-Advanced user level;

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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 A Scalable Data Warehouse With

warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the;

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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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Exam Ref 70767 Implementing a SQL Data Warehouse

measured by these objectives: * Design, and implement, and maintain a data warehouse * Extract, transform, and load data * Build;

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Data Warehouse Systems

Fundamental Concepts including multi-dimensional models; conceptual and logical data warehouse design and MDX and SQL/OLAP. Subsequently, Part II;

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

, systems design and development professionals, as well as data warehouse and knowledge management professionals. * First book on the new;

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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

Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database;

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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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The Modern Data Warehouse in Azure

Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data;

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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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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 Primavera P6 Version 8

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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Data Warehousing in the Age of Big Data

effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Learn how to;

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Fundamentals of Data Warehouses

covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design;

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Professional SQL Server 2000 Data Warehousing with Analysis Services

data mart principles; Microsoft SQL Server data warehousing and OLAP architecture and features; how to design and administer a data warehouse;

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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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Building a Data Warehouse

defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases;

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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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