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value price. The Data Warehouse Toolkit, 3rd Edition (9781118530801) Ralph Kimball invented a data warehousing technique called;
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first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered;
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world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998;
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A leading proponent of the dimensional data warehouse, a database model designed to improve managers' ability to quickly analyze large;
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Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies;
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studies The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis;
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2.1Daten als Basis unternehmerischer Entscheidungen 2.2Produktions- und Wettbewerbsfaktor Information 2.3Management Support Systeme 3.Data;
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Data Warehouse is a type of data organization on which decision-making systems are based. The data storage in a data warehouse system;
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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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Michael Bohnlein analysiert und bewertet Ansatze zur konzeptuellen Modellierung von Data-Warehouse-Systemen und erarbeitet auf dieser;
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Testing in data warehouse systems is substantial because it is oriented towards the correctness and validation of data/ information;
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Now available in paperback Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse;
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Jede Business-Intelligence-Anwendung beruht letzten Endes auf einem Data Warehouse. Data Warehousing ist deshalb ein sehr wichtiges Gebiet;
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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;
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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;
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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;
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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 Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;
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Data Warehouse basierte Informationssysteme. In dieser Arbeit geht es um den Einsatz eines solchen Systems fur die Analyse von;
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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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This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;
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This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;
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Data warehouse development projects present a unique set of management challenges that can confound even the most experienced project;
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, 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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The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which;
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A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality. Each year, companies lose;
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Das Data Warehouse-Konzept Der Tui Deutschland Gmbh Im Projekt Tufis is een boek van Anke Tee;
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