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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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that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database;
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EWM setup: defining organizational structures, working with master data, and configuring settings. Then move on to business processes: goods;
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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;
Vergelijkbare producten zoals Developing a Data Warehouse for the Healthcare Enterprise
This third edition to the award-winning book is a straightforward view of a clinical data warehouse development project, from inception;
Vergelijkbare producten zoals Developing a Data Warehouse for the Healthcare Enterprise
warehouse project inception through on-going program management. Updates industry best practices to be in sync with current recommendations;
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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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, meaning that it should be fully integrated with the internal data organization. These data records must include a longer period of time (five, ten;
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die idealen Systemeigenschaften und -komponenten der Systeme. Dem Buch liegt eine CD-ROM mit einem voll lauffAhigen WMS bei (Open Source;
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Get your warehouses up and running in SAP S/4HANA! With this implementation guide to extended warehouse management (EWM) in SAP S/4HANA;
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and management Written by Bill Inmon, one of the fathers of the data warehouse and well-known author, and filled with war stories;
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and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details;
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knowledge of data warehousing, business intelligence and analytics Chapter 2: Build the business case needed to sell your data warehousing project;
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techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with;
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This book is written in a simple, easy to understand format with lots of screenshots and step-by-step explanations. If you are Project;
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This book is written in a simple, easy to understand format with lots of screenshots and step-by-step explanations. If you are Project;
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Warehouse and Business Information Quality arms you with a comprehensive set of tools and techniques for ensuring data quality both in source;
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Business Intelligence and Data Warehousing deals with the main components of a data warehouse for business intelligence applications;
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Aimed at helping business and IT managers clearly communicate with each other, this helpful book addresses concerns straight-on and;
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new edition of Warehouse Management includes useful warehouse audit checklists and is firmly supported with insightful photographs, video;
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with designing ETL control flows, using and debugging SSIS packages, accessing and importing or exporting data from multiple sources, and;
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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;
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projects, this research has reviewed and revised the scope of automated testing in assuring quality data warehouse solutions. Initially a data set;
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wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to;
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results of the European DWQ project, it offers a conceptual framework by which the architecture and quality of data warehousing efforts can be;
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data mart. It is a 'must have' reference for database developers, administrators and IT professionals who want to get to work now with all;
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Pop the hood on SAP S/4HANA with this guide to its technical and application architecture! Understand the new data and programming models;
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