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Business Intelligence Guidebook

From Data Integration to Analytics

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2014
ISBN13: 9780124114616
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Juridisch :
Elsevier Science e druk, 2014 9780124114616
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Samenvatting

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.

After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.

Specificaties

ISBN13:9780124114616
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Concepts and Context <br><br>1 Introduction<br><br>Business and Technical Needs <br>2 Justifying BI (Building Business and Technical Case<br>3 Defining Requirements - Business, Data and Quality<br><br>Architectural Framework <br>4 Architecture Introduction<br>5 Information Architecture<br>6 Data Architecture<br>7 Technology and Product Architectures<br><br>Data Design <br>8 Foundational Data Modeling<br>9 Dimensional Modeling<br>10 Advanced Dimensional Modeling<br><br>Data Integration Design <br>11 Data Integration Processes<br>12 Data Integration Design & Development<br><br>BI Design <br>13 BI Applications<br>14 BI Design & Development<br>15 Advanced Analytics<br>16 Data Shadow Systems<br><br>Organization <br>17 People, Process and Politics<br>18 Project Management<br>19 Centers of Excellence</p>

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        Business Intelligence Guidebook