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Download PDF, EPUB, Kindle Business Intelligence Guidebook : From Data Integration to Analytics
Download PDF, EPUB, Kindle Business Intelligence Guidebook : From Data Integration to Analytics

Business Intelligence Guidebook : From Data Integration to Analytics.cRick Sherman
Business Intelligence Guidebook : From Data Integration to Analytics
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Author: Rick Sherman
Page Count: 550 pages
Published Date: 26 Nov 2014
Publisher: ELSEVIER SCIENCE & TECHNOLOGY
Publication Country: San Francisco, United States
Language: English
ISBN: 9780124114616
File size: 27 Mb
File Name: Business.Intelligence.Guidebook.From.Data.Integration.to.Analytics.pdf
Download Link: Business Intelligence Guidebook From Data Integration to Analytics
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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. * Provides practical guidelines for building successful BI, DW and data integration solutions. * Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language.* Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses * Describes best practices and pragmatic approaches so readers can put them into action. * Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.

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