000 01904cam a22001578i 4500
008 141006s2015 ne 000 0 eng
020 _a9780124114616
082 0 0 _a658.472
_bS4B8
100 1 _aSherman, Rick
_9312241
245 1 0 _aBusiness intelligence guidebook: from data integration to analytics
_cSherman, Rick
260 _aAmsterdam
_bMorgan Kaufmann, Elsevier
_c2015
300 _axxiii, 525 p.
520 _aBetween 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 BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable, and essential for delivering vital Big Data into the hands of business decision-makers. After reading this book, you will be able to design the overall architecture for functioning data warehousing, business intelligence, and data-integration systems. You will have the information you need to plan, budget, and manage a successful business intelligence program through its entire lifecycle, and build and implement data integration and BI systems that are cost-effective, on-time, and increase the business ROI of Big Data. Finally, you all give your career a boost by demonstrating essential knowledge that puts corporate BI projects on a fast-track to success.(http://www.elsevier.com/books/business-intelligence-guidebook/sherman/978-0-12-411461-6)
650 0 _aBusiness intelligence
_9312242
942 _2ddc
_cBK
999 _c194865
_d194865