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- DescriptionBetween 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 kwledge, 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 kwledge 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 kwledge. Finally, you'll give your career a boost by demonstrating an essential kwledge that puts corporate BI projects on a fast-track to success.
- Author BiographyRick Sherman is the founder of Athena IT Solutions, which provides consulting, training and vendor services for business intelligence, analytics, data integration and data warehousing. He is an adjunct faculty member at Northeastern University's Graduate School of Engineering and is a frequent contributor to industry publications, events, and webinars.
- Author(s)Rick Sherman
- PublisherElsevier Science & Technology
- Date of Publication14/11/2014
- SubjectManagement & Business: General
- Place of PublicationSan Francisco
- Country of PublicationUnited States
- ImprintMorgan Kaufmann Publishers In
- Content NoteApprox. 100 illustrations
- Weight1110 g
- Width190 mm
- Height235 mm
- Spine18 mm
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