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Between the highlevel concepts of business intelligence and the nittygritty instructions for using vendors tools lies the essential, yet poorlyunderstood 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 rocksolid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are costeffective, reusable and essential for transforming raw data into valuable information for business decisionmakers.After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and dataintegration 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, youll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fasttrack 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 mediumsized 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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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