Business Intelligence Guidebook: From Data Integration To Analytics

Between the high-level concepts of business intelligence and the detailed instructions for using vendors’ tools lies the often overlooked layer of architecture, design, and process. Without this knowledge, Big Data projects may struggle, delay, or go over budget. Business Intelligence From Data Integration to Analytics highlights this critical area, providing the understanding needed to create effective business intelligence and data integration processes. Consultant and adjunct BI professor Rick Sherman offers guidance on designing cost-effective, reusable systems that transform raw data into valuable business insights. This book enables you to design the architecture for effective BI systems, develop data warehousing and data-integration applications, and successfully manage projects to turn data into actionable information, boosting your career prospects.