1. Introduction -- 2. Big data concepts, techniques, and technologies -- 3. OLTP-oriented databases for big data environments -- 4. OLAP-oriented databases for big data environments -- 5. Design and implementation of big data warehouses -- 6. Big data warehouses modeling: from theory to practice -- 7. Fueling analytical objects in big data warehouses -- 8. Evaluating the performance of big data warehouses -- 9. Big data warehousing in smart cities -- 10. Conclusion.
Summary
"This book addresses models and methods for designing and implementing big data systems to support mixed and complex decision processes, giving special attention to big data warehouses as a way of efficiently storing and processing batch or streaming data for structured or semi-structured analytical problems." -- provided by publisher.
Local Note
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America