An Introduction to Data Mining
by Saed Sayad
Publisher: University of Toronto 2011
Data Mining is about explaining the past and predicting the future by means of data analysis. Data mining is a multidisciplinary field which combines statistics, machine learning, artificial intelligence and database technology. The value of data mining applications is often estimated to be very high.
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by Chuck Ballard, et al. - IBM Redbooks
It covers data modeling techniques for data warehousing, within the context of the overall data warehouse development process. The process of data warehouse modeling, including the steps required before and after the actual modeling, is discussed.
by P. A. Bernstein, V. Hadzilacos, N. Goodman - Addison Wesley
This book is about techniques for concurrency control and recovery. It covers techniques for centralized and distributed computer systems, and for single copy, multiversion, and replicated databases. Example applications are included.
by J. M. Hellerstein, M. Stonebraker - UC Berkeley
These lecture notes provide students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area.
by Clinton Gormley, Zachary Tong - O'Reilly
Whether you need full-text search or real-time analytics of data, this book introduces you to the fundamental concepts required to start working with Elasticsearch. With these foundations laid, it will move on to more-advanced search techniques.