by Neeraj Sharma, at al.
Publisher: IBM Corporation 2010
Number of pages: 282
Data is one of the most valuable assets a company has. Relational and hierarchical databases have been used in the industry for decades. This book teaches you the fundamentals of databases, including relational database theory, logical and physical database design, and the SQL language. Advanced topics include using functions, stored procedures and XML.
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by E. F. Codd - Addison-Wesley
Written by the originator of the relational model, the book covers the practical aspects of the design of relational databases. The author defines twelve rules that database management systems need to follow in order to be described as relational.
Data mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
by Anand Rajaraman, Jeffrey D. Ullman - Stanford University
At the highest level of description, this book is about data mining. However, it focuses on data mining of very large amounts of data. Because of the emphasis on size, many of our examples are about the Web or data derived from the Web.
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.