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 Database Performance Tuning and OptimizationThe book provides comprehensive coverage of database performance tuning and optimization using Oracle 8i as the RDBMS. The chapters contain both theoretical discussions dealing with principles and methodology as well as actual SQL scripts to implement the methodology. The book combines theory with practice so as to make it useful for DBAs and... |  |  Oracle SQL: the Essential ReferenceSQL (Structured Query Language) is the heart of a relational database management system. It's the language used to query the database, to create new tables in the database, to update and delete database fields, and to set privileges in the database. Oracle SQL: The Essential Reference is for everyone who needs to access an Oracle... |  |  SQL In A Nutshell, 2nd EditionThis essential desktop reference drills down and documents every SQL command and how to use it in both commercial (Oracle, DB2, and Microsoft SQL Server) and open source implementations (PostgreSQL, and MySQL). It includes the command syntax (by vendor, if the syntax differs across implementations), a description, and practical examples. And... |
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 The Firebird Book: A Reference for Database DevelopersThe Firebird Book: A Guide for Database Developers is a comprehensive, practical guide for developing client/server FirebirdSQL database applications for small and large networks of users. FirebirdSQL is an open source database, and while not as popular as MySQL or PostgreSQL, it has a dedicated following, and has far more advanced features. ... |  |  SQL The Complete Reference, 3rd EditionGet comprehensive coverage of every aspect of SQL from three leading industry experts. Revised with coverage of the latest RDBMS software versions, this one-stop guide explains how to build, populate, and administer high-performance databases and develop robust SQL-based applications.
SQL: The Complete Reference, Third... |  |  Python Data Analysis
Key Features
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Find, manipulate, and analyze your data using the Python 3.5 libraries
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Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
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An easy-to-follow guide with realistic examples that are frequently used in real-world data
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