SQL

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Data Science With Microsoft SQL Server 2016

Description :  R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Much more than a database server, it’s a rich ecostructure with advanced analytic capabilities

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SQL Server Transaction Log Management

Description :  It covers performing transaction log backup and restore, monitoring and managing log growth, including quick diagnosis of the causes of rapid growth, and optimizing log architecture to maximize log throughput and availability.

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Developing Time-Oriented Database Applications in SQL

Description : It offers incisive advice on recording temporal data using SQL data types, defining appropriate integrity constraints, updating temporal tables, and querying temporal tables with interactive and embedded SQL. Also it provides case studies detailing real-world problems and solutions in areas such as event data, state-based data, partitioned data, and audit logs.

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