In-Database Analytics Defined

In-database analytics is a model of analysis where the processing of data is performed within a database. By processing the data within a database, it allows for the elimination of the overhead of moving large data sets to analytic applications. In this model of analysis, the analytic logic is built into a database instead of in a separate application. 

In-database analytics allows for the analytic capabilities to be embedded in a relational or columnar database. 

Advantages of in-database analytics include:

•  Parallel Processing
•  Analytic Optimization
• Streamlining of  the identification of issues related to the exchange of data and information
• Providing ad-hoc analysis reporting

In Data Defined, we help make the complex world of data more accessible by explaining some of the most complex aspects of the field.

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