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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