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Oracle DB in Memory with Examples
Analytical queries typically scan large amounts of data using aggregations to find patterns or trends in the data. In a traditional row-based database this can be slow because each row must be examined to access the columns in a query. Columnar formatted data avoids this problem because just the columns in the query need to be accessed and columnar formatted data also tends to compress well and work well with vectorized processing like Single Instruction Multiple Data (SIMD) operations. Oracle introduced Database In-Memory in Oracle Database 12c with a new in-memory columnar data format in addition to the traditional row format. Database In-Memory is compatible with all existing applications and can enable a 10x or better increase in analytic query performance. This session will use examples to demonstrate and then explain how this dual format enables both superfast analytics and online transaction processing. Presented by Andy Rivenes, Database Product Management

Dec 15, 2020 12:00 PM in Eastern Time (US and Canada)

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