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    How To Identify The Right Workload For Database In-Memory


    Oracle Database In-Memory promises an incredible performance boost for analytic queries. But how do you determine if you have an analytic workload that will benefit from Database In-Memory? This presentation will review what Database In-Memory is and how it works, and then we will talk about what types of workload will benefit from Database In-Memory. We will also examine what aspects of a SQL query benefit from Database In-Memory and then compare some actual SQL statement executions to demonstrate where Database In-Memory provides benefit and how Database In-Memory provides that benefit.


    1. Learn what types of workload benefit from columnar based analytics.

    2. Learn how to identify what existing application workload can take advantage of Database In-Memory.

    3. Learn how other customers have used Database In-Memory's analytic performance with their applications.

    Who should watch:

    This session is targeted at DBAs, Application Architects, Developers and IT Managers who are looking for a way to significantly improve the performance of analytic processing. Individuals responsible for supporting and delivering analytic reporting and business intelligence applications to their organization will find this session useful.


    Andy Rivenes, Product Manager at Oracle for Database In-Memory

    Biography: Andy Rivenes is a Product Manager at Oracle for Database In-Memory. Prior to that Andy was a Product Manager for Heat Map, Automatic Data Optimization, SecureFiles and DBFS. Andy has spent a large part of his career managing Oracle databases and he now spends his time helping customers implement Database In-Memory as well as providing information about Database In-Memory through blogs, conferences, and customer visits. You can visit the Database In-Memory blog at or follow his tweets as @TheInMemoryGuy.


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