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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.

    Benefits:

    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.

    Speaker:

    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 https://blogs.oracle.com/in-memory or follow his tweets as @TheInMemoryGuy.

     

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