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Thoughts on Oracle Database In-Memory Option

Last month Oracle announced Oracle In-Memory database option. The overall message is that once installed, you can turn this “option” on and Oracle will become an in-memory database.   I do not think it will be that simple. However, I believe Oracle is on the correct track with this capability.

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Thoughts on Oracle Database In-Memory OptionThere are two main messages with Oracle In-Memory’s vision which I view are critical capabilities in a modern data architecture. First, is the ability to store and process data based on the temperature of the data.
That is, hot, highly accessible data should be kept DRAM or as close to DRAM as possible.   As the temperature decreases, data can be stored on flash, and for cold, rarely accessed data, on disk (either in the Oracle DB or in Hadoop).   Of course we can store data of different temperatures today, however, the second feature, which is making this storage transparent to the application, makes the feature it very valuable. An application programmer, data scientist, or report developer, should not have to know where the data is stored.   It should be transparent. The Oracle DB or a DBA can optimize the storage of data based on cost /performance of storage without having to consider the compatibility with the application, cluster (RAC), or recoverability is quite powerful and useful.   Yes, Oracle has been moving this way for years, but now it has most, if not all, the pieces.

Despite the fact that the In-Memory option leverages a lot of existing core code, most of Oracle’s IT shops will need to remember that this is a version 1 product.   Plan accordingly. Understand the costs and architectural impacts. Implement the Oracle In-Memory option on a few targeted applications and then develop standards for its use. A well planned, standards-based approach, will assure that your company will maximize its return on your Oracle In-Memory investment.

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Bill Busch

Bill is a Director and Senior Data Strategist leading Perficient's Big Data Team. Over his 27 years of professional experience he has helped organizations transform their data management, analytics, and governance tools and practices. As a veteran in analytics, Big Data, data architecture and information governance, he advises executives and enterprise architects on the latest pragmatic information management strategies. He is keenly aware of how to advise and lead companies through developing data strategies, formulating actionable roadmaps, and delivering high-impact solutions. As one of Perficient’s prime thought leaders for Big Data, he provides the visionary direction for Perficient’s Big Data capability development and has led many of our clients largest Data and Cloud transformation programs. Bill is an active blogger and can be followed on Twitter @bigdata73.

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