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Mixing In-Memory Analytics Tools and Big Data Together For Major Benefits
By 2015 it is estimated that in-memory analytics will be used by 35% of large and midsize organizations.
This technology offers faster response times while reducing the need for data indexing and storing pre-aggregated data in OLAP cubes or aggregate tables which saves on IT costs and provides faster implementation of analytic applications.
Access this expert eGuide for a detailed look at in-memory with two expert articles that cover how the advances are pushing analytics boundaries and taking on big data.