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Tag: data grids

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real-Time

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The ability to continuously analyze operational data unlocks the potential for organizations to extract important patterns. Popular big data systems are not well suited for this challenge. However, in-memory data grid technology (IMDGs) offers important breakthroughs that enable real-time analysis of operational data. Benchmarks have demonstrated that an IMDG can complete map/reduce analyses every four seconds across a changing, terabyte data set. This article discusses how IMDGs deliver this new capability to analyze fast-changing, operational data. Read more…

How In-Memory Data Grids Can Analyze Fast-Changing Data in Real-Time

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Continuous analysis of fast-changing operational data unlocks the potential to extract important patterns. Big data systems such as Hadoop are not well suited for this challenge, however, in-memory data grids (IMDGs) offer breakthroughs that enable real-time analysis of fast-changing data. Recent measurements demonstrate that an IMDG can deliver a complete map/reduce analysis every four seconds across a terabyte data set which is being updated continuously.<br /> Read more…

Using In-Memory Data Grids for Global Data Integration

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By enabling extremely fast and scalable data access even under large and growing workloads, in-memory data grids (IMDGs) have proven their value in storing fast-changing application data, such as financial trading data, shopping data, and much more. As organizations work to efficiently access their critical business data across multiple sites or scale their processing into the cloud, the need rapidly has grown to quickly and seamlessly migrate data where it is needed. The use of IMDGs creates an exciting opportunity for organizations to employ powerful global strategies for data sharing. Federating IMDGs across multiple sites enables seamless, transparent access to data from any site and provides an ideal solution to the challenge of global data integration. Read more…

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