caching

Data caching modes – when and how to use them

Data caching modes – when and how to use them. Intelligent data caching is a key capability of an enterprise-class Data Virtualization platform and, working in tandem with real-time query optimization and scheduled batch operations, is one of the key…

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ETL-Process

Breathe new life into your ETL Processes

Breathe new life into your ETL Processes In many organizations, data integration still means using ETL processes to perform the traditional heavy-lifting of data replication and consolidation. While ETL is a tried and tested method for consolidating structured data into…

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Big Data Warehouses require Hybrid Data Storage

Big Data Warehouses require Hybrid Data Storage There’s no stopping the big data revolution. The potential business advantages are clear. Big data systems make advanced forms of analytics possible that allows organizations to optimize business processes, increase customer delight and…

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big-data-virtualization

V is for Big Data Virtualization

You’ve undoubtedly heard the (tired) definition of big data involving the three “Vs” for volume, variety, and velocity. Now there’s a growing movement to associate a fourth V-word with big data sets: virtualization. But what is data virtualization? For years,…

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Data Virtualization benefits – immediate ROI

Data virtualization benefits impact on both the business and IT. It delivers value in a relatively short period and keeps paying back over time. From a business perspective, getting integrated information faster has resulted in numerous benefits including better customer…

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Data Virtualization main Use Cases

Data virtualization is being used in everything from small projects that are in need of quick data access, as part of bigger application or data warehousing project, as an enterprise-wide semantic or common data layer or any combination thereof. The…

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