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data virtualization

Top 5 Data Management Trends for 2015
Analytics, Cloud

Top 5 Data Management Trends for 2015

Reading Time: 2 minutes The New Year brings a complex environment for enterprises. The rapid growth of big data presents enormous challenges for organizations. And the volume of data is expanding at an alarming rate with data production expected to be 44 times greater…

fraud
Others

Tackling fraud and waste with Data Virtualization

Reading Time: 2 minutes Tackling fraud and waste with Data Virtualization In many organizations, getting a complete view of their operations is a challenging task. Information is scattered across multiple locations and multiple systems – each providing a glimpse of operations but, usually, not…

caching
Data Science

Data caching modes – when and how to use them

Reading Time: 2 minutes 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…

ETL-Process
Analytics

Breathe new life into your ETL Processes

Reading Time: 2 minutes 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…

big-data-virtualization
Others

V is for Big Data Virtualization

Reading Time: 3 minutes 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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