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Reading Time: 2 minutesTackling 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…
Reading Time: 2 minutesData 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…
Reading Time: 2 minutesBreathe 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…
Reading Time: 2 minutesBig 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…
Reading Time: 3 minutesYou’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,…
Reading Time: 3 minutesReal-world big data use cases have moved beyond “possibilities” to multiple use patterns including analytics and low-cost archival storage of large datasets. In all cases, big data is thought of in an ENTERPRISE sense, even if big data analytics that is performed…
Reading Time: 2 minutesWhile Big Data Analytics has become all the rage over the past few years, another technology also has entered the mainstream: Data Virtualization. Data Virtualization is the process of abstracting different data sources through a single data access layer which…
Reading Time: 4 minutesMost companies have inadvertently locked away the value of their enterprise data assets, because they can rarely harness the right information at the right time. When they finally do access information, it is often inaccurate, incomplete or unavailable. This is…
Reading Time: 2 minutesData 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…
Reading Time: 2 minutesData 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…
