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Reading Time: 2 minutesThe 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…
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: 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: 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…
