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Reading Time: 3 minutes Data lakes have captured the imagination in the past few months. The idea of having all of your data stored in a ‘lake’ – available to all and sundry – is very appealing to both data architects and to the…
Reading Time: 3 minutes Update: Interested in data virtualization performance? Check out our most recent blog posts, “Performance of Data Virtualization in Logical Data Warehouse Scenarios” and “Physical vs Logical Data Warehouse Performance: The Numbers.” The topic I probably get asked most about…
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…
Reading Time: 2 minutes Big Data is not always Big Information Organizations don’t need big data, they need big information. Let me explain. Years ago, my professors taught me the critical difference between data and information. Data are raw unorganized facts that need to…
Reading Time: 2 minutes 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…
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,…
Reading Time: 3 minutes Real-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 minutes While 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: 5 minutes Disclaimer: The author felt compelled to share some ideas that emerged at a Buddhist Vegan restaurant in Palo Alto, CA after a conversation on big data and data virtualization with analysts from a top CIO membership organization. The author claims…
