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Reading Time: 3 minutes I recently read an excellent article “A Strategist’s Guide to the Internet of Things” by Strategy & (formerly Booz & Company), which prompted me to think about what the Internet of Things for data strategists and data professionals. As we…
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…
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: 4 minutes Most 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: 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…
