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Reading Time: 3 minutesOne of the best parts of my job is helping customers realise their goals of turning a theoretical proposed enterprise architecture with all its promise into a reality by deploying an Enterprise Data Access Layer. It’s a tenuous link, but…
Reading Time: 2 minutesOne of the biggest headaches that big corporations face is how to provide a unified view of data across regions. Most of them have grown as a result of acquisitions of regional companies that in many cases operate independently and…
Reading Time: 3 minutesI 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 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 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: 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: 5 minutesDisclaimer: 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…
