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Reading Time: 2 minutes I recently attended Business Technology Forum by Forrester Research in Florida. As the event title indicates business and technology cross-over more than ever, just as software-as-a-service (SaaS) applications have done for operations, and now self-service business intelligence (Self-Service BI) and…
Reading Time: 2 minutes At a recent NYC roundtable panel for Chief Data Officers, global Business Process Management (BPM) company, WNS, mentioned that they see common pain points across their customer spectrum. Namely, that big data and the IoT are creating an exponential growth…
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: 3 minutes One 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 minutes One 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 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 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 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: 2 minutes Data 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…
