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Reading Time: 4 minutes Data Virtualization and Graph Databases A couple of years ago now, Forrester forecasted that by 2017 over 25 percent of enterprises would be using graph databases (Enterprise DBMS, Q1 2014. Forrester Research. 2-13-14) . It’s obviously not easy to measure…
Reading Time: 2 minutes I was recently plugged into a Hortonworks webinar, and was astounded to hear their opening statement that by 2020 there will be more than 40 zettabytes of data in the world. To put this in perspective 40 zettabytes is 40…
Reading Time: 3 minutes One of the ways that you can tell that a concept or technology is gaining currency is that many people start interpreting or associating with it in their own way, sometimes in very, very different ways. Data virtualization is a…
Reading Time: 3 minutes Data Virtualization platforms conform entire development and operation ecosystems in the organizations they are deployed for. They are not typical pieces of enterprise software, but key points of interconnection and cooperation among multiple systems, tools and teams. Data Virtualization depends…
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 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…
