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Reading Time: 6 minutes Update: Interested in data virtualization performance? Check out our most recent post, “Physical vs Logical Data Warehouse Performance: The Numbers.” After my initial post about the topic, I have received several requests to provide more examples of how query…
Reading Time: 3 minutes Faster-than-enterprise-software Growth in Data Integration Market Coupled with Data Virtualization’s Rapid Adoption as an Alternative to Material Data Integration The 2015 Gartner Magic Quadrant for Data Integration tools was just released, shedding new light on data integration market growth and…
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 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 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: 3 minutes The last couple of years have seen successful Hadoop deployments in large companies as the established paradigm for Big Data scenarios. One of the most popular architectures in this new ecosystem is the so-called “data lake”. In short, the idea…
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 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: 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,…
