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Reading Time: 3 minutes All over the world, data is stored in a myriad of different systems and formats, and accessed from a range of applications that gets wider every day. This growth not only means an increase in the number of possibilities and…
Reading Time: 4 minutes I’ve had several conversations with BI practitioners recently around the need to provision data agilely in order to support Self-Service Business Intelligence initiatives. Many have been confused as to the roles that some of the great data blending tools out…
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: 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 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: 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…
