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Reading Time: 2 minutes Hadoop makes it possible for any organization to analyze huge amounts of data, at low cost and on commodity hardware. This is a major improvement from the past, when data analysis involved expensive servers – and therefore big budgets. Now,…
Reading Time: 3 minutes Faster-than-the-hare Proliferation of Technologies Spawns Data Silos and Creates Headaches for IT and Business Alike. What’s the panacea? Technology innovation is great—it has helped drive down costs, reduced the size and complexity of gadgets, increased our productivity, and enhanced the…
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: 2 minutes Anytime you hear the word data or big data, a constant stream of green numbers comes to your mind as in the movie, The Matrix. But there is more to data than that. Data can be structured or unstructured. Multi-structured…
Reading Time: 2 minutes It’s funny – only a few weeks ago, I was at Informatica writing about Master Data Management (MDM) and how businesses gained a complete view of their customers by combining the single view of customers, sitting within the MDM system,…
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 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 The Oil & Gas industry has been drowning in Big Data for ages. From sensors monitoring wells to the huge amount of seismic data, the industry has access to approximately 20 petabytes of data. To put this into perspective, that’s…
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…
