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Reading Time: 2 minutes Would you agree that the data demanded by business users outpaces the data supplied by IT from the enterprise systems to the degree that the users are trying to make sense of yesterday’s data, today? Forrester Research analysts Noel Yuhanna…
Reading Time: 2 minutes Some might think that data warehouses are outdated and unnecessary, because today you can store large volumes of data quickly and easily in a data lake or a data reservoir. I think this is a bit short-sighted. How can you…
Reading Time: 5 minutes In my previous posts, we reviewed some of the main optimization techniques used by Denodo in Logical Data Warehouse and Logical Data Lake scenarios (see here and here). We also provided real numbers showing that a logical architecture can achieve…
Reading Time: 5 minutes While companies focus on obtaining a holistic view of their data to make insight-driven decisions, chief data officers struggle with the uncontrollable growth of hundreds of data silos and different information systems that prevent them from delivering true business value….
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 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: 2 minutes Big Data Warehouses require Hybrid Data Storage There’s no stopping the big data revolution. The potential business advantages are clear. Big data systems make advanced forms of analytics possible that allows organizations to optimize business processes, increase customer delight and…
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,…
Reading Time: 2 minutes Data virtualization is being used in everything from small projects that are in need of quick data access, as part of bigger application or data warehousing project, as an enterprise-wide semantic or common data layer or any combination thereof. The…
