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Reading Time: 4 minutes Why 80% of data lakes fail and what you can do about it. The issues and implications of Brexit are all over the news … regionalism vs globalism, independence vs shared governance and regulation, closed vs open borders … and…
Reading Time: 2 minutes Medical research is highly data-driven, and projects are made and broken by the quantity and quality of data available. Biostorage Technologies, a company that stores and manages biological samples for the top biopharmaceutical companies and academic research institutions, knew that…
Reading Time: 4 minutes Use Cases for Data Virtualization in the Cloud As more and more enterprise data moves to the cloud, it has become necessary for data integration initiatives to think past the earth-bound data center, where all enterprise data has been living…
Reading Time: 2 minutes Some might think that data warehouses are outdated and unnecessary, because today you can store large volumes of data quickly and easily in a data lake or a data reservoir.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: 2 minutes Can you set your enterprise data free and make it dance to your tunes? Tunes that range from self-service BI to predictive analytics? Yes you can, with the help of the logical data warehouse powered by data virtualization. What is…
Reading Time: 2 minutes I was excited to learn that Autodesk, a Denodo customer, was recognized as the winner of the prestigious 2015 Ventana Research Leadership Awards for Big Data, within the larger category of Technology Innovation. Each year, the Ventana Research Awards honor…
Reading Time: 3 minutes Logical data warehouses, driven by data virtualization, are the force of the future. Yet while many BI specialists have embraced the logical data warehouse in theory, they struggle with the actual practical application of data virtualization. Some seem to feel…
Reading Time: 4 minutes After my previous posts about the performance of data virtualization in Logical Data Warehouse and Logical Data Lake scenarios, I have received similar feedback from many of you, “ that is all very interesting… but we want numbers!” Well, you…
Reading Time: 3 minutes The amount of data we have at our disposal is growing immensely. More and more systems are creating an increasing amount of data in an increasing number of places. This seems like an opportunity for more information and for improved…
