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Reading Time: 4 minutes What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
Reading Time: 4 minutes Recent studies have shown that data scientists and business users performing self-service data analysis (citizen analysts) spend 80% of their time trying to discover, access, and integrate data. In other articles, I discussed how data virtualization (DV) plays a key role in…
Reading Time: 3 minutes There is no discussion about the business value of a data lake for data scientists. Everyone understands that bringing all the data together in one place makes access to data easy and quick for data scientists. Studies have shown that…
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: 3 minutes As governments worldwide aim to become smarter like Dubai, Barcelona or Singapore, their ultimate goal is to become percipient, astute, shrewd, and quick. That means that smart city governments need to use emerging technologies like Big Data and Internet of…
Reading Time: 2 minutes If I asked someone about the first location that will come to their mind when I mention the word “technology,” anyone who has been around for the past ten years would say “Silicon Valley.” In fact, the valley is such…
