Reading Time: 4 minutes Many companies today are embarking on data governance initiatives to avoid drowning in big data. As explained here, data governance tries to establish an upfront agreement regarding: What the company needs to track How those things should be named What…
Reading Time: 3 minutes One constant trend of society is its continuous evolution into more intricate systems, with processes, markets, products and consumer needs becoming more and more complex over time. A common strategy for organizations to handle this increasing complexity has been specialization:…
Reading Time: 3 minutes It’s a common business challenge: the business users require information quickly to inform important decisions, but the team they rely on for this need, primarily the IT team, cannot provide the information fast enough. Perhaps more than a challenge, it’s…
Reading Time: 3 minutes The European Union’s General Data Protection Regulation (GDPR) will come into effect on May 25th, 2018, and all businesses that serve European Union customers will be required to comply. Companies that fall short of compliance with GDPR will be subject…
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: 2 minutes It was 1970 when Simon and Garfunkel released their recording ‘Keep the Customer Satisfied’ on the record-breaking album Bridge Over Troubled Water. The idea of customer satisfaction in those days was met through a smile and the prompt service from…
Reading Time: < 1 minute The success and survival of business is becoming increasingly tied to the way in which companies understand and harness the data that they have access to. In Bernard Marr’s article “What is Data Virtualization and Why Does It Matter?” he…
Reading Time: 4 minutes Just like any other software project, a data virtualization project is likely to face challenges related to changes of control. A key tool to address this challenge is by implementing a Version Control System (VCS). The key functionalities of a Version…
Reading Time: 2 minutes The big-data-world, it seems, is jumping on the data-virtualization-bandwagon. According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.”1 This solidifies data virtualization as…
Reading Time: 3 minutes Intelligent caching is a key capability of an enterprise class data virtualization platform. Caching serves many purposes: one of the common uses is to enhance performance when dealing with sources with varying latencies, an increasingly common situation with data virtualization…
