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Reading Time: 3 minutesThere 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 minutesChallenges to Enterprise-wide Adoption of Big Data Technologies Lack of comprehensive strategic planning is proving to be the greatest impediment to enterprise-wide adoption of big data technologies. While organizations are quick to invest in new technologies like Hadoop cluster and…
Reading Time: 2 minutesWe hear a lot about data ‘in the cloud’, and if you’re working in a regulated environment like biotech/pharma, the idea of your data floating around in the ether may have you a little freaked out. But, whether your data…
Reading Time: 5 minutesWe have been talking about the Internet of Things (IoT) for many years now. But just how many “things” are we talking about? Last year, Gartner estimated that 20 billion things will be connected by 2018. These “things” are connected…
Reading Time: 4 minutesData virtualization receives its deserved recognition, as the market has significantly matured over the past few years. For the first time, Gartner has published a data virtualization specific Market Guide1, which particularly focuses on why data virtualization should be considered…
Reading Time: 6 minutesWhen creating an enterprise data layer using data virtualization some of the questions that usually came up are, what are the options for metadata management and how to provide data governance now that everything is accessed from a new unified…
Reading Time: 5 minutesComplex Questions that Need Simple … but not Simplistic … Answers Update: make sure you also read the first part of this content. Data Virtualization Performance and Source System Impact (Part 1) In part 1 of this article, we looked…
Reading Time: 4 minutesFirst there was EII (Enterprise Information Integration) otherwise known as data federation. Data federation technologies allow one central data store (virtual or physical) to link to one or more remote data sources. The central store allows the consuming application to…
Reading Time: 4 minutesWhy 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: 5 minutesIf you check the reference logical architectures for big data analytics proposed by Forrester and Gartner, or ask your colleagues building big data analytics platforms for their companies (typically under the ‘enterprise data lake’ tag), they will all tell you…
