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Reading Time: 3 minutes In today’s world, the most important aspect of enhancing your consumer experience is understanding your customer—and the best way to understanding them is from their data. Master Data Management As consumers interact with your business, you capture data central to…
Reading Time: < 1 minute Big data infrastructures, supported by effective new data science tools and the IoT, are making it possible to understand the actions and proclivities of customers at a highly granular level. This is inspiring organizations to modernize their data architectures, with…
Reading Time: 3 minutes This blog was penned by guest blogger, Thibault Perier, Data Scientist from Astrakhan Innovation Management. A typical company manages many disparate data sources, representing volumes that are only growing larger over time (all whilst big data repositories expand in capacity…
Reading Time: 2 minutes We make decisions every day: What am I going to wear? What am I going to have for dinner? Do I want dessert? Most of the time, we base our final decisions by weighing external factors: Is it cold outside?…
Reading Time: 2 minutes Savvy organizations know that business growth and success are intrinsically linked with an effective strategy for managing data. But as the big data momentum builds, more questions are raised. In this post, I’ll answer five of the most important ones….
Reading Time: 2 minutes Forrester Research recently published The Forrester Wave™: Enterprise Data Virtualization, Q4 2017 report. The firm profiled 13 vendors in this report. The last Wave on this topic was published in March 2015 with 9 vendors. Here is an account of…
Reading Time: 3 minutes The strength of Hadoop and NoSQL systems in supporting big data systems is indisputable. These big data technologies are designed, built, and optimized specifically for large-scale and high-performance environments. Their support for massively parallel hardware architectures and cheap commodity hardware…
Reading Time: 2 minutes Data Scientists hold coveted positions in the analytics arena. We picture them spending most of their time gazing into the data and making predictions, and some of the time preparing the data for analysis. Unfortunately, the reverse seems to be…
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: 3 minutes What is OData? The Open Data Protocol (OData), currently in version 4, is an open data exchange protocol maintained by the OASIS Consortium as a standard. Originally proposed by Microsoft in 2009 (and maintained by them until version 3), it…
