Despite big data currently ranking among top business intelligence and data analytics trends, businesses continue to suffer from a lack of data-savvy talent. Research from BARC shows half of respondents reporting a lack of analytical or technical know-how for big data analytics. This is good news for tech beginners, however,

Imagine you’re a quarterback and you’ve just stepped off the field. Your team has lost. You could look at it as a failure and call it a day – or you could look at it as an opportunity to improve. How? Embedded in your jersey are sensors that have tracked

2017 was the year when blockchain technology burst into the public consciousness. Even beyond the truly startling rise of cryptocurrencies, we became aware of how a range of markets could be transformed by applications built on the technology. But as with any emerging technology that suddenly gains fame and begins

Data. Where would we be without it? We all know that it’s in the very DNA of our everyday life, from business to social experiences, from the smartphones in our hands to the cars we drive. Data is a driving force both directly and indirectly in our society – a fact that

Big data is everywhere: in the cloud, in different locations, and in different online applications. Organizations need a single way of unifying, accessing, and controlling these distributed resources for the best possible operational efficiency. The problem with big data is that its sources are often very dissimilar. An Enterprise Data

Image: SAP Cloud Platform Hadoop is a Java-based, open source framework that supports companies in the storage and processing of massive data sets. Currently, many firms still struggle with interpreting Hadoop’s software and are doubtful about whether or not they can depend on it for delivering projects. Even so, it’s

Our ever-increasing dependence on the Internet to do business, entertain ourselves, communicate with others and shop for supplies has increased our amount of data exponentially. The vast amount of data needed to complete all of our activities requires a growing number of centers to safely store this information. Today, there

In today’s digital landscape, customers expect you to deliver products and services in a fast and efficient manner. Heavyweights like Amazon and Google have set a bar in terms of operations, and they’ve set it high. An increasing need for more streamlined and efficient processes, combined with advancing technologies has

With its unlimited size, an Enterprise Knowledge Graph contains all of an organization’s data — structured, unstructured, internal or external — presented as trillions of interlinked facts made available in any combination, on-demand to approved users.  The Enterprise Knowledge Graph enables organizations to take advantage of in-memory computing at cloud-scale

I recently read an article (paywall) in the WSJ about Paul Allen’s Vulcan initiative to curb illegal fishing. It’s insightful and sheds light on Big Data techniques to address societal problems. After thinking on the story, it struck me that it could be used as a pedagogical tool to synthesize data science