The data lake based on Apache Spark clusters and object storage is truly the best option now. Take a deep dive into why that has happened and the history behind it, and why Apache Spark and object storage are truly the best choice for you.
GDPR is fast approaching – May 25, 2018. And the implications for big data are, well, big. Essentially, GDPR is a regulation intended to strengthen and unify data protection for all individuals within the European Union, and it applies regardless of where the company is located.
Data lakes can hold your structured and unstructured data, internal and external data, and enable teams across the business to discover new insights. Here, we walk you through 7 best practices so you can make the most of your lake.
Data is now the world's most valuable resource. Ajay Banga, CEO of Mastercard, said, "I believe that the prosperity that oil brought in the last 50 years, data will bring in the next 50, 100 years if you use it the right way."
Big data technology changes rapidly, new projects usurp old ones—and that’s what makes it so exciting. Today, we’re going to talk about the trends that drive the big data and cloud convergence, and what’s significant about it.
Within machine learning, there are several techniques you can use to analyze your data. Today I’m going to walk you through some common ones so you have a good foundation for understanding what’s going on in that much-hyped machine learning world.
We’re going to take you behind the scenes and give you a layman’s view of machine learning so you can see what kind of problems they can solve. But this article is designed for technical people who hear the buzzword, who know that it's something important, but don't really know what it is or what it can do.