In order to bring the best possible industry content to our growing family of readers, we here at insideBIGDATA rely on a wide variety of indicators and metrics to make sure our short-list of favored topics is highly relevant. Google Trends is one way for us to measure relevance.
In the past couple of years, we here at the insideBIGDATA brain trust have noticed a significant upward trend for all that is machine learning – technology, vendors, applications, tools, use cases, educational resources, and much more. Machine learning is a facilitator of both data science and big data. As a result, we’re excited to announce a new direction here at insideBIGDATA.
As a data science practitioner who uses machine learning as the basis of many client projects, I’m increasingly finding myself on the front line of the so-called “Killer AI” debate that keeps sprouting up around the web and mainstream press.
Data lakes are enterprise-wide data management platforms designed for storing and analyzing vast amounts of information from disparate data sources in their native format. The idea is to place data into a data lake in their native structure instead of a repository built for a specific purpose such as a data warehouse or data mart.
“And, to me, the point of this talk is that the world is changing. There is money going to be made by the bucketful, and it isn’t going to go to Larry Ellison and his gang. It’s going to go to smart people like you who know how to leverage open-source.”