“The goal is to have databases in the Cloud run autonomously. The Cloud should be about scale, elasticity, statelessness and ease of operation and interoperability. Cloud infrastructures are about moving processes into microservices and the agile deployment of business services. Deep Learning has the potential to give databases innovative and powerful level autonomy in a multitenant environment, allowing DBAs the freedom to offer expertise in system architecture and design…”.
“Big Data” is everywhere. It powers business solutions as well as drives economic opportunity. Is it possible that “Big Data” will become the next major utility? Autonomous vehicles (AV) and Machine Learning (ML) may fill the gap that makes Big Data a distributed utility where you pay for how much data you use and the times you use it. Read More
DataSciCon.Tech is a data science conference held in Atlanta, Georgia Wednesday November 29th to Friday, December 1st and includes both workshops and conference lectures. It took place at the Global Learning Center on the campus of Georgia Tech. This was the first year of this conference, and I attended to get a sense of the data science scene in Atlanta. Overall, the experience was very enlightening and introduced me to the dynamic and intensive work being conducted in the area of data science. This is a very high-level overview of what I learned. Read More