“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...”.
I've been working with data for decades, searching for insights, converting it, managing it, and now performing data analytics. We have access to unbelievable treasure troves of public data to analyze. Many of the blogs I write are based on... Continue Reading →
Like many DBAs, I have experienced the ups and downs of database performance tuning. Many battles have been fought to tune and maintain an Oracle database yielding mostly victories, but also a few hard-fought lessons learned. Performance tuning is a constant... Continue Reading →
Campaign management is a strategy to use marketing campaigns to create sales and leads. The Internet has been a treasure trove of consumer behavior for decades, it is only recently that web analytics has become a tool to create powerful... Continue Reading →
The Tom Tom Machine Learning conference is part of the Tom Tom Founders Festival conference held in Charlottesville, VA. The festival features a collection of creators, practitioners, artist, musicians and community and business leaders to bring solutions and innovative ideas... Continue Reading →
The following is from a posting from a Data Science Intern for Lenovo. A good example of what to expect with a typical Data Science position. The Data Scientist Intern will be expected to perform data mining, statistical learning, predictive... Continue Reading →
Excerpt of submission to the Southern Data Science Conference that will be held in Atlanta GA. This proposal is a first in a series of proposals in IoT and Analytics research that will posted on Data Flux. For more info... Continue Reading →
"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.
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.