“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...”.
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.
Rapid advancements in information technology, and the proliferation of data has created many opportunities in system performance measurement of multi-tiered architectures.
The IT-business value proposition seeks to apply technological innovations to business processes to meet the current and future demands of customers and the market. What do companies need to know before using "Big Data" and Social Computing as an IT business strategy?
In this third and final blog on IT Strategies, I look at some examples and techniques of using data analytics in Information Technology Management. In previous postings, I wrote "information technology is the interaction between people, information and technology". When planning IT investments, it’s important that business value be the main driver for delivering solutions.
In an extension to my first blog, I research quantitative analysis of enterprise IT functions to demonstrate how to create IT business value. It has to be established that, with so much data being collected from IT systems, IT managers can use this type of pervasive data to their advantage. Functionality such as maintaining health, securing systems, and properly sizing new systems all have an impact to IT budgets.