Big data and analytics are changing the way businesses are run. But there is a lot of noise surrounding both as to where to start and what the end goal should be. I see a lot of opportunity for big data analytics to flourish in the utility industry, while helping to make the systems more…
Big Data on AWS
By Sunil Penumala - August 29, 2017
AWS offers the broadest set of production-hardened services for almost any analytic use-case. They enable customers to easily run analytical workloads (Batch, Real-time, Machine Learning) in a scalable fashion minimizing maintenance and administrative overhead while assuring security and low costs. AWS services cover all elements of a typical analytic workflow from data ingestion, storage, ETL, data warehousing,…
2016: A Year in Review
With 2016 winding down, we at DataFactZ have taken a step back to reflect on all that was accomplished this year. It has been a year of growth and expansion for us, and we hope that you will celebrate all the things we’re looking forward to in 2017 with us! We have New Technology Partners...
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A Call to Innovation & Agility
By Alina Petrovici - March 29, 2016
During a recent press conference, a teared eye CEO of a major multinational communications and information technology company stated “we didn’t do anything wrong, but somehow, we lost”, as a result of a 150 year old company being acquired for not keeping up proactively with the world’s ever changing landscape of market’s demands. This case…
Big Data & Business Analytics Symposium
By Sheshanka Joopalli - March 23, 2016
The Big Data & Business Analytics Group at Wayne State University hosts its 3rd Annual Symposium to bring together expert practitioners from industry to exchange practical ideas and insights and also share these with budding Big Data professionals. DataFactZ is returning as a Diamond Sponsor for this event. Please use below link for more details. http://engineering.wayne.edu/big-data-analytics/symposium/
Why not Harness the Power of NoSQL?
By Krishna Kallakuri - February 1, 2016
The relational database model began to emerge in the 1970’s and quickly gained traction because of its capabilities to store and manipulate data during that time. RDBMS is still the predominant technology for storing structured data in web or any other business applications. Everything is going great and now all of sudden we have need…
No Big Data = No Advanced Analytics?
By Krishna Kallakuri - November 6, 2015
Unfortunately, we hear the above statement too often. The hype around Big Data has created a misconception that advanced analytics is not possible with Small Data, which everyone has been collecting for years. Big is a relative term. With more and more focus on the size of data, many people are headed in the…