DevOps approach to software delivery and business operations is the most efficient one out there. However, as the time goes, new trends appear and gain traction.
Many DevOps engineers worldwide have already highly appraised the power and convenience that comes when managing Docker containers using Kubernetes. Now it’s even easier!
While cloud deployment is an inevitable choice for any company nowadays, choosing the right provider can be tricky, so it’s good to know what cloud service fits your needs best.
As any new technology, Big Data gains a lot of attention and gathers around itself quite a ton of myths. We will look through 5 most popular myths of Big Data today — and demystify them!
In the first part of our list of Big Data success stories, we described 4 real-life use cases of businesses across the globe adopting the Big Data to optimize their operations and gain more profit.
Enterprise businesses across the globe come to realize the necessity of using their vast data stores to gain yet another competitive edge over their less techy competition.
DevOps is like a Holy Grail of the modern software development. Many are actively searching for it, some claim they have found it and a vast majority is still waiting to begin their journey.
While to many businesses these components of Big Data operations seem interchangeable, if not fully the same, Big Data engineering actually differs quite a lot from data warehousing.
The financial industry has always been one of the most powerful influencers and consumers of technological innovation.
Managing Director of Intel Labs, Dr. Michael Mayberry introduced Loihi, the first-of-the-kind neuromorphic central processor chip on Tuesday, September 25th, 2017.
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