Reading the streams of numbers is possible only in the movies. In the real world, the businesses have to use data visualization tools to get the trends and patterns out of the raw data.
We recently explored the Big Data visualization principles. Now it’s time to delve deep into Big Data visualization techniques and find out which one is appropriate for various use cases.
While AWS is undoubtedly the benchmark of cloud service quality, it has some drawbacks we described when comparing AWS vs MS Azure. Today we compare Amazon Web Services (AWS) with Google Cloud Platform (GCP).
Big Data visualization is undoubtedly the most essential part of Big Data analytics. Instead of drowning the user in unstructured data, visualization helps provide the actionable insights.
Blockchain technology is not a buzzword anymore. With Bitcoin steadily gaining popularity, companies worldwide seek to employ the technology to utilize blockchain in many other sectors.
A well-known US-based analytical company Clutch.co has published the latest rating of top IT outsourcing companies in Ukraine.
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!
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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