Recently, “The Economists” emphasized on the fact that data has become the most valuable commodity held by people. When small chunks of data are combined on a large scale, then it’s termed as Big Data. While we are busy in securing Bi...
With the fast pace at which technology is evolving, we are heading into a complex network of data and also into a vague future. Meanwhile, the industries around the world are attempting to get a complete face-lift by adopting some of the re...
What Is Big Data? Capabilities of machines are limited. Amongst their performance limitations, is the size of data they can process. While machines nowadays are capable of handling large-sized data, the exponential increase in the size o...
BIG DATA, Data processing techniques, DATA Analytics, Data Storage Strategies You get to hear and read these terms quite often these days. You are probably in awe of these words but don’t quite know what they exactly mean. But, I am sure...
Digital identity. With numerous social media apps that are available online, we are now spoiled for choice. Initially there was Orkut, Myspace and Facebook that were tools we used to keep in touch with friends and family worldwide. Slowly a...
Big Data, with Machine Learning and Algorithm at its core, is currently at zenith due to high demand and great features. To attain Big Data analytics solution, several companies are demanding expertise in this field. The culture of Big Data...
One of my earlier blogs gave you a tour of the Programming languages for Data Science. I had mentioned, it was the end of tools of different functional architecture layers. But not the end of Big Data. Knowledge on Big Data is as voluminous...
A Big data analytics tool offers insights into data sets. The data is gathered from different big data clusters. The tool aids business to understand data trends, create patterns and its complications, and transform data into comprehensible...
In my last blog, we talked about Open Source Data Extraction Tools. The main objective of an "ETL tool" is to gather the content of various databases or operational systems across your organization and move/copy/transfer all this data into ...
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