Data Science vs Data Analytics

February 25, 2019

As we further ourselves technologically, there are times when a new technology comes in and changes the whole picture. Big Data is visibly the trend for the 21st century as we continue to best ourselves in the amount of data we generate every year. For those working in the IT industry, the terms “Data Science” and “Data Analytics” appear both- lucrative and exciting. However similar they may sound, they explain mildly different disciplines. To clear the air, we have curated this Data Science Vs Data Analytics infographic for you so you no longer confuse the two.

Spotlight

Esgyn Corporation

Esgyn is empowering global IT organizations to deliver more value from Big Data. EsgynDB, the company's flagship product based on Apache Trafodion, is an enterprise-class MPP All-in-One database for Big Data. EsgynDB supports all types of workloads ranging from transactions, operational reporting, rapid ingestion, updates, and BI/Analytical queries. These workloads can be run all the at same time and on the same data, with minimal data movement.

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