Interpreting Big Data: Data Science vs Data Analytics

Interpreting Big Data: Data Science vs Data Analytics

Data Science and Data Analytics are quite diverse but are related to the processing of Big data. The difference lies in the way they manipulate data.

As data has gained its due worth in the modern world, a new discipline has emerged called Data Science. Before science experiments and discoveries were performed in the fields of physics, chemistry, and then technology. Now, data is also being examined and engineered in the field called Data Science.

Data science essentially finds new ways and searches for new algorithms to interpret data. It also helps to find and establish relationships between data elements. Data science works with a large data set that usually encompasses multiple data servers and performs different techniques and algorithms to find patterns and trends in the data set. This big data helps to provide enough information to establish the interpretations and confirm the patterns of relation deduced from the data.

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