Data is big, and getting bigger all the time! Huge amounts of data are flowing into organizations of all sizes and from a variety of verticals, and this data could potentially be a great source of valuable insights to guide organizations in taking strategic decisions regarding their future course of action.This is what lies at the root of the demand for the data science industry. It works to convert data into knowledge, to turn information into actionable insights, and to aid organizations in making data-driven decisions. Companies are constantly expanding their collection and usage of data, and they require people who can parse through it to derive insights through applying artificial intelligence (AI), machine learning (ML), and other technologies.It is no surprise that a career as a data science professional is one of the top choices for those looking for a path to take up. What they stand to gain is great knowledge about the newest tools and techniques, high salaries, and rapid growth. Plus, there is undeniably the prestige of the ‘data scientist’ tag on the job profile.Here are the top five data science frameworks used in this field:Apache KafkaOriginally developed by LinkedIn ...
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