Big data helps IT experts deal with several sets of complex real-time data analytics. From healthcare to manufacturing, to retail to the entertainment industry, big data is everywhere. Thanks to the emergence of revolutionary artificial intelligence and innovative machine learning algorithms due to which an essential sub-field called Big Data can come into existence. Undoubtedly, efficient and accurate data management for enterprises is crucial to stay competitive in this tech-driven era.

Recently, big data has been on the tip of the tongue of almost everyone, paving the way from hype to mainstream. Hence, data evolution is unpredictable.ĭo you know that bad data can cost an organization up to 20% of its revenue? Astonishing isn’t it? But the question arises how to dodge it? How to process that vast amount of data? how to clean it? Analyze it? How to Form connections, patterns, trends, and correlations out of it? Here’s when big data technologies get developers’ and IT experts’ back.

The data centers of this era occupy an area of land equivalent to the size of almost 6000 football fields. Talking of Google, alone processes approximately 40,000 search queries every second, making it more than 3.5 billion in a single day. Nonetheless, in this modern age of technological innovations and computational advancements, we upload 200 thousand photos on Facebook, generate 278 thousand tweets on Twitter, 1.8 million Facebook likes, and send 204 million emails every second! Facebook users share 30 billion pieces of content among them each day. The number of data industries store and capture magnifies every 1.2 years. Being a part of this tech-oriented world, today we human beings create as much information in just 2 days as we did since the beginning of time till 2003. Data is evolving just like any other thing on this globe.

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