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Evolution of Big Data

By CIOReview | Tuesday, November 7, 2017

Since the intelligence revolutions and the achievement of behavioral modernity, humans have been creating information and as these data grew complex in nature we invented the method of writing. Now coming down the line, specifically to the 20th century and after the end of world war 2, humanity strived to recover from their gruesome past by creating better technology to help remove the architectural destructions, bring back the economic power, and the remove various epidemics trough better equipment. This point in history known as the Cognitive Revolution, scientists all over the world created data after data which was inaccessible in remote areas and humanly impossible to process.

After the introduction of the internet in the late 1980s, data become more accessible to remote areas and with the invention of cloud, structured data, as well as unstructured data, could be stored in any remote location for later access. These data are now processed by various automation, machine learning, and AI technology as well as data scientists to find the perfect marketing pattern that is applicable to the market trends and the preferences of the customers.

Customer loyalty retention and future market predictions are now at its pinnacle due to big data processing. Moreover, Business Intelligence (BI) has created an opportunity for technological and digital development of IoT devices. It has given market leaders an edge over its competitors by leveraging data. But there are cons to this advantageous technology mainly in the data cleaning processes. Since the amount of unstructured data created are through emails, social media posts, and blogging posts there are lots of repetitions, errors and more than often lacks coherency. Due to this, data scientist has to go through the extensively time-consuming process of cleaning the accumulated data manually and integrate it within the structured data.

Examining the pros and cons of Big Data it would be apt to conclude that the advantages outweigh the negative aspects and are the best weapon for businesses to achieve success and higher return on investment.

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IoT

Machine Learning

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