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Thank you, sir, for sharing these set of 4 insightful articles. It has been observed in the past 2-3 years that a lot if useful information can be extracted from the data that is being generated in real time. In a country like India with a population of 1.3 Billion people, with more than 50% of its population below the age of 25 and more than 65% below the age of 35, we can only expect the number of internet users to grow at a higher rate every year. With a diverse population and varying needs and wants, the companies would need to develop customized products to become a market leader in such a market. The “Unicorn” companies generate data in size of terabytes everyday just by serving the Indian population and optimize their products on a daily basis by processing this big-data efficiently. Also, it can be seen in majority of the Indian startups pushing towards setting up a Big-data-Engineering division comprising of people from business, IT, and even from arts domain to make sense of the data generated by the company and its customers to identify the trends in consumer’s behavior with the companies’ products. A few years ago, only Hadoop and MapReduce framework were the major technologies that were used to process Big-data, and now we have a whole “big-data stack”, like Spark, PySpark, Pig, Hive, Sqoop Impala, etc. developed to process it according to our needs and more efficiently. Major players in banking industry like Citibank, American Express etc. use big-data technologies to process data and identify fraud in real time. By observing such trends in the usages of big data technology in just Indian context, we can surely conclude that Big-data is here to stay and it will grow at an accelerated rate in the years to come and even more at a global level.

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