Big data Analytics as a thesis topic

Data is what we use every day and every time with the use of technology, data is growing. A normal internet user uses their mobile phone on an average 110 minute in a day.  In 2017 there were 3.9 billion internet users in the world, and the internet users are increasing with time. With the use of advanced technologies, Consumption of data is getting high. Advance technologies like IOT and Machine learning need a high amount of data to perform such work. Data consumption is much more than you think of. It’s not only used in mobile or desktop. In systems like artificial intelligence, data is used in a high amount. Data is also used and stored by big agencies like Apple, Facebook, and even the government is also used data of a user to provide better online experience. With digital India initiative, Data of a person is stored to facilitate a good online experience to the user.

What is the difference between Basic analytics and big data analytics?

Basic data analytic refer to a small amount of data, which is stored or used in the small organization. Whereas big data analytics refers to data, which is collected in a high amount from good resources or is used to provide better online experience. Big data analytics also used to see different search value or data to see the pattern. Notwithstanding that, the speed of revealing knowledge is praiseworthy. The capacity to work quicker gives us a focused edge we didn't have previously.

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Illustration of Opportunities in Big Data

Since this is obviously a zone with monstrous vocation development potential, it's insightful to know the nuts and bolts. A postulation theme for huge information examination is much progressively ground-breaking. Moreover, in case you're great at measurements, speculation testing, and bunching, choice trees - this is an incredible vocation choice. It's a $203 billion major examination advertises. That is promising.

Future alternatives may transform you into an information researcher, Hadoop client, Spark Developer, Python client, for measurable methodology, or use Apache for constant informing. There are twelve increasingly specialized terms. This is a SaaS world.

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