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Evolution of Big Data
Experts say that with the help of modern technology, you can solve any problem that poses a business. One of
the first industries in which they successfully began to use Big Data analytics was retail. Today, these tools are
used almost everywhere. We can use big data tools to predict where in the city the most likely accident will
occur, depending from the weather and time of day.
In telecom, the effect of big data is that, having a large array of completely diverse information, but with a clear
interpretation, the basis of big data, you can build quality control systems and analyze subscriber experience, so
it’s possible to identify problems. The quality of travel policy also directly depends on the information
processing methods adopted by the company.
The financial industry is changing rapidly, only last year most of the industry's enterprises completely
abandoned physical documentation and continue to translate daily processes into digital format, including
procedures that were previously not possible without the participation of people. The need to be 100% online
has increased the requirements for capacity, the amount of data sent and the availability of network
infrastructure.
Yes, earlier it was also possible to collect data and receive information with delay about how the network
worked, but now you can do it online .They are forced to work with incomplete data, while raw information can
be anything. There are many interesting aspects to look at. Working with text, sound, video is something that
technology did not get to before.
Often, these rules become factors in retaining employees or attracting new personnel. Interesting right! Wanted
to explore more details from the industry experts of big data hadoop training in Bangalore, then get the clear
evolution & history of this technology from these big data hadoop training in Bangalore providers.
Evolution of big data

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Evolution of big data

  • 2. Experts say that with the help of modern technology, you can solve any problem that poses a business. One of the first industries in which they successfully began to use Big Data analytics was retail. Today, these tools are used almost everywhere. We can use big data tools to predict where in the city the most likely accident will occur, depending from the weather and time of day. In telecom, the effect of big data is that, having a large array of completely diverse information, but with a clear interpretation, the basis of big data, you can build quality control systems and analyze subscriber experience, so it’s possible to identify problems. The quality of travel policy also directly depends on the information processing methods adopted by the company.
  • 3. The financial industry is changing rapidly, only last year most of the industry's enterprises completely abandoned physical documentation and continue to translate daily processes into digital format, including procedures that were previously not possible without the participation of people. The need to be 100% online has increased the requirements for capacity, the amount of data sent and the availability of network infrastructure.
  • 4. Yes, earlier it was also possible to collect data and receive information with delay about how the network worked, but now you can do it online .They are forced to work with incomplete data, while raw information can be anything. There are many interesting aspects to look at. Working with text, sound, video is something that technology did not get to before.
  • 5. Often, these rules become factors in retaining employees or attracting new personnel. Interesting right! Wanted to explore more details from the industry experts of big data hadoop training in Bangalore, then get the clear evolution & history of this technology from these big data hadoop training in Bangalore providers.