Big Data explication

in #bigdata7 years ago

Big data is one of the major trends of the 2000s. The treatment of these volumes of massive data represents a huge challenge, both intellectual and economic.


Big data or big data describes all of the digital data created by the utilization of new technologies for personal or professional purposes. This overlaps with corporate data (e-mails, documents, databases, business process histories ...) as well as data from sensors, content published online (images, videos, sounds, texts), e-commerce transactions, exchanges on social networks, data transmitted by connected objects (electronic tags, smart meters, smartphones ...), geolocated data, etc.

The phrase "Big Data" dates from 1997 according to the Association for Computing Machinery. In 2001, Meta Group (now Gartner) analyst Doug Laney described big data based on the "three V" principle:

  • the amount of data more and more massive
  • the variety of these data that can be raw, unstructured or semi-structured;
  • Velocity describes the fact these data are produced, collected and analyzed in real time.

Some companies put in a fourth "V" to the definition for Veracity, which describes the requirement to verify the credibility of the source and the caliber of the content in order to exploit the data.

Big data and data storage

The rise of big data has followed the evolution of storage and data processing systems with the advent of cloud computing and supercomputers. Now, we're speaking about petabytes and zettabytes to designate the volumes that big data represents. In accordance with forecasts by IDC, the amount of data produced worldwide will wait 40 zettabytes in 2020.

Marketing, science, commerce: the big data domains

The exploitation of big data has opened new perspectives in many fields: scientific research, politics, communication, medicine, meteorology, ecology, finance, commerce, etc. As a result of analytical tools and data modeling, researchers, companies, administrations can do trend or predictive analysis, draw profiles, anticipate risks and monitor phenomena in real time ...

For companies focusing on big data solutions, this can be a real eldorado and a long-term trend with a market estimated at tens of billions of dollars.

Sort:  

A very helpful and informative post

i just stated on steemit. please suggest me how to write best blog.
i have good knowledge on java JAXB REST API And Automation.
please guide me.
https://steemit.com/java/@marcsam/java-8-why-java-8-functional-programming

Please go though my java 8 Lamda Exxpression tutorial.

Calling @originalworks :)
img credz: pixabay.com
Nice, you got a 17.0% @minnowbooster upgoat, thanks to @brownworld
Want a boost? Minnowbooster's got your back!

The @OriginalWorks bot has determined this post by @brownworld to be original material and upvoted(1.5%) it!

ezgif.com-resize.gif

To call @OriginalWorks, simply reply to any post with @originalworks or !originalworks in your message!

Congratulations @brownworld, this post is the ninth most rewarded post (based on pending payouts) in the last 12 hours written by a User account holder (accounts that hold between 0.1 and 1.0 Mega Vests). The total number of posts by User account holders during this period was 2086 and the total pending payments to posts in this category was $1745.93. To see the full list of highest paid posts across all accounts categories, click here.

If you do not wish to receive these messages in future, please reply stop to this comment.

Congratulations @brownworld! You have received a personal award!

1 Year on Steemit
Click on the badge to view your Board of Honor.

Support SteemitBoard's project! Vote for its witness and get one more award!

Congratulations @brownworld! You received a personal award!

Happy Birthday! - You are on the Steem blockchain for 2 years!

You can view your badges on your Steem Board and compare to others on the Steem Ranking

Vote for @Steemitboard as a witness to get one more award and increased upvotes!