Posted April 23, 2012 by RhoBeta in Analytics

Why we need Big Data

Big Data2
Big Data2

Big data is a new avenue in Information Technology where data sets can grow so large that they become awkward to work with using traditional database management tools. Thus, the need for new and more tools, frameworks, hardware, software and services to handle this emerging issue represent a huge market opportunity. According to IBM, everyday business and consumer life creates 2.5 quintillion bytes of data per day—so much that 90 percent of the data in the world today has been created in the last two years alone. This data comes from everywhere: from sensors used to gather climate information, posts to social media sites, digital pictures and videos posted online, transaction records of online purchases, and from cell phone GPS signals, to name a few.

Defining Big Data

“Big Data” is the term used to describe how advancing trends in technology will change how information is delivered to businesses.  A lot more data now exists in fact, industry pundits note that 90% of the data that exists today was created in the last two years. And with the sheer volume of social media and mobile data streaming in daily, businesses expect to use big data to aggregate all of this data, extract information from it, and identify value to clients and consumers. One feature of big data is its ability to manage data that was too large to handle only a few years ago.  The “3 Vs” illustrate why we are truly in a big data revolution:

The Volume of information.  The sheer amount of data is massive.

The Variety of data.  More than just structured data, big data includes unstructured data like text from social media, audio, video, GPS locator data, etc.

The Velocity of data.  The speed at which data can be accessed and analyzed is exploding.

The 3V shows us the need of the Big Data in Todays Scenerio, and alsom the limitations of the generald database analytical tools…The time of Big Data is Now…


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