Categorically, Big Data has 4 V’s defined by IBM that are Volume, Variety, Veracity and Velocity. Volume is the scale of data. It is predicted that by 2020 the amount of data that will be produced, will be approximately 40 zettabytes which will be 300 times of the data created in 2005. Variety is the data taking different forms. It may be social media, mobile devices, sensor technology etc. The Third V is Veracity which is the uncertainty of Big Data and still be accepted as a part of Big Data and further analysed and processed. The last V is Velocity which is analysing the streaming Data. It includes the fact that how fast can data be processed
Figure 1: 4V's of Big Data
Big Data is generated by a number of sources. Social media and networks is one of the biggest source of big data. There are approximately 1 billion active users on Facebook and approximately 70 thousand MB of data is generated every minute. Data might be in form of pictures, likes, Posts, Comments, Uploading of videos etc., thus creating semi structured and unstructured data. Mobile devices are also the major source of Big Data. These devices have come a long way from just being an instrument which is used to call or message. These devices have become super smart and can track the movement of a user or object thus being, source of Big Data. Sensor technology and networks are again the source of Big Data. The electronic devices of all kinds, which include temperature sensors, tablets etc. – All of them creating semi structured data.
There is a need to adopt new approaches to Big Data Analysis and Processing. The Big Data approaches that can transform the business analytics and data management markets. The new approaches include Hadoop, NoSQL databases such as Cassandra and Accumulo, and enormously parallel analytic databases from Greenplum, HP Vertica and Teradata Aster data.
Hadoop has become a platform for stupendous data analytics across various industries. All Internet giants are using Hadoop in order to process zeta bytes of data using Hadoop. Cloudera, Hortonworks, Pivotal etc. provides Hadoop Distributions in order to process large datasets. These distributions provided by these companies are easier to set and use. Some other companies like Amazon and Google are providing various services which allow users to run jobs on their managed facilities.
Big Data holds gargantuan future for both vendors and enterprises that facilitate them, but an action must be taken first. There are various Big Data and Hadoop tutorial available that give the detailed knowledge of components of Hadoop. Easylearning Guru provides Instructors-Led Online Classes for learning Hadoop Online. Trainers have expertise in their fields and are capable to communicate intricate problems and concepts clearly, justifiably and with the zest that will encourage you to learn.
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