Five Characteristics Of Big Data

Abstract :latest techno world is growing very fast and becoming complex due to rapid growth of internet data, the data which are in the high volume , different variety as structured and un-structured and hybrid and velocity as in nature. This refers to as ‘Big Data’ or a “buckets of data “. These big data leads many challenges for appliance that how to store, manage and analyze data. Previously, the traditional relational database are use to store and manage big data through standard SQL language but now huge growth in the Internet market generate uncountable data every second so overcome the problem of storing and managing that big data the new kind of technology is developed which is known as NoSQL. Now a daysNoSQL is a very popular

Fig 1 : Five characteristics of big data(2015).

5 characteristics of big data is shown in Figure.[3]

The characteristics of the big data are Data Velocity, Data Volume and Data Variety. Big Data is not the only about the size of data but also use data variety and data velocity. Hashem introduced the 5’s characteristics of big data. (Hashem et.al, 2015; Elragal, 2014; Fadiya et.al.,2014; Yang et.al., 2014; López et.al., 2015).

These characteristics are :

Volume: It is the most important characteristic of big data. It represents the size of the big data set.

Variety: Various data come to the companies from numerous resources (internal or external). These data entries from separate resources cause variance in data set. External data are hardly ever structural.

Velocity: The production rate of big data is notably high. The heavy increase in data means that the data should be analyzed more swiftly. The faster the data increases, the faster the need for the data increases; therefore the process shows increase as

In big data problem are data management, store and analyzing data, data retrieval etc. here we focus on one of them issue of big data is how to storage and analyzing big data. The increasingly growing data cause a problem of how to store and manage such huge heterogeneous datasets with moderate requirements on hardware and software infrastructure.

So Nowadays, big data related to the service of Internet companies grow rapidly. For example, Google processes data of hundreds of Petabyte (PB),Facebook generates log data of over 10 PB per month.[1] Big data generates from many appliance like industry, education, social network, organization etc. now these data are collected and managed through data management tool RDBMS.With daily updating social networking sites like facebook and twitter, they demand of new technology which can handle huge amounts of data is NoSQL which is quite helpful in data warehousing. Now, NoSQL (non-relational) and also (not only SQL)is comparatively faster than relational databases (RDBMS). In SQL, we were using Query language to fetch as well as to store data and for NoSQL we store large data entities using documents in XML formats. XML language is basically used to store structured data in a human readable