Introduction of Big Data With Analytics of Big Data

Introduction

The new word came into the existence “Big Data” is due to the fact that we are creating a huge amount of data every day. The Birth of Big Data can be traced back to 1998 in a silicon graphics slide deck by John Mashey with the title “Big Data and the next Wave of infra Stress.” Before analysing challenges and other aspects of big data, let us examine where big data comes from? The big Data comes from us .Its future is at the mercy and whims of our fingertips. Big Data is generated when formerly no digitized processes become digitized.

That is our life is getting digitized; we now use online banking, online shopping .e-learning, emails, and instead of the traditional methods. Big data comes relatively new types of data sources that previously were not mined for. Big data is also turned as devices become more integrated into our everyday lives. Everyone has a mobile phones, camera, laptop, takes pictures and makes videos and then uploads them to social networks, which keeps on adding to the huge bulk of data .we generate lots of big data as we willingly share information with the world through social media in the form of tweets, comments likes and many more. (Bifet, 2013)

The key enables for the growth of big data can be summarised as follows:

• 1.

  Increase in storage capacities

• 2.

  Increase in processing power

• 3.

  Availability of data

Two important trends in the era of Big Data are as follows:

• 1.

  The digitization of virtually “everything “.

• 2.

  Advanced analytics technologies and techniques that enable organization to extract insights from data with high levels of sophistication, speed, and accuracy.

Big Data generated usually share some or all the following features:

• 1.

  Digitally generated –IT will be a digital data

• 2.

  Passively produced –It may be a by product of our interaction with digital services in our day to day life

• 3.

  Automatically collected –There may be some system that collects and stores relevant data generated.

• 4.

  Geographically or temporally trackball- Mobile phone location data or call duration time.

• 5.

  Continuously analysed – Information can be analysed in real time for human well-being.

• 6.

  Doug Laney was the first person who highlighted the three dimensions of big data the three V”S

Big Data “The Three V’S”

• 1.

  Volume: Nowadays data is expanding rapidly to fill up the available space for storage .we are very familiar at the rate at which we copy videos and songs from one mobile to other mobile. Every minute, 72 h of videos are uploaded on you tube. So the data in increasing at a rate of pet byte datasets these days and Exabyte is not farway.

• 2.

  Variety: From excel tables and databases, data structure has changed to lose its structure and hundreds of formats such as pure text, photo audio, video, web, GPS data sensor data, relational database s, documents, SMS, pdf, and flash are added to the data set .No one no longer has control over the input data format. No structure can be imposed like in the past to keep control over analysis .As new applications are introduced, new data formats come up.

• 3.

  Velocity: In earlier days, companies used to batch process the data when the data were of the same kind .this is now becoming impossible because with the new sources of data such as social and mobile applications, batch processing breaks down .The data is now streamed into the server in real time in a continuous fashion, and the result is only useful if the delay is very short (Ward, 2013).