BIG DATA ANALYTICS

BIG DATA ANALYTICS USING R

Big Data is the hottest trends in the rapidly growing digital world.As with the large amount of digital data is available , it becomes very difficult to handle it.Big Data has been defined in many different ways,here it is defined with wide variety of data that is growing exponentially  day by day.

Big data is the collection of  enormous data from different resources. Big Data is very difficult to interpret to analyse and visualize  therefore we require  tools  that can easily analyses the different data set and extract various information from that data sets.Following tools like R and tableau are the tools which analyze the big data and  also it generates the output in visualization technique i.e., more understandable and presentable manner . 

For example,

According to the survey conducted by National Security Agency, the Internet is processing 1,826 Petabytes of data per day.In 2011,digital information has grown nine times in volume in just five years and by the end of  2020 and it will reach to 36 trillion gigabytes.

This blowout of digital data will bring various opportunities for various sectors such as enterprises, healthcare industry manufacturing, and educational services .

The large and rapidly growing  information hidden in the unprecedented volumes of non-traditional data requires both the development of advanced technologies and integrative teams working together. Today, machine learning  techniques, together with advances in available computational

power, have come to play a vital role in Big Data analytics and knowledge discovery for wide variety of data.

Nowadays the data has  been generated everyday from gmail, Facebook, twitter and from various industries in huge amount and to handle this data is very difficult. These data can be of any form audio video simple text etc.  So to handle these kind of data various data languages and data visualization tools are there to analyze the data.

Big Data Analytics tool

As various data sets are produced , business managers are always  ready to get data visualization software through which  they  analyze the data visually and take the decisions very fast for effective business strategies. Currently, the mostly used tools for visualizations, data discovery are R and tableau. 

Tableau is the popular tool for business intelligence  which is used for data visualization which can be effectively used for development of business .It is very easy to used and easy to deploy for the customer.Tableu is very easy to connect to various data sources like Excel,Data Warehouses.

Tableau has five main products  for professionals or  for organizations purposes. They are: 

• Tableau desktop: It is for  individual use .

• Tableau server: It is used for collaboration for any organization 

• Tableau online: It is business intelligence in case of cloud 

• Tableau reader:It is  used for reading files ie csvfiles saved in the desktop of tableau .

 • Tableau public: It is used for publishing  data online in an efficient manner. 

 R is a  language like a programming language hence it is a better tool. R is a programming language and software environment for statistical computing and graphics .

Data Languages used for Big Data Analytics-

1. R 
2. Python
3. Scala
4. Java 

Data Visualization used for Big Data Analytics-

1. Tableau
2. Datawrapper -It is an open source tool  to create  the simple, correct and embedded charts in few minutes.
3. Platfora -Platfora converts the  big data in Hadoop into interactive data processing engine.