Big Data

BIG DATA HADOOP FOR DATA ANALYTICS COURSE

Hadoop is a whole subject in data analytics. Those who are interested in learning Hadoop can take Data analytics certification.

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INTRODUCTION 

In recent years, the use of social media platforms has increased at a very fast rate. Because of this, the amount of data generated has also increased. It has been said that in the year 2003 the amount of the data which was generated by people was five billion gigabytes. In the year 2011, the same amount of data had been generated every two days. In the year 2013, the same amount of data had been generated every ten minutes. This rate of generation of the data is increasing at such a fast speed.

WHAT IS BIG DATA? 

Big data is a collection of large sets of raw data. As said above, the amount of data of the people is increasing at a very fast rate, thus it comes in the category of the big data. The traditional methods which were used for the management of the data cannot manage such a huge amount of the data. For this, new environments, frameworks, techniques, and technologies are introduced in the market. Following are some types of data which come under the category of the big data–>

  • Black box 
  • Social media 
  • Stock exchange 
  • Power grid 
  • Transport 
  • Search engine 

WHAT IS HADOOP? 

Companies and organizations use the databases for storing and management of the data. There are different types of databases available in the market. For example–> Oracle, DB2, and MYSQL, etc. But with time, it became hard to store and process such a huge amount of the data. This was the traditional method for the management of the data. To solve this issue, Google presented a solution known as the MapReduce method. In this method, the task which is given to the system by the user is divided into subtasks. These subtasks are assigned to different computers and then the outputs or results are collected from them. The results are integrated then.

With the help of the MapReduce solution, a new project was introduced in the market known as Hadoop. Hadoop is an open-source project. The Hadoop environment works on the MapReduce algorithm. It is a tool that is used for the management and storing big data effectively. The Hadoop tool is written in the Java programming language. One thing which should be kept in mind if you want to use the Hadoop tool is that the Hadoop tool supports the Linux operating system. You need to install the Linux operating system for using Hadoop. The second thing which you need to do is to install Java on your machine to avail facilities and features of the Hadoop. Java should exist on your machine.

ADVANTAGES OF HADOOP 

Here are some advantages of the Hadoop–> 

  • The Hadoop tool is very cost-effective. 
  • The Hadoop tool can store big data and can execute the tasks simultaneously. 
  • The Hadoop tool is very flexible in use. 
  • The Hadoop tool processes the data very fast. 

CONCLUSION 

Hadoop is a whole subject in data analytics. Those who are interested in learning Hadoop can take Data analytics certification.

 

 

Address: 360DigiTMG – data analytics, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral 50470 Kuala Lumpur, Malaysia

phone no: 011-3799 1378

BIG DATA HADOOP FOR DATA ANALYTICS COURSE

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