Big data analytics | Hadoop

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Big Data analytics | Hadoop




Big data analytics helps businesses and organizations make better decisions by revealing information that would have otherwise been hidden. It largely involves collecting data from different sources , it in a way that  it becomes available to be consumed by analysts and finally deliver data products useful to the organization business.

Big data is a fast-growing field and skills in this area are in demand today.

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                                      Big Data, Data, Analysis, Information, Data Analysis

What is a Hadoop?

Apache hadoop is an open source framework that is used  to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. instead of using one large computer to store and process the data, hadoop allows clustering multiple computers to analyze massive dataset in parallel more quickly.

The apache hadoop software library is a framework that allows for the distributed processing of large data set across cluster of computer using simple programming models. It is made by apache software model foundation in 2011.written in java
             
Importance of Hadoop
  • Computing power - Hadoop's distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have.
  • Flexible - Hadoop enables businesses to easily access new data sources and tap into different types of data (both structured and unstructured) to generate value from that data. This means businesses can use hadoop to derive valuable businesses insights from data sources such as social media,email conversations or clickstram data.

Hadoop distributed file system
  • It ties so many small and reasonable priced machines together into a signal cost effective computer cluster.
  • Data and application processing are protected against hardware failure.
  • If a node goes down jobs are automatically redrected to other nodes to make sure the distributed computing does not fail.
HDFS is a key part of the many hadoop ecosystem technologies, as it provides a reliable means for managing pools of big data and supporting related bigdata analytics application.


                                                            


Who use Hadoop?

339 companies use Hadoop. Some companies are included in this picture.
                                            


Conclusion
 
The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends quickly and cost-effectively for the first time in the history. These capabilities are neither theoretical nor trivial. They represent a  genuine leap forward and a clear opportunity enormou gains in terms of efficiency, productivity,and revenue.

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Blog contributed by:Priya Agarwal


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