hadoop - allows the processing of large data sets

in #steemhunt6 years ago

hadoop

allows the processing of large data sets


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Hunter's comment

Many people still wonder what the Apache Hadoop is. It has to do with big data, Hortonworks are involved but what does it really consist of? Apache Hadoop is an open source framework that allows distributed storage and processing of large data sets based on commercial hardware. In other words, Hadoop makes it possible for organizations to quickly obtain knowledge from massive amounts of data, structured and unstructured, positioning them at the level of current market demands in terms of dynamism and capacity.

The Hadoop ecosystem has solutions of all kinds to cover any need that may arise in the business in terms of:

Data management.

Access to data

Governance and data integration.

Security of the information.

Operations.

Download here the guide "What Hadoop means in the world of Big Data" and solve all Big Data challenges.
It is precisely these functionalities that best define what Apache Hadoop is, although, to really know the possibilities of this tool and the secret of its versatility, it is necessary to understand the origin of the benefits it brings; those that drive many corporations to opt for this alternative for their big data projects. All the advantages of Hadoop are based on some of its main qualities:

Scalability: this tool allows you to store and distribute immense data sets in your hundreds of servers that operate in parallel, allowing you to forget the limits that other alternatives impose.

Speed: guarantees a processing efficiency that nobody can match, how else can terabytes of information be processed in a few minutes?

Effectiveness in costs: the storage of data becomes a reality for companies since the necessary investment goes from being tens of thousands of Euros per terabyte to being reduced to hundreds of Euros per terabyte.

Flexibility: new data sources? No problem, new types of data? Of course ... Apache Hadoop adapts to the needs of the business and accompanies it in its expansion, providing real solutions for any initiative that may arise.

Resistance to failure: its tolerance to errors is one of its attributes better valued by users since all the information contained in each node has its replication in other nodes of the cluster. In the event of a failure there will always be a copy ready to be used.


Link

http://hadoop.apache.org/


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Hunter: @stefidifelice



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