How Hadoop helps Organizations to Process Big Data
Introduction to Hadoop •
Product by Apache and is an open-source Java based framework
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Processes voluminous data commonly termed as Big Data
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Used to organize the Structured and Unstructured Data
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Linux and Windows are the preferred Operating Systems
Importance of Hadoop in Organizations
Innumerable organizations opt to use Hadoop due to its • Outstanding Data Management excellence • Minimal system failure errors
Benefits of Hadoop to Process Big Data Stores and processes Voluminous Data
Faster Computing
Protection from Hardware Failure
Flexibility
Low Cost
Widely used among Industries
Storing and Processing Voluminous Data •
Hadoop has the capability to store and process the large amount of data irrespective of its type
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It can store especially the data, especially increasing on the social media platform and IoT (Internet of Things)
Faster Computing •
Hadoop works on the distributed computing model that processes the data faster
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It uses the nodes that computes the data power and aids in easy management of data
Lesser Risk of Hardware Failure •
Hadoop processes the data through nodes and brings down the worries of Organizations to loose the important data
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The tasks are shifted to other node, if one of the nodes stops working
Flexibility
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A pre-processing of data was needed in earlier times before saving it, which is changed due to introduction of Hadoop
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Now, any amount of data can be saved and used later like images, videos or text
Low Cost •
Hadoop is an open-source software and free to use
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Stores huge amount of data on hardware which is affordable
Widely used among Industries •
Usage of Hadoop has widened its scope in various industries
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Industries include Media, Healthcare, Information Services, and Finance
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