Hadoop
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→ Hadoop is an open-source framework build on Java programming and Linux operating system, the main purpose is storing,analysing and processing of Big Data. Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processingof big data using the MapReduce programming model.
→ Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
→ Apache Hadoop is an open source software framework used to develop data processing applications which are executed in a distributed computing environment. Applications built using HADOOP are run on large data sets distributed across clusters of commodity computers. Commodity computers are cheap and widely available. These are mainly useful for achieving greater computational power at low cost.
BENEFITS OF HADOOP
→ Hadoop is a distributed framework which supports concurrent tasks and fault tolerance i.e. there will be no loss in data in the system though few components of hardware are failed.
→ The data stores on commodity servers, which are easy to use and low-cost. These servers run as clusters and deliver the best performance.
→ The heart of the Hadoop, MapReduce architecture, is distributed data processing algorithm, used to generating and processing of big data.
→ Hadoop is highly scalable and distributed environment; unlike traditional databases it can process large data across inexpensive parallel servers.
→ Hadoop is cost-effective in storing large data and flexible in accessing new and different types of data sources
→ Hadoop is fast, the large volumes of data will be processed efficiently in the shortest time possible.
→ Hadoop is resilient and fault tolerance. There will be no data loss if the system is corrupted or failure,as another copy of the data being processed will be stored on the other nodes of the clusters.
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