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Basics of Hadoop

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Basics of Hadoop

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  1. Hadoop is an open-source framework that was created to make it easier to work with big data.  It provides a method to access data that is distributed among multiple clustered computers, process the data, and manage resources across the computing and network resources that are involved.

  2. Hadoop” commonly refers to the core technology that consists of the four main components, but is also frequently used in reference to the entire ecosystem of supporting technologies and applications.

  3. Hadoop also is often used interchangeably with “big data”, but it shouldn’t be.  Hadoop is a framework for working with big data. It is part of the big data ecosystem, which consists of much more than Hadoop itself.

  4. Hadoop is not a single technology or product.  Instead, Hadoop is made up of four core modules that are supported by a large ecosystem of supporting technologies and products. The modules are: Hadoop Distributed File System. Hadoop YARN. Hadoop MapReduce. Hadoop Common.

  5. It Provides access to application data. Hadoop can also work with other file systems, including FTP, Amazon S3 and Windows Azure Storage Blobs (WASB), among others.

  6. Hadoop YARN– Provides the framework to schedule jobs and manage resources across the cluster that holds the data

  7. Hadoop MapReduce – A YARN-based parallel processing system for large data sets. The “Map” in MapReduce refers to the Map Tasks function. Map Tasks is the process of formatting data into key- value pairs and assigning them to nodes for the “Reduce” function, which is executed byReduce Tasks, where data is reduced to tuples.

  8. Common, which is also known as Hadoop Core, is a set of utilities that support the other Hadoop components.  Common is intended to give the Hadoop framework ways to manage typical (common) hardware failures.

  9. Click here For more detail www.peridotsystems.in

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