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Amazon Elastic MapReduce (EMR)

Amazon EMR:

► Amazon Elastic MapReduce (EMR) is an Amazon Web Services (AWS) tool for Big Data processing and analysis by using a cluster. Amazon EMR provides the expandable low-configuration service as an easier alternative to running in-house cluster computing.

Amazon EMR is a managed cluster platform that simplifies running big data frameworks, such as Apache and Apache Spark, on AWS to process and analyze vast amounts of data. By using these type of frameworks and related open-source projects, such as Apache Hive and Apache Pig, you can process the data for analytics purposes and business intelligence workloads regarding Big Data. Additionally, you can use Amazon EMR to transform and move large amounts of data means ‘Big Data’ into and out of other AWS data stores and databases, such as Amazon Simple Storage Service (Amazon S3) used for storage and retrieve the data and Amazon DynamoDB it’s is a fully managed NoSQL database service that works on key-value pair and other data structure documents provided by Amazon.

If you are not familiar with Amazon EMR, we recommend that you begin by reading the following, in addition to this section:

  • Amazon EMR: This service page provides the Amazon EMR highlights, product details, and pricing information.
  • Getting Started: Analyzing Big Data with Amazon EMR: These articles get you started using Amazon EMR quickly.

The post Amazon Elastic MapReduce (EMR) appeared first on Prwatech.



This post first appeared on Learn Big Data Hadoop In Bangalore, please read the originial post: here

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Amazon Elastic MapReduce (EMR)

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