Hadoop and its Ecosystem Overview
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Questions and Answers

What is the main purpose of Hadoop?

  • To make big data interaction more difficult
  • To allow for distributed processing of large datasets (correct)
  • To store data on a single machine
  • To limit the use of simple programming models

    • Which characteristic of Hadoop makes it resistant to hardware failure?

  • Reliable data storage (correct)
  • Scalable horizontally
  • Economical systems
  • Use of simple programming models

    • How does Hadoop achieve cost-effectiveness in terms of data processing?

  • By utilizing complex programming models
  • By relying on a single machine for processing
  • By scaling horizontally and vertically with ordinary computers (correct)
  • By using specialized high-cost computers

    • What inspired the creation of Hadoop?

    <p>A technical document published by Google</p> Signup and view all the answers

    How does the scalability of Hadoop differ from traditional systems?

    <p>Hadoop can scale both horizontally and vertically easily with a few extra nodes</p> Signup and view all the answers

    What is the main purpose of the Ingest stage in Big Data processing?

    <p>Ingest or transfer data into Hadoop from various sources</p> Signup and view all the answers

    Which tool is used for transferring data from relational databases to HDFS in Big Data processing?

    <p>Sqoop</p> Signup and view all the answers

    What is the primary function of MapReduce in Big Data processing?

    <p>Data processing</p> Signup and view all the answers

    Which framework is used for data analysis and conversion using map and reduce programming?

    <p>Pig</p> Signup and view all the answers

    What is the main purpose of the Access stage in Big Data processing?

    <p>Allow users to access the analyzed data</p> Signup and view all the answers

    Which tool performs the transfer of event data in Big Data processing?

    <p>Flume</p> Signup and view all the answers

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