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 (D)</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 (C)</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 (C)</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 (B)</p> Signup and view all the answers

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

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

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

<p>Pig (C)</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 (B)</p> Signup and view all the answers

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

<p>Flume (D)</p> Signup and view all the answers

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