How much do you know about Apache Spark and its capabilities for large-scale dat...

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Questions and Answers

What is Apache Spark?

  • A programming language
  • A database management system
  • A unified analytics engine for large-scale data processing (correct)
  • A web development framework

What is Apache Spark?

  • A unified analytics engine for large-scale data processing. (correct)
  • A distributed system for efficient processing of small datasets.
  • A high-level API for processing large-scale data
  • A unified analytics engine for small-scale data processing.

Which programming languages are supported by Spark?

  • Java, C++, Python, and Ruby
  • Ruby, Swift, JavaScript, and Go
  • Java, Scala, Python, and R (correct)
  • C#, VB)NET, Python, and Perl

What programming languages does Spark support?

<p>Java, Scala, Python, and R. (B)</p> Signup and view all the answers

What are some higher-level tools supported by Spark?

<p>Spark SQL, MLlib, GraphX, and Structured Streaming (D)</p> Signup and view all the answers

Which of the following higher-level tools are supported by Spark?

<p>Spark SQL, MLlib, GraphX, and Structured Streaming. (B)</p> Signup and view all the answers

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Study Notes

  • Large datasets require distributed systems for efficient processing.
  • Apache Spark is a unified analytics engine for large-scale data processing.
  • It provides high-level APIs in Java, Scala, Python, and R.
  • Spark supports general execution graphs and a rich set of functionalities and libraries.
  • Higher-level tools like Spark SQL, MLlib, GraphX, and Structured Streaming are supported.
  • This article focuses on learning Apache Spark (version 2.x) using Scala.
  • A dedicated spark compiler is required to run the code.
  • Data frames can be created in Spark using Scala.
  • The article includes a link to run the code for demonstration purposes.
  • Spark is a powerful tool for processing and analyzing large-scale data.

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