Chapter 1. Apache Spark Overview

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What is Apache Spark?

An email client

A unified computing engine for parallel data processing (correct)

A database management system

An operating system

Which programming languages are supported by Apache Spark?

C++ and Ruby

Python, Java, Scala, and R (correct)

Perl and Swift

Java and PHP

Why is Spark considered a standard tool for developers and data scientists interested in big data?

For its active development and broad library support (correct)

Because it focuses on small-scale data processing

Because it only runs on laptops

Due to its limited language support

What type of tasks do the libraries in Apache Spark cover?

Streaming and machine learning among others Signup and view all the answers

Where can Apache Spark run according to the text?

Anywhere from a laptop to a cluster of thousands of servers Signup and view all the answers

What makes Apache Spark a standard tool for developers and data scientists interested in big data?

Its ability to process data in parallel on computer clusters. Signup and view all the answers

Which of the following is NOT a programming language supported by Apache Spark?

Rust Signup and view all the answers

What does Apache Spark's ability to scale-up to big data processing refer to?

Its capability to handle large-scale data processing efficiently. Signup and view all the answers

Which of the following tasks is NOT covered by the libraries in Apache Spark?

Front-end web development Signup and view all the answers

What type of computing engine is Apache Spark?

Parallel computing engine Signup and view all the answers

Apache Spark is a unified computing engine and a set of libraries for parallel data processing on computer clusters. As of this writing, Spark is the most actively developed open source engine for this task, making it a standard tool for any developer or data scientist interested in ______.

big data Signup and view all the answers

Spark supports multiple widely used programming languages (Python, Java, Scala, and R), includes libraries for diverse tasks ranging from SQL to streaming and machine learning, and runs anywhere from a laptop to a cluster of thousands of ______.

servers Signup and view all the answers

This makes it an easy system to start with and scale-up to ______ processing or incredibly large scale.

big data Signup and view all the answers

Figure 1-1 illustrates all the components and libraries Spark offers to ______-users.

end Signup and view all the answers

Structured Streaming, Advanced Analytics, Libraries, and Ecosystem are some of the components and libraries that Spark offers to ______-users.

end Signup and view all the answers

Chapter 1. Apache Spark Overview

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