Apache Spark Technologies Quiz

Apache Spark is a cluster computing platform designed to be fast and general purpose. It extends the popular MapReduce model to efficiently support more types of computations, including interactive queries and stream processing. One of the main features Spark offers for speed is the ability to run computations in memory, but the system is also more efficient than MapReduce for complex applications running on disk.

Spark is designed to cover a wide range of workloads including batch applications, iterative algorithms, interactive queries, and streaming.

Speed is important in processing large datasets as it means the difference between exploring data interactively and waiting minutes or hours.

<p>Spark makes it easy and inexpensive to combine different processing types, which is often necessary in production data analysis pipelines.</p> Signup and view all the answers

<p>The slides in the lecture are from 'Learning Spark: Lightning-Fast Big Data Analysis' by Karau, Holden, et al., the Apache Spark website, and 'Spark: The Definitive Guide: Big Data Processing Made Simple' by Chambers, Bill, and Matei Zaharia.</p> Signup and view all the answers

<p>Ability to run computations in memory</p> Signup and view all the answers

<p>Interactive queries and stream processing</p> Signup and view all the answers

<p>To make it easy and inexpensive to combine different processing types</p> Signup and view all the answers

<p>Apache Spark</p> Signup and view all the answers

<p>Ability to run computations in memory</p> Signup and view all the answers