Apache Spark Technologies Quiz

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Questions and Answers

Explain the purpose of Apache Spark and its main features.

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.

What types of workloads is Spark designed to cover?

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

Why is speed important in processing large datasets according to the text?

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

What does Spark make easy and inexpensive in production data analysis pipelines?

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

From which sources are the slides in the lecture derived?

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. Signup and view all the answers