You're reading from Modern Data Architectures with Python

Product typeBook

Published inSep 2023

Reading LevelExpert

PublisherPackt

ISBN-139781801070492

Edition1st Edition

Languages

Python

Concepts

Data Science

Author (1)

Brian Lipp

Spark architecture

The Apache Spark architecture is complex, to say the least, and requires in-depth knowledge. However, you only need some background knowledge to be reasonably productive with Spark. So, first, let’s go through the basics of Apache Spark.

Introduction to Apache Spark

Spark is a popular parallel data processing framework built from the lessons learned after the Apache Hadoop project. Spark is written in Scala, a JVM language, but supports other languages, including Python, R, and Java, to name a few. Spark can be used as the central processing component in any data platform, but others may be a better fit for your problem. The key thing to understand is that Spark is separated from your storage layer, which allows you to connect Spark to any storage technology you need. Similar tools include Flink, AWS Glue, and Snowflake (Snowflake uses a decoupled storage and compute layer pattern behind the scenes).

Key components

Spark is a cluster-based in-memory...

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Modern Data Architectures with Python

Published in: Sep 2023Publisher: PacktISBN-13: 9781801070492

Author (1)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

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You're reading from Modern Data Architectures with Python

Spark architecture

Introduction to Apache Spark

Key components

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Author (1)

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