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Spark Structured Streaming

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May 1, 2024 3 minute read

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Spark Structured Streaming, a key component of the Apache Spark framework, enables the processing of continuous, unbounded data streams in real-time. It unifies batch and streaming data processing, providing a powerful tool for building real-time data ingestion and processing pipelines.

Why Learn Spark Structured Streaming?

Learning Spark Structured Streaming offers numerous benefits:

Path to Spark Structured Streaming

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We've curated one courses to help you on your path to Spark Structured Streaming. Use these to develop your skills, build background knowledge, and put what you learn to practice.

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Data Engineering using Databricks on AWS and Azure

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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Spark Structured Streaming.

Learning Spark

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Provides an in-depth look at the architecture and implementation of Spark Structured Streaming. It is suitable for advanced users who want to understand how Spark Structured Streaming works under the hood.

Learning Spark: Lightning-Fast Big Data Analysis

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Machine Learning with Spark

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Beginner-friendly introduction to Spark Structured Streaming. It covers the basics of Spark Structured Streaming, as well as practical examples of how to use it to solve real-world problems.

Machine Learning with Spark - Second Edition:...

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Machine Learning with Spark - Second Edition

Kindle Edition

Spark: The Definitive Guide

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Provides a comprehensive overview of Apache Spark. It covers topics such as data ingestion, transformations, and query processing. While it does not specifically focus on Structured Streaming, it provides a solid foundation for understanding how Structured Streaming works.

Spark: The Definitive Guide: Big Data Processing...

Paperback

Spark: The Definitive Guide: Big Data Processing...

Kindle Edition

Learning Spark

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Provides a comprehensive overview of streaming data processing with Spark, including both Structured Streaming and DataFrames. It is suitable for beginners and experienced users alike.

Learning Spark: Lightning-Fast Data Analytics

Paperback

Learning Spark: Lightning-Fast Data Analytics

Kindle Edition

Relevant careers

Data Engineer

Machine Learning Engineer

Software Engineer

Cloud Architect

Data Scientist

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