Taming Big Data with Spark Streaming and Scala – Hands On!

Learn how to process massive amounts of streaming data in real time on a cluster, using Spark Streaming! Includes a crash course in Scala, and lots of hands-on examples of connecting to various data sources such as Kafka, Flume, TCP ports, Cassandra, and more.

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Published by

Frank Kane

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.

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