Starting at USD 798.00
8 weeks duration

Learn how to stream data to unlock key insights in real-time.

In the Foundations of Data Streaming course on Udacity, you will learn the fundamentals of stream processing. The course covers various topics such as working with the Apache Kafka ecosystem, data schemas, Apache Avro, Kafka Connect and REST proxy, KSQL, and Faust Stream Processing. The main objective of the course is to enhance your expertise in streaming data systems and enable you to build a real-time analytics application. Throughout the course, you will learn how to identify components of Spark Streaming, build continuous applications with Structured Streaming, consume and process data from Apache Kafka using Spark Structured Streaming, create aggregated DataFrames, sink DataFrames to Kafka, and visually inspect data sinks for accuracy. Additionally, you will also explore how to evaluate human balance using Spark Streaming.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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