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What You Will Learn
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Data Streaming
Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.
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Estimated 2 Months to complete
PREREQUISITE KNOWLEDGE
To be successful in this program, you should have intermediate Python and SQL skills, as well as experience with ETL.See detailed requirements.
Foundations of Data Streaming
Learn the fundamentals of stream processing, including how to work with the Apache Kafka ecosystem, data schemas, ApacheAvro, Kafka Connect and REST proxy, KSQL, and Faust Stream Processing.
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Streaming API Development and Documentation
Grow expertise in the components of streaming data systems, and learn how to build a real-time analytics application. Understand the dimensions of Spark streaming, ingest streaming data to Apache Spark Structured Streaming, and integrate Spark streams into Kafka.
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Data Engineer is one of the best jobs for 2019, with a base salary of $100k.
All Our Programs Include
Real-world projects from industry experts
With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
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Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
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You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program
Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
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