Apache Spark 3 – Real-time Stream Processing using Scala
Learn to create Real-time Stream Processing applications using Apache Spark
What you’ll learn
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Real-time Stream Processing Concepts
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Spark Structured Streaming APIs and Architecture
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Working with File Streams
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Working With Kafka Source and Integrating Spark with Kafka
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State-less and State-full Streaming Transformations
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Windowing Aggregates using Spark Stream
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Watermarking and State Cleanup
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Streaming Joins and Aggregation
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Handling Memory Problems with Streaming Joins
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Creating Arbitrary Streaming Sinks
Requirements
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Spark Fundamentals and exposure to Spark Dataframe APIs
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Kafka Fundamentals and working knowledge of Apache Kafka
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Programming Knowledge Using Scala Programming Language
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A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM
Who this course is for:
- Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark
- Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark
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