[ DevCourseWeb ] Udemy - Apache Spark 3 - Real-time Stream Processing using Scala

[ DevCourseWeb.com ] Apache Spark 3 - Real-time Stream Processing using Scala

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Duration: 4h 17m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 1.66 GB
Genre: eLearning | Language: English
Learn to create Real-time Stream Processing applications using Apache Spark
What you'll learn
Real-time Stream Processing Concepts
Spark Structured Streaming APIs and Architecture
Working with File Streams
Working With Kafka Source and Integrating Spark with Kafka
State-less and State-full Streaming Transformations
Windowing Aggregates using Spark Stream
Watermarking and State Cleanup
Streaming Joins and Aggregation
Handling Memory Problems with Streaming Joins
Creating Arbitrary Streaming Sinks

Requirements
Spark Fundamentals and exposure to Spark Dataframe APIs
Kafka Fundamentals and working knowledge of Apache Kafka
Programming Knowledge Using Scala Programming Language
A Recent 64-bit Windows/Mac/Linux Machine with 8 GB RAM

Description
About the Course

I am creating Apache Spark 3 - Real-time Stream Processing using the Scala course to help you understand the Real-time Stream processing using Apache Spark and apply that knowledge to build real-time stream processing solutions. This course is example-driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way.

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