[ FreeCourseWeb.com ] Tuning Apache Spark Powerful Big Data Processing Recipes
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Created by Packt Publishing | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 03:37: H/M | Lec: 84 | 5.10 GB | Language: English | Sub: English [Auto-generated]
Uncover the lesser known secrets of powerful big data processing with Spark and Kafka
What you'll learn
How to attain a solid foundation in the most powerful and versatile technologies involved in data streaming: Apache Spark and Apache Kafka
Form a robust and clean architecture for a data streaming pipeline
Ways to implement the correct tools to bring your data streaming architecture to life
How to create robust processing pipelines by testing Apache Spark jobs
How to create highly concurrent Spark programs by leveraging immutability
How to solve repeated problems by leveraging the GraphX API
How to solve long-running computation problems by leveraging lazy evaluation in Spark
Tips to avoid memory leaks by understanding the internal memory management of Apache Spark
Troubleshoot real-time pipelines written in Spark Streaming
Requirements
To pick up this course, you don’t need to be an expert with Spark. Customers should be familiar with Java or Scala.
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