Vendors

Learn the essentials of stream processing and analysis with Apache Spark in this course. Gain a solid understanding of stream processing fundamentals and develop applications using the Spark Structured Streaming API. Explore advanced techniques such as stream aggregation and window analysis to process real-time data efficiently. This course equips you with the skills to create scalable and fault-tolerant streaming applications for dynamic data environments.

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What You'll Learn

  • Stream Processing and Analysis with Apache Spark

Who Should Attend

  • N/A

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Prerequisites

  • Basic programming knowledge
  • Familiarity with Python
  • Basic understanding of SQL queries (SELECT, JOIN, GROUP BY)
  • Familiarity with data processing concepts
  • Developing Application with Spark or Prior Databricks Experience is required

Learning Journey

Coming Soon...

Stream Processing and Analysis with Apache Spark

  • Introduction to Stream Processing
  • Spark Structured Streaming
  • Demo: Introduction to Spark Structured Streaming
  • Lab: Introduction to Spark Structured Streaming
  • Advanced Stream Processing and Analysis
  • Demo: Window Aggregation in Spark Structured Streaming
  • Lab: Window Aggregation in Spark Structured Streaming

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Frequently Asked Questions (FAQs)

None

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Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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