Stream Processing and Analysis with Apache Spark™

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.

Languages Available: English | 日本語 |한국어

Skill Level

Associate

Duration

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

Outline

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

Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	May 21	11 AM - 03 PM (Asia/Singapore)	-	English	$750.00
Jun 12	01 PM - 05 PM (Europe/London)	-	English	$750.00
Jun 16	08 AM - 12 PM (Asia/Kolkata)	-	English	$750.00
Jul 17	01 PM - 05 PM (Australia/Sydney)	-	English	$750.00
Jul 17	09 AM - 01 PM (America/New_York)	-	English	$750.00

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Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	May 21	11 AM - 03 PM (Asia/Singapore)	-	English	$750.00
Jun 12	01 PM - 05 PM (Europe/London)	-	English	$750.00
Jun 16	08 AM - 12 PM (Asia/Kolkata)	-	English	$750.00
Jul 17	01 PM - 05 PM (Australia/Sydney)	-	English	$750.00
Jul 17	09 AM - 01 PM (America/New_York)	-	English	$750.00

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