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Introduction to Apache Flink

Course Summary

The Introduction to Apache Flink training course will cover the internals and architecture of Flink and learning how to write applications using the core Application Programming Interfaces (API's). You will learn about the DataSet, Streaming and Table API's.

Prerequisites:

  • Experience with Java and/or Scala is required
Purpose
Learn about scalable batch and stream data processing using Apache Flink.
Audience
Developers who will be writing applications using Flink
Role
Software Developer
Skill Level
Intermediate
Style
Lecture | Hands-on Activities | Labs
Duration
4 Days
Related Technologies
Apache

 

Learning Objectives
  • Demonstrate an operational knowledge of Flink
  • Apply Scala APIs to perform interactive as well as job based tasks
  • Distinguish how Flink compares with other big data processing frameworks

What You'll Learn:

In the Introduction to Apache Flink training course, you'll learn:

Overview

  • Architecture
  • Internals

DataSet API

  • Iteration
  • Delta Operations

DataStream API

  • Exactly once processing
  • Continuous streaming
  • Micro batch
  • Fault Tolerance

Table API

  • The Flink Table DSL
  • Flink SQL like syntax

Overview of Machine Learning in Flink

Integrating Flink with other Big Data projects

  • Hadoop
  • YARN
  • Kafka
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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