Flink for Scalable Stream and Batch Data Processing

Course Code

flink

Duration

28 hours (usually 4 days including breaks)

Requirements

  • Experience with Java or Scala

Overview

Apache Flink is an open-source framework for scalable stream and batch data processing.

This instructor-led, live training introduces the principles and approaches behind distributed stream and batch data processing, and walks participants through the creation of a real-time, data streaming application.

By the end of this training, participants will be able to:

  • Set up an environment for developing data analysis applications
  • Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications
  • Manage diverse workloads
  • Perform advanced analytics using Flink ML
  • Set up a multi-node Flink cluster
  • Measure and optimize performance
  • Integrate Flink with different Big Data systems
  • Compare Flink capabilities with those of other big data processing frameworks

Audience

  • Developers
  • Architects
  • Data engineers
  • Analytics professionals
  • Technical managers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Course Outline

To request a customized course outline for this training, please contact us.

 

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £5000

Private Remote

From £4400 (94)

Public Classroom

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