Apache Flink Course Overview

Apache Flink is an open-source platform for distributed streaming and batch data processing. The Apache Flink course provides an in-depth overview of this powerful data processing platform. It covers the fundamentals, such as Flink's architecture, data sources and sinks, functions, stream and batch processing, operations, and basic APIs for working with Flink. In addition, the course explores deeper concepts, such as windowing, fault tolerance, distributed execution, and deployments to clusters. Participants also gain experience with Flink features such as managing state, joining and aggregating data, writing Flink UDFs, and integrating Flink with other applications. The goal of the course is to provide a comprehensive introduction to Apache Flink and equip participants with the skills necessary to use Flink to develop data-processing applications.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.


The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 16 Hours) 950 + If you accept merging of other students. Per Participant & excluding VAT/GST
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

A basic understanding of Java or Scala is required to take up an Apache Flink Training. Knowledge of Apache Hadoop, Spark and related technologies is beneficial. Knowledge of distributed programming and machine learning is an additional advantage.

Target Audience

The primary target audience for Apache Flink training is experienced software developers, particularly those with an interest in big data and distributed computing
Some knowledge of Java or Scala programming may be beneficial, though it is not essential
Those familiar with Hadoop and other related big data frameworks can find the flexible system modelling and fault-tolerant streaming capabilities of Apache Flink to help take their distributed processing knowledge and skills to the next level
This training is also ideal for data scientists and analytics professionals looking to leverage large-scale and real-time data analytics
With its comprehensive suite of data processing APIs and abstraction layers, Apache Flink provides for powerful applications, suitable for those leveraging data science tools such as Apache Spark and Hadoop
In particular, this training can help those interested in real-time insights and streaming analytics gain a competitive edge over those relying on their own Hadoop-based data pipelines

Learning Objectives of Apache Flink

Apache Flink Training focuses on a wide spectrum of topics that enable developers to understand and utilize the power of Apache Flink.
1. Learn about the fundamentals of Apache Flink and its components such as Flink Pipelines, Data Streams and Data Sets.
2. Understand the architecture of Apache Flink and its different modules like Local Application Cluster and Distributed Application Cluster.
3. Understand the programming languages utilized by Apache Flink such as Java, Scala, and Python.
4. Become proficient in Flink operations such as Transformations, Actions, Broadcast Variables, and Shuffles.
5. Develop analytical applications using Flink’s RTL and CEP engines.
6. Learn how to monitor and debug Apache Flink applications.
7. Gain an insight into Flink Performance Optimization.
8. Understand the distributed system concepts to develop resilient and fault-tolerant applications.
9. Learn integration with other frameworks such as Hadoop and Spark.
10. Develop applications using Flink connectors to Apache Kafka, Amazon Kinesis, and Elasticsearch.


Yes, you can pay from the course page and flexi page.
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Yes, course requiring practical include hands-on labs.
Yes, we do. For details go to flexi
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
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You can pay through debit/credit card or bank wire transfer.
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Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

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