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Apache Kafka Course Overview


Apache Kafka is an open source big data streaming platform designed to enable low-latency processing of streaming data. It allows for high throughput, fault-tolerant storage, and real-time replication of data across multiple machines.
This Apache Kafka course provides an introduction to the fundamentals of Apache Kafka and its core concepts such as topics, partitions, replication, and message queues. It also covers Kafka’s architecture, configuration, integration, and security. Additionally, the course explores the Kafka Producer API, Consumer API, Streams API, and Connect API. Upon completion of this course, you will have a solid understanding of Kafka and its capabilities and will be able to use it to stream data in real time.
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Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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You will learn:

Module 1: Introduction to Big data and Apache Kafka
  • Introduction to Big Data
  • Big Data Customer Scenarios
  • What is Kafka?
  • Need for Kafka
  • Core Concepts of Kafka
  • Kafka Architecture
  • Where is Kafka Used
  • Understanding the components of Kafka Cluster
  • Installation of Kafka Cluster
  • Configuring Kafka Cluster
  • Producer of Kafka
  • Consumer of Kafka
  • Producer and Consumer in Action
  • Understanding the components of Kafka Cluster
  • Kafka SDK List
  • Creating Kafka Project
  • Java Producer
  • Java Producer Callbacks
  • Java Producer with Keys
  • Java Consumer
  • Java Consumer – Graceful Shutdown
  • Java Consumer inside Consumer Group
  • Java Consumer Incremental Cooperative Rebalance and Static Group Membership
  • Java Consumer Incremental Cooperative Rebalance – Practice
  • Java Consumer Auto Offset Commit Behavior
  • Kafka Performance Tuning
  • Reading data from Kafka
  • Demo - Java Producer
  • Mixed Paradigm-Functional Programming
  • Offset
  • Design
  • Hardware
  • Kafka Monitoring and Issues
  • Wikimedia Producer Project Setup
  • Wikimedia Producer Implementation
  • Wikimedia Producer Run
  • Wikimedia Producer – Producer Config Intros
  • Producer Acknowledgements Deep Dive
  • Producer Retries
  • Idempotent Producer
  • Safe Kafka Producer Settings
  • Wikimedia Producer Safe Producer Implementation
  • Kafka Message Compression
  • OpenSearch Consumer – Project Overview
  • OpenSearch Consumer – Project Setup
  • Setting Up OpenSearch on Docker
  • OpenSearch Consumer Implementation
  • Consumer Delivery Semantics
  • OpenSearch Consumer Implementation - Idempotence
  • Consumer Offsets Commit Strategies
  • OpenSearch Consumer Implementation – Delivery Semantics
  • OpenSearch Consumer Implementations – Batching Data
  • Consumer Offset Reset Behavior
  • OpenSearch Consumer Implementation – Replaying Data
Live Online Training (Duration : 32 Hours)
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.

1600 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1200 Per Participant & excluding VAT/GST
Date On Request
Apache Kafka
Course Prerequisites

There are no specific prerequisites for Apache Kafka Training. Anyone from technical backgrounds such as software development, web development, data engineers or anyone who is interested in learning Apache Kafka can take this course. Knowledge of distributed systems and JVM is an added advantage.

Target Audience


The target audience for Apache Kafka training is software engineers, system architects, and developers who are looking to build distributed data architectures on the Kafka platform
Individuals with some experience in distributed computer systems, messaging systems, and cloud computing will benefit the most
Additionally, software developers and DevOps engineers who need to build, operate, and troubleshoot Kafka-based data architectures can find great value in the course
The course will also benefit Data Analysts, Data Scientists, Data Architects, and Systems Administrators who need to get insights and build applications on real time data streams
The training also covers topics related to Kafka Security, Streaming Analytics, Stream Processing, and best practices to build production-grade systems on Kafka

Learning Objectives of Apache Kafka


1. Understand the basic concepts of Kafka such as topics, partitions, brokers.
2. Learn to create and publish messages in Kafka topics.
3. Gain knowledge in configuring Kafka topics, partitions and replicas.
4. Understand how Kafka works under the hood and its purposes in the development ecosystem.
5. Comprehend the concepts of message delivery semantics and delivery guarantees.
6. Distinguish among different types of Kafka connectors.
7. Learn to set up and deploy Kafka clusters with multiple brokers.
8. Configure and monitor efficient Kafka clusters for high throughput.
9. Monitor Kafka performance and maintain its security.
10. Install and administer Kafka Connect and Apache ZooKeeper.
11. Gain an understanding of the Kafka Streams API and its implications.
Student Name Feedback
Emmanuel Mujuni
United States
A1. Trainer is skilled. Very engaging and friendly. He listens to students concerns and ready to provide advise even on areas not related to the course. He is just an amazing trainer
Dennis Onsongo
United States
A1. Trainer has in-depth knowledge of the training area which is well demonstrated by the hands-on approach used in the delivery of the course which makes it more interactive and fun.
Tom Wavomba
United States
A1. Pranav understands his stuff excellently, he explained in detailed all the aspects of Kafka and Nginx and even the java programming language.
John Muriithi
United States
A1. Great presentation Skills.
Chris Oyuga
United States
A1. Great work
Joshua Mwaura
United States
A1. He was very engaging and well skilled with all the knowledge and information needed to train, he understood the solution and provided insight.
Zephania Odongo
United States
A1. The trainer has a wealth of knowledge and is an expert in the subject matter. The training was very informative and insightful.
Onesmus Kirimi
United States
A1. Very good experience and real-life examples discussed in class.

FAQ's

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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 you can request your customer experience manager for the same.
Yes you can.
Yes, we do. For details go to flexi
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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The Fee includes:
  • Testing Via Qubits
  • Remote Labs
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
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