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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.
Apache Kafka
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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
  • Offset
  • Design
  • Hardware
  • Kafka Monitoring and Issues
  • Kafka Performance Tuning
  • Reading data from Kafka
  • Demo-Twitter Kafka Producer
  • Introduction to Scala
  • Mixed Paradigm-Functional Programming
  • Scala Installation & Configuration
  • Scala REP
  • Scala Project Using Eclipse
  • Understanding the Hadoop Cluster
  • Integrating Kafka with Hadoop Cluster
  • Understanding Apache Storm
  • Implementing Spouts and Bolts
  • Kafka with Storm Spout
  • Ecosystem of Spark
  • Understanding the Spark Cluster
  • Integrating Kafka with Spark
Live Online Training (Duration : 24 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.

1300 + 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
1150 Per Participant & excluding VAT/GST
Online
05 - 07 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
03 - 05 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
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.

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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.

Prices & Payments

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Others

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