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Apache Kafka
Rated 4.0/5 based on 345 Votes customer reviews

Apache Kafka Training

Learn about Kafka and its components and study how to Integrate Kafka with Hadoop, Storm and Spark

  • 24 hours of Instructor-led training
  • Basic to Advanced level
  • Hands-on exercises
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Modes of Delivery

Key Features

24 hours of Instructor-led sessions on Apache Kafka
Immersive hands-on training classes
Understand the basics of a messaging system, about Kafka and its various components
Learn about Kafka cluster its integration with other Big Data Frameworks like Hadoop
Learn to design and develop a robust messaging system
Our Apache Kafka experts will guide students in implementing the technology for future projects

Description

Apache Kafka training

Zeolearn brings you a course on the open source, real-time processing system “Apache Kafka” that is used for handling large streams of real time, high velocity data. This Apache Kafka training will make you proficient in its architecture, installation configuration and performance tuning. You will also learn to integrate Kafka with Hadoop, Spark and the other distributed processing system—Storm.

Why Apache Kafka is in demand?       

Having developed in LinkedIn to handle large volumes of real time data and have low fault tolerance, Apache Kafka has now become popular with companies that need a reliable and robust platform for supporting real time processing.  The advantages it offers, such as better throughput, built-in partitioning, replication and fault tolerance make it the preferred choice for large data processing jobs.

Here’s what you will learn!

  • The basics of a messaging system, about Kafka and its various components and how it helps in real time data processing
  • How to design and develop a robust messaging system
  • The Kafka cluster and how it integrates with other Big Data Frameworks like Hadoop
  • Integrating Kafka with Storm

Is this course right for you?

Developers, testing professionals, Big Data architects, project managers and other professionals who want to learn and understand Kafka techniques and use it for Big Data analysis.

Prerequisites:

Participants are expected to know core concepts of Java, in order to attend this course.

 

Curriculum

  • 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 REPL
  • 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

Frequently Asked Questions

Real time analytics are trending right now due to the great business benefits that they offer. Kafka is a distributed publish subscribe messaging system and is preferred for its reliability, scalability, durability and ability to maintain high throughput and handle large volumes of data. Big data enthusiasts and programmers who want to make data analysis their career will benefit by pursuing Apache Kafka course. Zeolearn academy’s Apache Kafka course is a complete package giving you the theoretical and practical training to understand Apache Kafka. Our workshop has been carefully designed by trainers who are industry experts who will hand-hold you through the various concepts. The demo and practice sessions, lectures and materials such as case studies and extensive glossary and course ware will help you to completely master Storm and gain confidence to handle on-the-job challenges. 

On completing the course, you will learn about:

  • Kafka and its components
  • Kafka cluster and its setup and installation
  • Kafka operations and performance tuning
  • Integrating Kafka with Hadoop and Storm
  • Integrating Kafka with Spark

Zeolearn brings you online mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Big Data such as Hadoop Administration and Apache Spark and Scala, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Apache Kafka certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will write your own Apache Kafka code and implement it with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Developers, testing professionals, Big Data architects, project managers and other professionals who want to learn and understand Kafka techniques and use it for Big Data analysis.

  • Operating system such as Mac OS X, Windows or Linux
  • 4 GB RAM
  • Dual Core CPU

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