Getting Started With Kafka

Apache Kafka

Tune your skills with Apache Kafka – the next generation distributed messaging system, and nurture your career as a Professional Kafka Big Data Developer.

Apache Kafka is an open-source, fast, scalable and fault-tolerant real-time messaging system, which can process millions of messages at a single instance.
The Apache Kafka training course from Kovid Academy is designed to introduce you to the world of distributed messaging systems, and explain the scope of Apache Kafka in the present business operations. The course initially deals with the fundamental concepts of Kafka like Kafka Architecture, APIs, Clusters and further progresses into the advanced concepts like Kafka Integration with Storm, Hadoop etc.
With the perspective of getting started with Kafka administration, the course also covers the installation, configuration and monitoring of Apache Kafka using different administration tools.
To provide feasibility to the learners, Kovid Academy is offering two interactive modes of training. You can choose between Apache Kafka Online Training mode and Apache Kafka Classroom training mode. For delivering competency, the Kafka training online mode is bundled with a post-training live support post for 1 year.

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Course Details

After the completion of this course, you will get expertise in:

  1. Basics and the Architecture of Apache Storm
  2. Key scenarios of using Apache Strom for Real-time Analytics
  3. Installation and Configuration process of Apache Storm
  4. Basics of Trident Extension to Apache Storm
  5. Data Insertion & Grouping in Apache Storm

This course is extensively useful for:

  1. Students or aspirants, who desires for a career progression in the field of Real-time Analytics using Big Data.
  2. Hadoop Professionals, Data Scientists, ETL Developers, Project Managers, IT Professionals and a lot more.
Instructor Led training 16 Hrs
Instructor Interaction Yes
Live Support Post Training 1 Year
Simulated Projects 1
Capstone/Hands On/Real Time Project 1
Kovid Academy Big Data Developer Certificate Yes
25 CEU/PDU certificate Yes
Certificate – Kovid Academy Big Data Developer with Kafka Yes

Module 1: Introduction to Big Data and Apache Kafka

  • Introduction to Big Data
  • Business Scenarios of Big Data
  • Introduction to Apache Kafka
  • Need and Significance of Apache Kafka
  • Apache Kafka Architecture

Module 2: Deep Dive into Kafka Cluster

  • Versions of Kafka
  • Components of Kafka Cluster
  • Installation of Kafka Cluster
  • Configuration of Kafka Cluster
  • Kafka Producers
  • Kafka Consumers

Module 3: Kafka Operations and Performance Tuning

  • Hardware and Design
  • Kafka Monitoring issues and Performance Tuning
  • Reading Data from Kafka
  • Introduction to Scala
  • Installation of Scala
  • Configuration of Scala
  • Scala REPL

Module 4: Kafka Integration with Hadoop and Storm

  • Introduction to Hadoop Cluster
  • Kafka Integration with Hadoop Cluster
  • Introduction to Strom
  • Implementation of Spouts & Bolts
  • Kafka with Storm Spout

Module 5: Kafka with Spark and Project

  • Spark Ecosystem
  • Configuring Spark Cluster
  • Kafka Integration with Spark
  • Use Cases of Apache Kafka
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Why Apache Kafka?

LinkedIn has founded Apache Kafka, and from then onwards, there is a lot of buzz going on for Kafka. Today, a large number of companies are using this technology as a replacement for the traditional message brokers. As a result, a large demand for the Kafka Big Data developers has been created in the worldwide market.

What are the prerequisites of this course?

To make the most of this course, you are required to have:
1)Basic knowledge of Java or Python
If you feel there is a need to revise some of the concepts in Java, then we will add Java course as a free add-on to Apache Kafka course.

Who is the right candidate for this course?

This course is ideal for:
1)Students or aspirants, who desires for a career progression in the field of Big Data.
2)Big Data Professionals, who are looking to accelerate their career as Kafka Big Data Developers.
3)Application Developers, Architects, Testers, Project Managers and a lot more.

What are the software or hardware requirements?

The participants are recommended to have:
1)i3 or any higher range Processor with virtualization support
2)64-bit operating system
3)Minimum of 4 GB RAM (8 GB is recommended)
4)100 GB of free hard disk space.

How many hours is a student expected work?

This extensively depends upon your prior experience levels and the grasping nature. It means, the time period may vary from one participant to another. On an average, we have noticed that the participants are required to spend double the training hours. Let us consider, if the training is for 10 hours, then the participants are required to spend an additional of 20 hours more.