This is a 12 hours long LIVE Instructor led training delivered from January 14 - January 30, 2020 over 3 weeks, 6 sessions, 2 sessions per week, 2 hours per session.
Kafka Training offers an in-depth understanding of Kafka Architecture, configuration, performance tuning, integration with Hadoop, spark & storm, etc., through real-time use cases.

Weekly Schedule

3 weeks | Tuesday, Thursday every week
5:30 - 7:30 PM US Pacific time each day
January 14 - January 30, 2020 US Pacific time

Please check your local date and time for first session

Features and Benefits

3 weeks, 6 sessions, 12 hours of total Instructor led LIVE training
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands on Lab exercises provided
Actual code and scripts provided
Real-life Scenarios


What is Kafka?
Kafka is an open source data streaming system. It is designed to efficiently manage and process messaging system. The messages are produced and checked at the rate of milliseconds. Kafka is used to building a real-time data pipelines. It is a distributed streaming platform which means that it exactly publishes and subscribes to stream of records. Kafka is usually good for building real-time streaming. Also, it helps to build a real-time streaming application. It can be run on one or more server.

What are the Course Objectives?Complete knowledge of Apache Kafka.

Learn how to install and configuration of Kafka.
Get knowledge of End-to-End architecture.
Integration with other Application.
Implementing Kafka as the Single node.
Implementing on real-time Project.


Who should take this Course? 

Any IT experienced Professional who is interested to build their career in Big data Analysts.
Any B.E/ B.Tech/ BSC/ M.C.A/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
Fresh Graduates.


Prerequisites
The course can learn from any IT professional having basic knowledge of :

Core Java Programming
Database  concept
Unix/Linux


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

 

Module 2: More about the Kafka cluster

Understanding the components of Kafka Cluster
Installation of Kafka Cluster
Configuring Kafka Cluster
Producer of Kafka
Consumer of Kafka
Producer and Consumer in Action

 

Module 3: Kafka Operations and Performance Tuning

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

 

Module 4: Integration of Kafka with Hadoop and Storm

Understanding the Hadoop Cluster
Integrating Kafka with Hadoop Cluster
Understanding Apache Storm
Implementing Spouts and Bolts
Kafka with Storm Spout


Module 5: Integration of Kafka with Spark

Ecosystem of Spark
Understanding the Spark Cluster
Integrating Kafka with Spark

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