Apache Kafka

Kafka is designed for distributed high throughput systems. Kafka tends to work very well as a replacement for a more traditional message broker. In comparison to other messaging systems, Kafka has better throughput, built-in partitioning, replication and inherent fault-tolerance, which makes it a good fit for large-scale message processing applications.

Intermediate 0(0 Ratings) 0 Students enrolled
Created by Sanjeev Singh Last updated Fri, 11-Sep-2020 English
What will i learn?
  • Professionals aspiring for a career in Big Data

Curriculum for this course
0 Lessons 00:00:00 Hours
Requirements
  • Knowledge of any messaging system
  • Basic knowledge of Java or any programming language
  • Some knowledge of Linux- or Unix-based systems (nor required)
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Description

Kafka introduction:

  •  What is Apache Kafka
  •  Kafka Features and terminologies
  •  High level kafka architecture
  •  Real life Kafka Case Studies

Integrating Flume and Kafka :

  •  Overview
  •  Use Cases
  •  Configuration
  •  Tips for Deployment

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
  •  Understanding Broker
  •  Understanding Producer
  •  Understanding Consumer
  •  Mirroring Kafka

Introduction to Zookeeper :

  • What is Zookeeper
  • Leader Election by Zookeeper
  • Applications using Zookeeper
  • Zookeeper Architecture
  • Zookeeper configuration and installation
  •  Zookeeper Troubleshooting
  •  Kafka Advanced Operations
  •  Introduction to Apache Storm
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