Apache Kafka Certification Training

Mildaintrainings Apache Kafka Certification Training helps you in learning the concepts about Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring. Apache Kafka Certification Training is designed to provide insights into Integration of Kafka with Hadoop, Storm and Spark, understand Kafka Stream APIs, implement Twitter Streaming with Kafka, Flume through real life cases studies.

  • ✔ Course Duration : 32 hrs
  • ✔ Training Options : Live Online / Self-Paced / Classroom
  • ✔ Certification Pass : Guaranteed
UPCOMING-BATCHES OVERVIEW LEARNING OBJECTIVES PRE-REQUISITES CURRICULUM FAQ CERTIFICATE

Overview

Apache Kafka is an open-source messaging infrastructure designed by LinkedIn and used by several major SaaS (Software as a Service) applications that we use on a daily basis. Kafka was designed to work with large scale data movements and offer seamless performance and reliability. Today when most IT professionals are dealing with a data deluge in the form of hundreds of billions of message, Kafka is the big data solution that you need!

What you will Learn

  • Developers, who want to gain acceleration in their career as a "Kafka Big Data Developer"
  • Testing Professionals, who are currently involved in Queuing and Messaging Systems
  • Big Data Architects, who like to include Kafka in their ecosystem
  • Project Managers, who are working on projects related to Messaging Systems
  • Admins, who want to gain acceleration in their careers as a "Apache Kafka Administrator

PREREQUISITES

Fundamental knowledge of Java concepts is mandatory. Edureka provides a complimentary course i.e., "Java Essentials" to all the participants, who enrolls for the Apache Kafka Certification Training

CURRICULUM

Learning Objectives:

  • 1. Introduction to Big Data
  • 2. Big Data Analytics
  • 3. Need for Kafka
  • 4. What is Kafka?
  • 5. Kafka Features
  • 6. Kafka Concepts
  • 7. Kafka Architecture
  • 8. Kafka Components
  • 9. ZooKeeper
  • 10. Where is Kafka Used?
  • 11. Kafka Installation
  • 12. Kafka Cluster
  • 13. Types of Kafka Clusters
  • Hands-on:

  • ✔ Kafka Installation
  • ✔ Implementing Single Node-Single Broker Cluster
  • Learning Objectives:

  • 1. Configuring Single Node Single Broker Cluster
  • 2. Configuring Single Node Multi Broker Cluster
  • 3. Constructing a Kafka Producer
  • 4. Sending a Message to Kafka
  • 5. Producing Keyed and Non-Keyed Messages
  • 6. Sending a Message Synchronously & Asynchronously
  • 7. Configuring Producers
  • 8. Serializers
  • 9. Serializing Using Apache Avro
  • 10. Partitions
  • Hands-on:

  • ✔ Working with Single Node Multi Broker Cluster
  • ✔ Creating a Kafka Producer
  • ✔ Configuring a Kafka Producer
  • ✔ Sending a Message Synchronously & Asynchronously
  • Learning Objectives:

  • 1. Consumers and Consumer Groups
  • 2. Standalone Consumer
  • 3. Consumer Groups and Partition Rebalance
  • 4. Creating a Kafka Consumer
  • 5. Subscribing to Topics
  • 6. The Poll Loop
  • 7. Configuring Consumers
  • 8. Commits and Offsets
  • 9. Rebalance Listeners
  • 10. Consuming Records with Specific Offsets
  • 11. Deserializers
  • Hands-on:

  • ✔ Creating a Kafka Consumer
  • ✔ Configuring a Kafka Consumer
  • ✔ Working with Offsets
  • Learning Objectives:

  • 1. Cluster Membership
  • 2. The Controller
  • 3. Replication
  • 4. Request Processing
  • 5. Physical Storage
  • 6. Reliability
  • 7. Broker Configuration
  • 8. Using Producers in a Reliable System
  • 9. Using Consumers in a Reliable System
  • 10. Validating System Reliability
  • 11. Performance Tuning in Kafka
  • Hands-on:

  • ✔ Create a topic with partition & replication factor 3 and execute it on multi-broker cluster
  • ✔ Show fault tolerance by shutting down 1 Broker and serving its partition from another broker
  • Learning Objectives:

  • 1. Multi-Cluster Architectures
  • 2. Apache Kafka’s MirrorMaker
  • 3. Other Cross-Cluster Mirroring Solutions
  • 4. Topic Operations
  • 5. Consumer Groups
  • 6. Dynamic Configuration Changes
  • 7. Partition Management
  • 8. Consuming and Producing
  • 9. Unsafe Operations
  • Hands-on:

  • ✔ Topic Operations
  • ✔ Consumer Group Operations
  • ✔ Partition Operations
  • ✔ Consumer and Producer Operations
  • Learning Objectives:

  • 1. Stream Processing
  • 2. Stream-Processing Concepts
  • 3. Stream-Processing Design Patterns
  • 4. Kafka Streams by Example
  • 5. Kafka Streams: Architecture Overview
  • Hands-on:

  • ✔ Kafka Streams
  • ✔ Word Count Stream Processing
  • Learning Objectives:

  • 1. Apache Hadoop Basics
  • 2. Hadoop Configuration
  • 3. Kafka Integration with Hadoop
  • 4. Apache Storm Basics
  • 5. Configuration of Storm
  • 6. Integration of Kafka with Storm
  • 7. Apache Spark Basics
  • 8. Spark Configuration
  • 9. Kafka Integration with Spark
  • Hands-on:

  • ✔ Kafka integration with Hadoop
  • ✔ WKafka integration with Storm
  • ✔ Kafka integration with Spark
  • FAQs

    You can enroll for this classroom training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
    1. Online ,By deposit the mildain bank account
    2. Pay by cash team training center location

    Highly qualified and certified instructors with 20+ years of experience deliver more than 200+ classroom training.

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    We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

    Yes, you can cancel your enrollment if necessary prior to 3rd session i.e first two sessions will be for your evaluation. We will refund the full amount without deducting any fee for more details check our Refund Policy

    Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

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