Cloudera Training for Apache Kafka Course Overview

Enroll for our 4-day Cloudera Training for Apache Kafka from Koenig Solutions accredited by Cloudera.  In this course you will learn key concepts and architecture, and discussing several common use cases of Apache Kafka and also learn how to plan a Kafka deployment, and then gain hands-on experience by installing and configuring your own cloud-based, multi-node cluster running Kafka on the Cloudera Data Platform (CDP).

Through a blend of hands-on labs and interactive lectures, you will learn range of essential skills, starting with how to create Kafka topics, producers, and consumers, then continuing through progressively more challenging aspects of Kafka operations and development, such as those related to scalability, reliability, and performance problems. Throughout the course, you will learn and use Cloudera’s recommended tools for working with Kafka, including Cloudera Manager, Schema Registry, Streams Messaging Manager, and Cruise Control.

Target Audience:

This course is intended for system administrators, data engineers, and developers.

Learning Objectives:

After completing this course, you will be able to:

  • Plan, deploy, and operate Kafka clusters
  • Create and manage topics
  • Develop producers and consumers
  • Use replication to improve fault tolerance
  • Use partitioning to improve scalability
  • Troubleshoot common problems and performance issues

 

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

You will learn:

Module 1: Kafka Overview
  • High-Level Architecture
  • Common Use Cases
  • Cloudera's Distribution of Apache Kafka
  • System Requirements and Dependencies
  • Service Roles
  • Planning Your Deployment Deploying Kafka Services
  • Exercise: Preparing the Exercise Environment
  • Exercise: Installing the Kafka Service with Cloudera Manager
  • Exercise (optional): Create Metrics Dashboards
  • Exercise (optional): Using the CM API
  • Create and Manage Topics
  • Running Producers and Consumers
  • Streams Messaging Manager Overview
  • Producers, Topics, and Consumers
  • Data Explorer
  • Brokers
  • Topic Management
  • Exercise: Managing Topics using the CLI
  • Exercise: Connecting Producers and Consumers from the Command Line
  • Overview of Kafka's APIs
  • Topic Management from the Java API
  • Exercise (optional): Managing Kafka Topics Using the Java API
  • Using Producers and Consumers from the Java API
  • Exercise: Developing Producers and Consumers with the Java API
  • Replication
  • Exercise: Observing Downtime Due to Broker Failure
  • Considerations for the Replication Factor
  • Exercise: Adding Replicas to Improve Availability
  • Partitioning
  • How Messages are Partitioned
  • Exercise: Observing How Partitioning Affects Performance
  • Consumer Groups
  • Exercise: Implementing Consumer Groups
  • Consumer Rebalancing
  • Exercise: Using a Key to Control Partition Assignment
  • Delivery Semantics
  • Demonstration (optional): ISRs vs. ACKs
  • Producer Delivery
  • Exercise: Idempotent Producer
  • Transactions
  • Exercise: Transactional Producers and Consumers
  • Handling Consumer Failure
  • Offset Management
  • Exercise: Detecting and Suppressing Duplicate Messages
  • Exercise: Handling Invalid Records
  • Handling Producer Failure
  • End-to-End Latency
  • Notifiers
  • Alert Policies
  • Use Cases
  • Monitoring Overview
  • Monitoring using Cloudera Manager
  • Charts and Reports in CM
  • Monitoring Recommendations
  • Metrics for Troubleshooting
  • Diagnosing Service Failure
  • Exercise: Monitoring Kafka
  • Managing Kafka Topic Storage
  • Demonstration (optional): Message Retention Period
  • Log Cleanup and Collection
  • Rebalancing Partitions
  • Cruise Control
  • Exercise: Installing Cruise Control
  • Exercise: Troubleshooting Kafka Topics
  • Unclean Leader Election
  • Exercise: Unclean Leader Election
  • Adding and Removing Brokers
  • Exercise: Adding and Removing Brokers
  • Best Practices
  • Message Structure
  • Schema Registry
  • Defining Schemas
  • Schema Evolution and Versioning
  • Schema Registry Client
  • Exercise: Using an Avro Schema
  • Message Size
  • Batching
  • Compression
  • Exercise: Observing How Compression Affects Performance
  • Performance Tuning Strategies for the Administrator
  • Cluster Sizing
  • Exercise: Planning Capacity Needed for a Use Case
  • Encryption
  • Authentication
  • Authorization
  • Auditing
Live Online Training (Duration : 32 Hours) Fee On Request
Group Training
Online
05 - 08 Sep GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
03 - 06 Oct GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track

If you can't spare 32 hours. We can offer you an Ultra-Fast Track for 16 hours
Enquire Now!

Course Prerequisites

Participants must have basic Linux experience, and basic proficiency with the Java programming language is recommended. No prior experience with Apache Kafka is necessary.

 

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FAQ's


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The Fee includes:
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
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In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
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