Cloudera Training for Apache Kafka

Cloudera Training for Apache Kafka is an advanced training course designed for professionals who want to master real-time data streaming and processing using Apache Kafka on the Cloudera Data Platform (CDP). This course covers everything from setting up Kafka clusters to designing, configuring, and managing data streams. Learn how to work with producers, consumers, topics, and Kafka Streams to build highly scalable and fault-tolerant data pipelines. You'll gain hands-on experience deploying and managing Kafka on the Cloudera platform and learn how to integrate it with other big data technologies like Apache Hadoop, Apache Spark, and Cloudera Data Flow to build efficient and reliable data streaming architectures.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

October 12^th - 15^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		10% Off $1,600 $1,440 Fast Filling! Hurry Up.
October 17^th - 25^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		10% Off $1,600 $1,440
October 19^th - 28^th 06:00 PM - 10:00 PM (CST) Live Online (32 Hrs.)		10% Off $1,600 $1,440
October 26^th - 29^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.) Guaranteed-to-Run		10% Off $1,600 $1,440
October 31^st - 08^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		10% Off $1,600 $1,440
November 02^nd - 05^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		20% Off $1,600 $1,280
November 09^th - 12^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		20% Off $1,600 $1,280
November 14^th - 22^nd 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		20% Off $1,600 $1,280
November 16^th - 25^th 06:00 PM - 10:00 PM (CST) Live Online (32 Hrs.)		20% Off $1,600 $1,280
November 23^rd - 26^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.) Guaranteed-to-Run		20% Off $1,600 $1,280
November 28^th - 06^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		20% Off $1,600 $1,280
December 07^th - 10^th 09:00 AM - 05:00 PM (CST) Live Online (32 Hrs.)		25% Off $1,600 $1,200

Course Prerequisites

Basic knowledge of Apache Kafka concepts
Familiarity with distributed systems and data streaming principles
Understanding of Cloudera Data Platform (CDP) or similar big data platforms
Experience with Linux/Unix systems is helpful
Basic understanding of data pipelines, Hadoop, and Spark is beneficial

Learning Objectives

By the end of this course, participants will be able to:

Deploy and configure Apache Kafka on Cloudera Data Platform (CDP)
Build and manage real-time data streaming pipelines using Kafka
Scale Kafka clusters and optimize for performance and fault tolerance
Secure Kafka environments using authentication, authorization, and encryption
Implement Kafka Streams for real-time data processing and analytics
Integrate Kafka with other big data technologies like Hadoop, Spark, and Cloudera Data Flow
Troubleshoot and debug Kafka applications and clusters efficiently

Target Audience

This course is ideal for professionals involved in managing and developing real-time data streaming solutions. The target audience includes:

Data Engineers
Big Data Architects
Systems Administrators
Data Scientists working with real-time data
IT professionals managing Kafka clusters
Developers building real-time data processing applications
Cloud Engineers and DevOps Teams

Course Modules

Introduction to Apache Kafka and Real-Time Data Streaming
- Overview of Apache Kafka and its ecosystem
- Key components of Kafka: Producers, Consumers, Topics, Brokers, and Zookeeper
- Use cases and applications for real-time data streaming
Setting Up and Configuring Apache Kafka on Cloudera
- Installing and configuring Apache Kafka in Cloudera Data Platform (CDP)
- Configuring and managing Kafka brokers for high availability
- Integrating Kafka with other Cloudera services like Hadoop and Spark
Kafka Data Pipeline Design and Management
- Building data pipelines using Kafka producers and consumers
- Creating and managing Kafka topics and partitions
- Understanding Kafka's message delivery guarantees: at-most-once, at-least-once, and exactly-once semantics
Managing Kafka Streams and Real-Time Data Processing
- Introduction to Kafka Streams for stream processing
- Setting up Kafka Streams applications and processing real-time data
- Implementing aggregations, transformations, and joins in stream processing
Kafka Connect for Data Integration
- Using Kafka Connect to integrate Kafka with external systems and databases
- Configuring source and sink connectors for various data sources
- Best practices for scaling and managing Kafka Connect deployments
Scaling and Monitoring Kafka Clusters
- Horizontal scaling strategies for Kafka clusters in Cloudera
- Performance tuning and capacity planning for Kafka workloads
- Monitoring Kafka with Cloudera Manager and other monitoring tools
Security and Data Governance in Kafka
- Implementing Kafka security mechanisms: SSL, SASL, ACLs
- Ensuring data governance in Kafka with access control and data encryption
- Managing data retention policies and auditing Kafka clusters
Fault Tolerance and High Availability in Kafka
- Ensuring Kafka cluster fault tolerance with replication and leader election
- Setting up Kafka cluster for high availability and disaster recovery
- Monitoring and maintaining the health of Kafka clusters
Best Practices for Apache Kafka on Cloudera
- Advanced topics and tips for optimizing Kafka performance
- Real-world best practices for Kafka cluster management
- Troubleshooting and debugging Kafka issues effectively