32 Hrs
4255+ Enrollments
Cloudera Training for Apache Kafka
This course is designed to equip learners with the skills and knowledge required to become an expert in Apache Kafka. The course covers everything from the basics of Kafka to advanced topics like cluster setup, monitoring, and performance tuning. With the help of real-world examples and hands-on exercises, learners will gain practical experience working with Kafka.
Cloudera Training for Apache Kafka
Overview of Course
Our Cloudera Training for Apache Kafka course provides an in-depth understanding of the Apache Kafka ecosystem, including Kafka architecture, configuration, security, and performance tuning. Participants will gain hands-on experience with real-world scenarios and will be able to implement Kafka in their projects with ease.
Course Highlights
In-depth understanding of Kafka architecture and its components
Hands-on experience with Kafka cluster setup and administration
Understand Kafka security and performance tuning
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Understand the fundamentals of Kafka and its architecture
Setup and configure Kafka cluster
Administer and troubleshoot Kafka clusters
Implement security in Kafka
Tune Kafka performance
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
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- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- 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
- 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
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Software Developers
- Big Data Professionals
- Data Engineers
- IT Professionals
Prerequisite:
- Basic knowledge of Linux
- Familiarity with Java programming
Benefits of the course:
- Hands-on experience with real-world scenarios
- Practical skills to implement Kafka in projects
- In-depth understanding of Kafka architecture and its components
- Comprehensive knowledge of Kafka security and performance tuning
Exam details to pass the course:
- There is no exam to pass the course. However, participants need to complete all the modules and the final project to receive a certificate of completion.
Certification path:
- Cloudera Certified Developer for Apache Kafka
- Cloudera Certified Administrator for Apache Kafka
Career options after doing the course:
- Big Data Engineer
- Data Engineer
- Kafka Administrator
- Big Data Developer
Why should you take this course from Skillzcafe:
Industry experts as instructors- Hands-on experience with real-world scenarios
- Comprehensive course curriculum
- Lifetime access to course materials
- Affordable pricing
FAQs
No, you don't need prior experience in Kafka. However, familiarity with Java programming and basic knowledge of Linux will be helpful.
This course is instructor-led.
The course duration is 32 hours, including hands-on exercises and projects.
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