In this Confluent Kafka Developer training course, you will learn how to build an application that can publish data to, and subscribe data from, a Kafka cluster. You will learn the role of Kafka in the modern data distribution pipeline, discuss core Kafka architectural concepts and components, and review the Kafka developer APIs. The course also covers other components in the broader Confluent Platform such as Kafka Connect and Kafka Streams. During this instructor-led, hands-on course, you will learn how to monitor, troubleshoot and tune a real-time, event-streaming platform built with Apache Kafka. You will use industry best-practices to monitor, troubleshoot, and tune the components of Kafka and Confluent Platform to support your event streaming applications. You will learn to utilize native tools, including Confluent Control Center as well as third-party software tools.
Course Objectives:
In this course, you will learn to:
- How to build an application that can publish data to and subscribe to data from an Apache Kafka cluster.
- The role of Kafka in the modern data distribution pipeline, discuss core Kafka architectural concepts and components.
- Review the Kafka developer APIs.
- Other components in the broader Confluent Platform, such as the Schema Registry, the REST Proxy, and KSQL.
- The students will learn how to design, build and configure applications that process, produce and consume data with Kafka.
- They will understand how Kafka Streams API works and how to implement Kafka in real-time processing.
- Moreover, they will gain knowledge on securing Kafka cluster and managing it with Confluent Control Center.
Course content
Fundamentals of Apache Kafka
- The Streaming Platform
- The Commit Log & Log Structured Data Flow
- Data Elements, Topics, Segments and Partitions
- Log Replication & Log Compaction
- Kafka Clients – Producers, Consumers & Kafka Connect
- Producer Design, Serialization and Partitioning
- Consumer Groups
Kafka’s Architecture
- Kafka’s Commit Log, High Concurrency and Storage
- Replicas for Reliability
- Partitions and Consumer Groups for Scalability
- Security Overview
Developing With Kafka
- Programmatically Accessing Kafka
- Writing a Producer in Java
- Using the REST API to Write a Producer
- Kafka’s Read Path
- Writing a Consumer in Java
- Using the REST API to Write a Consumer
More Advanced Kafka Development
- Message Size & Durability
- Enabling Exactly Once Semantics (EOS)
- Specifying Offsets
- Consumer Liveness & Rebalancing
- Manually Committing Offsets
- Partitioning Data
Schema Management In Kafka
- An Introduction to Avro and Data Serialization
- Avro Schemas and Schema Evolution
- Using the Schema Registry
Data Pipelines with Kafka Connect
- The Motivation for Kafka Connect
- Types of Connectors
- Kafka Connect Implementation
- Standalone and Distributed Modes
- Configuring the Connectors
Stream Processing with Kafka Streams
- An Introduction to the Kafka Streams API
- Kafka Streams Concepts
- Creating a Kafka Streams Application
- Kafka Streams by Example
- Managing Kafka Streams Processing
Stream Processing with Confluent KSQL
- KSQL for Apache Kafka
- Writing KSQL Queries
Event Driven Architecture
- Event Driven Platform
- From CQRS to Event Sourcing
- Microservices
Confluent Cloud
- Confluent Cloud Overview
- Using the Cloud CLI and Web UI
- Configuring Kafka Clients
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Course Prerequisites
- Attendees should have deep knowledge of and hands-on experience with Kafka.
- An understanding of additional components that contribute to a real-time, event-streaming platform, such as Kafka Connect, KSQL and Kafka Streams applications is also required.
- It is recommended that students attend the Apache Kafka Administration by Confluent course prior to taking Confluent Advanced Skills for Optimizing Apache Kafka.
Who can attend
- Developers who want to build Kafka-based applications for real-time processing of data streams.
- Data engineers who aim to design, develop, test, and maintain Apache Kafka systems.
- IT professionals looking to obtain an in-depth understanding of Apache Kafka architecture.
Number of Hours: 25hrs
Certification
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- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
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- Preparing for Certification
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