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Introduction to Kafka for Developers
Description
Introduction to Kafka for Developers
Welcome to the “Introduction to Kafka for Developers” course, your gateway to mastering Apache Kafka, the leading real-time data pipeline processor acclaimed for its scalability, fault tolerance, and high performance. This immersive two-day training is tailored for developers who aim to build advanced streaming solutions that integrate seamlessly within Enterprise Data architectures.
You will gain a deep understanding of Kafka’s ecosystem, exploring its key functionalities such as data ingestion, stream processing, and the creation of event-driven architectures.
Our hands-on approach ensures that you not only learn the theoretical aspects of Kafka but also apply these concepts in practical scenarios, guided by industry best practices.
By the end of this course, you’ll have the expertise to design, build, and deploy robust Kafka solutions that enhance the capabilities of data-driven enterprises. Whether you’re expanding your existing skills or new to Kafka, this course will equip you with the tools needed to excel in the world of real-time data processing.
Introduction to Kafka for Developers Course Objectives
- Understand Kafka’s Core Concepts: Learn the fundamental principles of Apache Kafka, including its architecture, key components, and operational strengths.
- Hands-On Implementation: Engage in practical exercises that teach you how to set up, configure, and manage Kafka streams effectively.
- Master Stream Processing: Develop skills to process data streams in real-time, applying Kafka for data ingestion and event-driven architectures.
- Apply Real-World Scenarios: Utilize Kafka in real-world use cases, reinforcing learning through applied knowledge in industry-standard settings.
- Prepare for Advanced Development: Prepare to deploy scalable and fault-tolerant streaming solutions that meet the rigorous demands of modern enterprises.
Prerequisites
- Attendees should be experienced developers who are comfortable with Java, and have reasonable experience working with databases.
- Students should also be able to navigate Linux command line, and who have basic knowledge of Linux editors (such as VI / nano) for editing code.
Audience
- This in an intermediate-level course is geared for experienced Java developers seeking to be proficient in Apache Kafka.
Introduction to Kafka for Developers Outline
Streaming Systems Introduction:
- Fast data
- Streaming architecture
- Lambda architecture
- Message queues
- Streaming processors
Kafka Introduction:
- Architecture
- Comparing Kafka with other queue systems (JMS / MQ)
- Kafka concepts: Messages, Topics, Partitions, Brokers, Producers, commit logs
- Kafka & Zookeeper
- Producing messages
- Consuming messages (Consumers, Consumer Groups)
- Message retention
- Scaling Kafka
- Labs: Getting Kafka up and running; Using Kafka utilities
Programming With Kafka:
- Configuration parameters
- Producer API (Sending messages to Kafka)
- Consumer API (consuming messages from Kafka)
- Commits, Offsets, Seeking
- Schema with Avro
- Lab: Writing Kafka clients in Java; Benchmarking Producer APIs
Kafka Streams:
- Streams overview and architecture
- Streams use cases and comparison with other platforms
- Learning Kafka Streaming concepts (KStream, KTable, KStore)
- KStreaming operations (transformations, filters, joins, aggregations)
- Labs: Kafka Streaming labs
Administering Kafka:
- Hardware / Software requirements
- Deploying Kafka
- Configuration of brokers / topics / partitions / producers / consumers
- Security: How secure Kafka cluster, and secure client communications (SASL, Kerberos)
- Monitoring: monitoring tools
- Capacity Planning: estimating usage and demand
- Troubleshooting: failure scenarios and recovery
Monitoring and Instrumenting Kafka:
- Monitoring Kafka
- Instrumenting with Metrics library
- Labs: Monitor Kafka cluster
- Instrument Kafka applications and monitor their performance
Case Study / Workshop (Time-Permitting)
$1895.00
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2 Days Course |