Apache Kafka certification - eLearning

Apache Kafka eLearning 

Premium e-learning & certification

With AVC's Kafka certification training, you will explore how to process large amounts of data using various tools. You will understand how to better utilize Big Data Analytics with this Kafka training. Take advantage of our blended learning approach for this Kafka course and learn the fundamental concepts of Apache Kafka. Get ready to go through the cutting-edge curriculum of this Apache Kafka certification, designed by industry experts, and develop the work-ready skills of a Kafka developer.

In this Apache Kafka certification course, you will learn to master the architecture, installation, configuration, and interface of open source Kafka messaging. With this Kafka course, you will learn the basics of Apache ZooKeeper as a centralized service and develop skills to install Kafka for real-time messaging.

Professionals who want to make a career in Big Data can take this certification course in Apache Kafka. It is also suitable for analysts, researchers, IT developers, testers, project managers and people looking to change careers.

What is Apache Kafka?

Apache Kafka is an open source software platform for distributed stream processing, developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java.

Why should I learn Apache Kafka?

There are many reasons to learn this Apache Kafka open source system because it is:

• High scalability
• Very durable messaging system.
• Very reliable messaging system
• Great performance
• Companion to your enterprise Hadoop infrastructure.

Key features of the Kafka training

• Course and material are in English
• Beginner - Intermediate for aspiring data engineer
• 1 year access to the self-paced study eLearning platform 24/7
• 9,5 hours of video content
• 30 hours study time recommended
• 1 industry-based case study
• No exam for the course but student will get certification of training completion

Competencies covered

• Basic concepts about Kafka
• Kafka architecture
• Installation and configuration of Kafka
• Kafka interface
• Apache zoo
• KeeperKafka for real-time messaging

Learning Outcomes

• Learn the architecture and core components of Kafka, including producers, consumers, brokers, topics, partitions, and logs.
• Learn how to monitor, troubleshoot, and maintain Kafka environments.
• Develop the ability to design and implement real-time data pipelines using Kafka producers and consumers.
• Implement strategies for data durability, fault tolerance, and scalability in Kafka-based systems.

Who Should Enroll in this Program?

An Apache Kafka certification course is ideal for a wide range of professionals and individuals looking to enhance their skills in data streaming, real-time analytics, and distributed systems.

• Software Developers
• Data Engineers
• Big Data Professionals
• DevOps Engineers
• System Administrators
• Business Intelligence (BI) Professionals
• Solutions architects
• Students and Fresh Graduates

Prerequisites

There is no formal requirement to enroll the course. The prerequisites for taking an Apache Kafka certification training course are generally minimal, but having a foundational understanding of certain concepts and technologies will greatly enhance your learning experience.

Basic Programming Knowledge

• Languages: Proficiency in at least one programming language such as Java, Python, or Scala is helpful, as Kafka is typically used within these environments.
• Understanding of Concepts: Knowledge of object-oriented programming (OOP) concepts, data structures, and basic algorithms is beneficial.

Understanding of Distributed Systems

• Concepts: Familiarity with distributed system fundamentals such as nodes, clusters, and network protocols will be helpful. Kafka operates as a distributed messaging system, so understanding how distributed systems work is key.
• High Availability and Fault Tolerance: A basic understanding of how distributed systems ensure uptime, replication, and fault tolerance can be valuable.

Basic Knowledge of Linux/Unix

• Kafka is typically deployed on Linux-based systems, so basic skills in the Linux command line for system navigation and operations will be beneficial.
• Knowledge of managing processes, files, and directories in Linux can help with Kafka setup and maintenance.

Familiarity with Databases (Optional but Helpful)

• Basic understanding of databases (relational or NoSQL) and concepts like data replication and scaling can help in understanding Kafka’s distributed data storage model.

Course Content

Part 01 - Introduction to Apache Kafka

• Lesson 01 - Introduction to the course
• Lesson 02 - Overview of Big Data
• Lesson 03 - Analyzing Big Data
• Lesson 04 - Message handling systems
• Lesson 05 - Overview of Kafka
• Lesson 06 - Kafka components and architecture
• Lesson 07 - Kafka clusters
• Lesson 08 - Applications of Kafka in industry
• Lesson 09 - Demo: Installation of Kafka and Zookeeper
• Lesson 10 - Demo: Single-node clustering, single multi-multi-broker
• Lesson 11 - Main takeaway

Part 02 - Kafka Producer

• Overview of producer and its architecture
• Kafka producer configuration
• Send Messages
• Serializers
• Partitions

Part 03 - Kafka Consumer

• Poll Loop
• Configuring Consumer
• Commit and offset
• Rebalance Listeners
• Consuming records with a specific offset
• Deserializers

Part 04 - Kafka operations and performance

• Learning Objectives
• Replications
• Storage
• Configuration in Reliable System

Part 05 - Kafka cluster architecture and management of Kafka

• Multi Cluster Architecture
• MirrorMaker
• Administering Kafka
• Dynamic Configuration Changes
• Console Producer Tool
• Console Consumer Tool

Part 06 - Monitoring Kafka and scheduling registers

• Monitoring
• Kafka Schema Registry and Avro
• Kafka Schema Registry Components
• Kafka Schema Registry Working

Part 07 - Kafka Streams and Kafka Connectors

• Kafka Stream architecture, working and components
• Stream concepts and working
• Kafka Connectors

Part 08 - Integrating Kafka with Storm

• Apache Storm architecture and components
• Apache Storm Topology
• Kafka Spout
• Integration of Apache Storm and Kafka

Part 09 - Integrating Kafka with Spark and Flume

• Basics of Spark -RDD, Data Sets, and Transformation and actions
• Spark Stream
• Spark Integration with Kafka
• Flume
• Flume Kafka to HDFS Configuration

Part 10 - Admin client and security for Kafka

• Admin Client
• Kafka Security
• Kafka security components
• Configure SSL in Kafka
• Secure using ACLs