Apache Kafka Certification Training

Under this chapter, the candidate will gain knowledge about the fitting of Kafka certification in the Big Data Space and the architecture of Kafka. 

Skills the candidate will gain:

Kafka installation

Configuring Kafka cluster

Kafka concepts

Objectives:

Work with Single node- single broker cluster

Installation of Zookeeper and Kafka

Know the role of each Kafka components

Understand why Big Data Analytics is important

Explain what is Big Data

Describe the need for Kafka

Understanding the role of Zookeeper

Classify the different type of Kafka Clusters

Topics:

Introduction to Big Data

Need for Kafka

Kafka Features

Kafka Architecture

Zookeeper

Kafka installation

Types of Kafka Clusters

Big Data Analytics

What is Kafka?

Concepts of Kafka

Components of Kafka

Where is Kafka Used?

Kafka Cluster

Configuring single node single broker Cluster

Under this header, the candidate will learn how the producers of Kafka send the records to topics. Also, many times the issues can be called the messages. Along with the knowledge, you will be able to work with the APIs of the Kafka Producer.

Skills:

Configure Kafka Producers

Kafka Producer APIs

Constructing Kafka Producer

Handling Partitions

Objectives:

Construct a Kafka Producer

Send messages Synchronously and Asynchronously.

Serialize using Apache Avro

Send messages to Kafka

Configure Producers

Create and handle Partitions

Topics:

Configuring Single Node Multi Broker Cluster

Sending a message to Kafka

Sending a message Synchronously and Asynchronously

Serializer

Partitions

Constructing Kafka Producers

Producing Keyed and Non keyed messages.

Configuring producers

 Serialising with Apache Avro.

Applications use Kafka consumers, which needs to read the data and to subscribe.

Skills:

Configure Kafka Consumer

Constructing Kafka Consumer

Kafka Consumer API

Objectives:

Perform operations of Kafka

Explain how partitions rebalance occurs.

Configure Kafka consumer

Describe and Implement different types of commit

Define Kafka Consumer and consumer groups

Describe how to assign partitions to Kafka broker

Create a Kafka consumer and Subscribe to topics

Deserialized the deceived messages

Topics:

Consumers and consumer groups

Consumer groups and partition rebalance

Subscribing to topics

Configuring consumers

Rebalance listeners

Deserialisers

Consuming records with specific offsets

Commits and offsets

The poll loop

Creating a Kafka consumer

Standalone consumer

The candidate will gain knowledge of tuning with Kafka for the sake of meeting their high-performance needs.

Skills:

Configure broker

Kafka storage

Kafka API

Objectives:

Understand Kafka Internals

Difference between In-sync and out of sync replicas.

Classify and describe requests in Kafka

Validate system reliabilities

Explain how replication works in Kafka

Understand the partition allocation

Producer, Configure broker, and consumer for a reliable system

Configure Kafka for performance tuning.

Topics:

Cluster membership

Replication

Physical storage

Broker Configuration

Using consumers in a reliable system

Performance tuning in Kafka

The Controller

Request Processing

Reliability

Using Producers in a Reliable System

Validating system reliability

The clusters of Kafka have numerous brokers to maintain the load balance. For the management and the coordination of the broker of Kafka, we use Zookeeper.

Skills:

Administer Kafka

Objectives:

Understand use cases of cross-cluster mirroring

Explain Apache Kafka's mirror maker

Understand consumer groups

Learn partition management

Explain unsafe operations

Learn multi-cluster architectures

Perform topic operations

Describe Dynamic configurations challenges

Understand Consuming and Producing.

Topics:

Use cases- cross-cluster mirroring

Apache Kafka's Mirrormaker

Topic operations

Dynamic configurations changes

Consuming and Producing

Multi- cluster architectes

Another cross-cluster mirroring solution

Consumer groups

Partition management

Unsafe operations

Under this chapter, the candidate will learn how to monitor Kafka along with the Kafka connect. Kafka Connect is a scalable tool.

Skills:

Metrics concept

Monitoring Kafka

Kafka Connect

Objectives:

Explain the Metrics of Kafka Monitoring

Build Data pipelines using Kafka connect

Perform file source and sink using Kafka connect

Understand Kafka connect

Understand where to use Kafka connect vs. producer/connect API.

Topics:

Considerations when building Data pipelines

Kafka broker metrics

Lag monitoring

Kafka connect

Kafka connect properties

Metric Basics

Client Monitoring

End to end monitoring

When to use Kafka connect?

The candidate will learn about the Kafka stream API under this chapter. The Kafka Stream is a library for clients. It builds real-time mission-critical applications and also serves microservices.

Skills:

Stream Processing using Kafka

Objectives:

Describe what is stream processing

Describe stream processing design patterns

Learn different types of programming paradigm

Explain Kafka Streams and Kafka Streams API

Describe stream processing design patterns

Topics:

Stream processing

Concepts of stream processing

Design patterns of Stream processing

Kafka stream by example

Architecture overview of Kafka Stream

Skills:

Kafka integration with Storm

Kafka integration with spark

Kafka integration with Hadoop

Objectives:

Understand what is Hadoop

Integrate Kafka with Hadoop

Explain storm components

Understand what is Spark

Explain Spark components

Explain Hadoop 2.x core components

Understand what is Apache Storm

Integrate Kafka with Storm

Describe RDDs

Integrate Kafka with spark

Topics:

Apache Hadoop Basics

Kafka integration with Hadoop

Configuration of Storm

Apache spark basics

Kafka integration with spark

Hadoop configuration

Apache Storm basics

Integration of Kafka with Storm

Spark configuration

Under this chapter, the candidate will learn how to integrate Kafka with Flume, Cassandra, and Talend.

Skills:

Kafka integration with Cassendra

Kafka integration with Talend

Kafka integration with Flume

Objectives:

Understand Flume

Setup a flume agent

Understand Cassandra

Create a keyspace in Cassandra

Understand Talend

Integrate Kafka with Talend

Explain Flume architecture and its components.

Integrate Kafka with flume

Learn Cassandra database elements

Integrate Kafka with Cassandra

Create Talend Jobs

Topics:

Flume Basics

Cassandra basics such as and KeySpace and table creation

Talend Basics

Integrated Kafka with Flume

Integration of Kafka with Cassandra

Integration of Kafka with Talend

The Apache Kafka certification training course provides the skills to become a great prominent data developer to the candidate. During the training, we will provide the candidate with the knowledge of fundamental concepts, including Kafka and Kafka API clusters. This course also includes advanced levels such as Kafka Connect, Kafka Streams, Kafka integration with Hadoop, and Storm and Spark.

To learn the Kafka course along with the components.

To set up a Kafka cluster from one end to another. It also takes into consideration the Hadoop and YARN cluster.

The CertOcean's Apache Kafka certification training course will give you a clear idea about Kafka's Architecture, installation of Kafka, Configuration, and tuning performance. Also, the Client APIs of Kafka. 

THE minimum RAM required for the course is 4 GB, but one should go for 8 GB as per the suggestions.

25 GB should be free minimum disk space.

The processor should be i3 or above than that.

How can any candidate miss any lecture at the CertOcean's Apache Kafka when we provide them with two such unique options whatever of their choice! 

If a candidate misses any lecture, he/she can go through that later on in the recording part.

He/she can join the next live batch if the candidate misses the lecture of their batch.

We at CertOcean are known for our expertise and because of our experts. CertOcean institute for Apache Kafka has the best experts with 10 to 12 years of experience in the Information Technology (IT) sector and a fantastic learning experience.