- Course Introduction
Apache Kafka Certification Training
The course will help you in better leveraging Big Data Analytics.
Online
₹ 21420
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Apache Kafka Certification Training course is designed for people who want to upgrade their knowledge and proficiency in the field of Big Data. The course is especially recommended for developers and analytics professionals who are willing to upskill.
Candidates will be proficient in areas like the architecture, interfaces, installation, and configuration of Kafka open-source messaging. Also, candidates will gain a working knowledge of Apache Zookeeper, Kafka architecture, advanced concepts of Big Data, and the deployment of Kafka for the purpose of real-time messaging. Kafka, which was initially developed by LinkedIn and later added to Apache as an open-source project, is a petabyte-scale messaging platform capable of handling millions of messages in a second.
The Apache Kafka Certification Training course also prepares the students for the Confluent Certified Developer for Apache Kafka (CCDAK) certification provided by Confluent. The Apache Kafka Certification Training Course by Simplilearn is a key prerequisite for those aspiring to become Big Data Hadoop architects.
The highlights
- Industry-based case study
- Simulation exams
- Certification from simplilearn
- Free practice tests
- Comprehensive Curriculum
Program offerings
- Self-paced learning
- Industry case studies
- Simulation exams
- Practice paper
- Video learning
Course and certificate fees
Fees information
Apache Kafka Certification Training Course Fee Details:
Training Options | Fee |
Self-Paced Learning | ₹ 21,420 |
certificate availability
Yes
certificate providing authority
Simplilearn
Who it is for
The Apache Kafka Certification Training Course by Simplilearn is a significant course for those who wish to become Big Data Hadoop architects. Some common profiles include:
- Analytics Professionals
- IT Developers
- Project Managers
- Students
Eligibility criteria
Skills
To apply for the Apache Kafka Certification training course, candidates must have a prior knowledge of a messaging system and Java or any other messaging system. In addition, interested candidates must be familiar with Linux or Unix based systems.
Certification Qualifying Detail
In order to qualify for the Apache Kafka Certification Training Course Online, Apache Kafka Certification Training Course by Simplilearn, candidates will have to attend at least 85percent of the Kafka course and also complete one simulation test with at least 60 percent score.
What you will learn
After completing the Apache Kafka Certification Training course, students will become adept in skills like:
- Learn about Big data is, its uses, applications, and its role in the industry
- Excel in fundamental concepts of Kafka, its features, and its use cases
- Have a detailed understanding of the architecture of the messaging platform, and how the architecture is implemented
- Gain a working knowledge of the installation procedure of Kafka onto a system of your choice, along with the knowledge about its best possible configuration
- Learn about Kafka’s application in real-time messaging
- Use Kafka’s application to control high volumes of data, and enable the users to pass messages from one end to the other
The syllabus
Section 01 - Introduction to Apache KafkaPreview
Lesson 01 - Course Introduction
Lesson 02 - Big Data Overview
- Big Data Overview
Lesson 03 - Big Data Analytics
- Big Data Analytics
Lesson 04 - Messaging System
- Messaging System
Lesson 05 - Kafka Overview
Introduction and Features of Kafka
Kafka Usercases
Lesson 06 - Kafka Components and Architecture
Kafka Terminologies
Kafka Components
Kafka Architecture
Lesson 07 - Kafka Clusters
- Kafka Clusters
Lesson 08 - Kafka Industry Usecases
- Kafka Industry Usecases
Lesson 09 - Demo: Install Kafka and Zookeeper
DEMO: Install zookeeper
Demo: Install Kafka
Lesson 10 - Demo: Single Node Single-Multi Broker Cluster
DEMO: Setup A Single Node Single Broker Cluster
DEMO: Setup A multi Node Single Broker Cluster
Lesson 11 - Key Takeaways
- Key Takeaways
Section 02 - Kafka Producer
Lesson 01 - Overview of Producer and Its Architecture
- Learning Objectives
Lesson 02 - Kafka Producer Configuration
Kafka Producer Configuration
Kafka Producer Optional Configuration
Kafka Producer Configuration Objects
Demo: Create a Kafka Producer
Lesson 03 - Send Messages
- Sending Messages
Lesson 04 - Serializers
Serializers and Custom Serializers
Demo: Creating a Custom Serializer
Serializers Challenges and Serializing using Apache Avro
Demo: Serializing Using Apache Avro
Lesson 05 - Partitions
Partitions
Demo: Setup Custom Partition
Lesson 06 - Key Takeaways
- Key Takeaways
Section 03 - Kafka Consumer
Lesson 01 - Kafka Consumer - Overview, Consumer Groups and Partitioners
Overview of Kafka Consumers
Consumer Groups
Partition Rebalance and Creating a Consumer
Lesson 02 - Poll Loop
- Poll loop and it's functioning
Lesson 03 - Configuring Consumer
Kafka Consumer Configuration- Part One
Kafka Consumer Configuration- Part Two
Demo: Create Kafka Consumer
Lesson 04 - Commit and Offset
Commit and Offset
Ways of Committing Offset - Automatic Offset
Ways of Commiting Offset - Commit Current Offset
Ways of Commiting Offset - Asynchronous Commit
Ways of Commiting Offset - Combining Synchronous and Asynchronous Commits
Ways of Commiting Offset - Commit Specified Offset
Lesson 05 - Rebalance Listeners
- Rebalance Listeners
Lesson 06 - Consuming Records with Specific Offset
- Consuming Records with Specific Offset
Lesson 07 - Deserializers
Deserializers
Demo: Create and Use Custom Deserializer
Lesson 08 - Key Takeaways
- Key Takeaways
Section 04 - Kafka Operations and Performance Tuning
Lesson 01 - Learning Objectives
- Learning Objectives
Lesson 02 - Replications
Replication and Replica Types
Preffered Ladder, Request and Request Processing
Types of Requests
Lesson 03 - Storage
Partition Allocation, File Management and Segments
File Format, Index and Compaction
Lesson 04 - Configuration in Reliable System1
Kafka Reliability and Reliablity Methods
Broker Configuration for Replication One
Producer in Reliable System
Consumer in Reliable System
Lesson 05 - Key Takeaways
- Key Takeaways
Section 05 - Kafka Cluster Architecture and Administering Kafka
Lesson 01 - Learning Objectives
- Learning Objectives
Lesson 02 - Multi Cluster Architecture
Hub and Spokes Architecture and Active Active Architecture
Active-Standby Architecture and Stretch Clusters
Lesson 03 - MirrorMaker
MirrorMaker Configuration
MirrorMaker Deployment and Tuning
Demo: Setting up MirrorMaker
Lesson 04 - Administering Kafka
Administering Kafka - Topic Operations
Administering Kafka - Consumer Group Operations
Lesson 05 - Dynamic Configuration Changes
Dynamic Configuration Changes
Partition Management
Lesson 06 - Console Producer Tool
- Console Producer Tool
Lesson 07 - Console Consumer Tool
- Console Consumer Tool
Lesson 08 - Key Takeaways
- Key Takeaways
Section 06 - Kafka Monitoring and Schema Registry
Lesson 01 - Monitoring
Learning Objectives
Server or Infrastructure Monitoring and Application Monitoring
Kafka Monitoring
Kafka Broker Metrics - Under Replicated Partitions
Kafka Broker Metrics - Others
Topic and Partition Specific Metrics
Logging and Client Monitoring
Producer and Consumer Metrics
Quotas and Lag Monitoring
Monitoring Dashboard
Demo: Setting up Open Source Health Monitor
Lesson 02 - Kafka Schema Registry and Avro
- Kafka Schema Registry
Lesson 03 - Kafka Schema Registry Components
Kafka Component and Architecture
Kafka Schema Registry - Internal working and Use-cases
Lesson 04 - Kafka Schema Registry Working
Kafka Schema Registry Working
Demo: Using Kafka Schema Registry With Kafka
Lesson 05 - Key Takeaways
- Key Takeaways
Section 07 - Kafka Streams and Kafka Connectors
Lesson 01 - Kafka Stream Overview
Learning Objectives
Kafka Stream
Lesson 02 - Kafka Stream Architecture, Working and Components
Kafka Stream Architecture and Working
Kafka Stream Components
Kafka Stream Architecture Tasks, Threading Model and Local State Store
Kafka Stream Architecture - Record Buffer
Memory Management and Streaming Data Pipeline
Kafka Stream DSL
KStream Operations
KTable
KTable Operations
Aggregation and Windowing
Lesson 03 - Stream Concepts and Working
Processor Topology and Stream Processor
Stream and Processor APIs one
Processor APIs - Create Topology
Lesson 04 - Kafka Connectors
- Kafka Connectors
Lesson 05 - Kafka Connector Configuration
Standalone and Sink Connector Configuration
Running Kafka Connect
Kafka Connector Distributed Mode
HTTP Rest Interface
Demo: Kafka Connector
Demo: Create an Application using Kafka Streams
Lesson 06 - Key Takeaways
- Key Takeaways
Section 08 - Integration of Kafka with Storm
Lesson 01 - Apache Storm
Learning Objectives
Real-time Analytics
Lesson 02 - Apache Storm Architecture and Components
Apache Storm Architecture
Apache Storm Components
Lesson 03 - Apache Storm Topology
Apache Storm Topology
Apache Storm Topology - Execution Plan
Lesson 04 - Kafka Spout
- Kafka Spout
Lesson 05 - Integration of Apache Storm and Kafka
Integration of Apache Storm and Kafka
Demo: Simple Standalone Application using Kafka and Storm
Lesson 06 - Key Takeaways
- Key Takeaways
Section 09 - Kafka Integration with Spark and Flume
Lesson 01 - Introduction to Spark and It_s Components
Learning Objectives
Spark Components
Lesson 02 - Basics of Spark - RDD, Data Sets, and Transformation and Actions
RDD
RDD Operations - Transformation - Map, FlatMap and Filter
RDD Operations - Transformation - Join, Distinct, First and Take
RDD Operations - Actions
Data Sets and Spark Session
Data Sets and Spark Session Operations
Lesson 03 - Spark Stream
- Spark Stream
Lesson 04 - Spark Integration with Kafka
Spark Integration with Kafka
Demo: Running Small Standalone Application in Spark with Kafka
Lesson 05 - Flume
Flume
Flume Connectors
Lesson 06 -Flume Kafka to HDFS Configuration
Flume Kafka to HDFS Configuration
Demo: Creating Flume agent Sending data from Kafka to HDFS
Lesson 07 - Key Takeaways
- Key Takeaways
Section 10 - Admin Client and Securing Kafka
Lesson 01 - Admin Client
Learning Objectives
Demo: Perform Various Admin Tasks using Admin Client
Lesson 02 - Kafka Security
- Kafka Security
Lesson 03 - Kafka Security Components
Kafka Security Components
SASL
Lesson 04 - Configure SSL in Kafka
- Configure SSL in Kafka
Lesson 05 - Secure using ACLs
- Secure using ACLs
Lesson 06 - Key Takeaways
- Key Takeaways
Admission details
For Apache Kafka certification training course admission, visit the website and make the payment online through the following:
- MasterCard
- Visa Credit Card
- Debit Card
- Diner’s Club
- PayPal
- American Express
After the payment is done, you will automatically receive a payment receipt and access information through your registered email.
Filling the form
The Apache Kafka Certification Training Course by Simplilearn application process is mentioned below:
Step 1 - Visit https://www.simplilearn.com/apache-kafka-certification-training-course
Step 2 - Click on Enroll now button on the right side
Step 3 - Click Enrol now which will take you to a new page
Step 4 - If applicants have a coupon then they can simply apply or click on the Proceed button.
Step 5 - Then fill name, email, and contact number, and click on proceed
Step 6 - Pay the fee and save the receipt of the transaction for reference in future.
How it helps
With the demand of Apache Kafka growing at a rapid pace, the Apache Kafka Certification Training course will help the participants learn the in-demand technical skills which will help them establish themselves as an authority in the field of big data. Also, on average, certified professionals are offered with pay packages higher than that of the non-certified professionals.
The CCDAK or Confluent Certified Developer for Apache Kafka certification provides training to anyone looking for jobs in a big data-centric role.
FAQs
Who provides the Apache Kafka certification and how long it is valid for?
The Certified Developer for Apache Kafka (CCDAK) certification is given by Confluent, which is two years. Candidates will be required to recertify every two years.
What is the meaning of Apache Kafka?
Apache Kafka is an open-source software platform which is used for distributed stream-processing. It is developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java.
How to become a Kafka Developer?
Candidates can crack the Certified Developer for Apache Kafka (CCDAK) to become a certified Kafka developer.
How do I unlock my Apache Kafka training course certificate?
For students enrolled in online Self-Learning: a complete minimum of 85 per cent of the Apache Kafka certification training course and clear one simulation test securing a minimum score of 60 per cent