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Apache Kafka Certification Training

Apache Kafka Certification Training

Name: Apache Kafka Certification Training
Item: Apache Kafka Certification Training
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Edureka's Apache Kafka Certification Training helps you in learning the concepts about Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring.
Apache Kafka Certification Training is designed to provide insights into Integration of Kafka with
Hadoop, Storm and Spark, understand Kafka Stream APIs, implement Twitter Streaming with Kafka,
Flume through real life cases studies.

7k+ satisfied learners Read Reviews

Why should you take Apache Kafka?

Kafka is used heavily in the Big Data space as a reliable way to ingest and move large amounts of data very quickly

LinkedIn, Yahoo, Twitter, Netflix, Uber, Goldman Sachs,PayPal, Airbnb & other fortune 500 companies use Kafka

The average salary of a Software Engineer with Apache Kafka skill is $87,500 per year. (Payscale.com salary data).

Instructor-led Apache Kafka live online classes

Jun 26 ^th

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Sat & Sun (5 Weeks) Weekend Batch

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Aug 28 ^th

Fri & Sat (5 Weeks) Weekend Batch

Timings - 09:30 PM to 12:30 AM (EDT)

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Curriculum

Introduction to Big Data and Apache Kafka

Goal: In this module, you will understand where Kafka fits in the Big Data space, and Kafka Architecture. In addition, you will learn about Kafka Cluster, its Components, and how to Configure a Cluster

Skills:

Kafka Concepts
Kafka Installation
Configuring Kafka Cluster

Objectives: At the end of this module, you should be able to:

Explain what is Big Data
Understand why Big Data Analytics is important
Describe the need of Kafka
Know the role of each Kafka Components
Understand the role of ZooKeeper
Install ZooKeeper and Kafka
Classify different type of Kafka Clusters
Work with Single Node-Single Broker Cluster

Topics:

Introduction to Big Data
Big Data Analytics
Need for Kafka
What is Kafka?
Kafka Features
Kafka Concepts
Kafka Architecture
Kafka Components
ZooKeeper
Where is Kafka Used?
Kafka Installation
Kafka Cluster
Types of Kafka Clusters
Configuring Single Node Single Broker Cluster

Hands on:

Kafka Installation
Implementing Single Node-Single Broker Cluster

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Kafka Producer

Goal: Kafka Producers send records to topics. The records are sometimes referred to as Messages. In this Module, you will work with different Kafka Producer APIs.

Skills:

Configure Kafka Producer
Constructing Kafka Producer
Kafka Producer APIs
Handling Partitions

Objectives:

At the end of this module, you should be able to:

Construct a Kafka Producer
Send messages to Kafka
Send messages Synchronously & Asynchronously
Configure Producers
Serialize Using Apache Avro
Create & handle Partitions

Topics:

Configuring Single Node Multi Broker Cluster
Constructing a Kafka Producer
Sending a Message to Kafka
Producing Keyed and Non-Keyed Messages
Sending a Message Synchronously & Asynchronously
Configuring Producers
Serializers
Serializing Using Apache Avro
Partitions

Hands On:

Working with Single Node Multi Broker Cluster
Creating a Kafka Producer
Configuring a Kafka Producer
Sending a Message Synchronously & Asynchronously

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Kafka Consumer

Goal: Applications that need to read data from Kafka use a Kafka Consumer to subscribe to Kafka topics and receive messages from these topics. In this module, you will learn to construct Kafka Consumer, process messages from Kafka with Consumer, run Kafka Consumer and subscribe to Topics

Skills:

Configure Kafka Consumer
Kafka Consumer API
Constructing Kafka Consumer

Objectives: At the end of this module, you should be able to:

Perform Operations on Kafka
Define Kafka Consumer and Consumer Groups
Explain how Partition Rebalance occurs
Describe how Partitions are assigned to Kafka Broker
Configure Kafka Consumer
Create a Kafka consumer and subscribe to Topics
Describe & implement different Types of Commit
Deserialize the received messages

Topics:

Consumers and Consumer Groups
Standalone Consumer
Consumer Groups and Partition Rebalance
Creating a Kafka Consumer
Subscribing to Topics
The Poll Loop
Configuring Consumers
Commits and Offsets
Rebalance Listeners
Consuming Records with Specific Offsets
Deserializers

Hands-On:

Creating a Kafka Consumer
Configuring a Kafka Consumer
Working with Offsets

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Kafka Internals

Goal: Apache Kafka provides a unified, high-throughput, low-latency platform for handling real-time data feeds. Learn more about tuning Kafka to meet your high-performance needs.

Skills:

Kafka APIs
Kafka Storage
Configure Broker

Objectives:

At the end of this module, you should be able to:

Understand Kafka Internals
Explain how Replication works in Kafka
Differentiate between In-sync and Out-off-sync Replicas
Understand the Partition Allocation
Classify and Describe Requests in Kafka
Configure Broker, Producer, and Consumer for a Reliable System
Validate System Reliabilities
Configure Kafka for Performance Tuning

Topics:

Cluster Membership
The Controller
Replication
Request Processing
Physical Storage
Reliability
Broker Configuration
Using Producers in a Reliable System
Using Consumers in a Reliable System
Validating System Reliability
Performance Tuning in Kafka

Hands On:

Create topic with partition & replication factor 3 and execute it on multi-broker cluster
Show fault tolerance by shutting down 1 Broker and serving its partition from another broker

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Kafka Cluster Architectures & Administering Kafka

Goal: Kafka Cluster typically consists of multiple brokers to maintain load balance. ZooKeeper is used for managing and coordinating Kafka broker. Learn about Kafka Multi-Cluster Architectures, Kafka Brokers, Topic, Partitions, Consumer Group, Mirroring, and ZooKeeper Coordination in this module.

Skills:

Administer Kafka

Objectives:

At the end of this module, you should be able to

Understand Use Cases of Cross-Cluster Mirroring
Learn Multi-cluster Architectures
Explain Apache Kafka’s MirrorMaker
Perform Topic Operations
Understand Consumer Groups
Describe Dynamic Configuration Changes
Learn Partition Management
Understand Consuming and Producing
Explain Unsafe Operations

Topics:

Use Cases - Cross-Cluster Mirroring
Multi-Cluster Architectures
Apache Kafka’s MirrorMaker
Other Cross-Cluster Mirroring Solutions
Topic Operations
Consumer Groups
Dynamic Configuration Changes
Partition Management
Consuming and Producing
Unsafe Operations

Hands on:

Topic Operations
Consumer Group Operations
Partition Operations
Consumer and Producer Operations

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Kafka Monitoring and Kafka Connect

Goal: Learn about the Kafka Connect API and Kafka Monitoring. Kafka Connect is a scalable tool for reliably streaming data between Apache Kafka and other systems.

Skills:

Kafka Connect
Metrics Concepts
Monitoring Kafka

Objectives: At the end of this module, you should be able to:

Explain the Metrics of Kafka Monitoring
Understand Kafka Connect
Build Data pipelines using Kafka Connect
Understand when to use Kafka Connect vs Producer/Consumer API
Perform File source and sink using Kafka Connect

Topics:
Considerations When Building Data Pipelines
Metric Basics
Kafka Broker Metrics
Client Monitoring
Lag Monitoring
End-to-End Monitoring
Kafka Connect
When to Use Kafka Connect?
Kafka Connect Properties

Hands on:

Kafka Connect

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Kafka Stream Processing

Goal: Learn about the Kafka Streams API in this module. Kafka Streams is a client library for building mission-critical real-time applications and microservices, where the input and/or output data is stored in Kafka Clusters.

Skills:

Stream Processing using Kafka

Objectives:

At the end of this module, you should be able to,
Describe What is Stream Processing
Learn Different types of Programming Paradigm
Describe Stream Processing Design Patterns
Explain Kafka Streams & Kafka Streams API

Topics:

Stream Processing
Stream-Processing Concepts
Stream-Processing Design Patterns
Kafka Streams by Example
Kafka Streams: Architecture Overview

Hands on:

Kafka Streams
Word Count Stream Processing

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Integration of Kafka With Hadoop, Storm and Spark

Goal: In this module, you will learn about Apache Hadoop, Hadoop Architecture, Apache Storm, Storm Configuration, and Spark Ecosystem. In addition, you will configure Spark Cluster, Integrate Kafka with Hadoop, Storm, and Spark.

Skills:

Kafka Integration with Hadoop
Kafka Integration with Storm
Kafka Integration with Spark

Objectives:

At the end of this module, you will be able to:

Understand What is Hadoop
Explain Hadoop 2.x Core Components
Integrate Kafka with Hadoop
Understand What is Apache Storm
Explain Storm Components
Integrate Kafka with Storm
Understand What is Spark
Describe RDDs
Explain Spark Components
Integrate Kafka with Spark

Topics:

Apache Hadoop Basics
Hadoop Configuration
Kafka Integration with Hadoop
Apache Storm Basics
Configuration of Storm
Integration of Kafka with Storm
Apache Spark Basics
Spark Configuration
Kafka Integration with Spark

Hands On:

Kafka integration with Hadoop
Kafka integration with Storm
Kafka integration with Spark

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Integration of Kafka With Talend and Cassandra

Goal: Learn how to integrate Kafka with Flume, Cassandra and Talend.

Skills:

Kafka Integration with Flume
Kafka Integration with Cassandra
Kafka Integration with Talend

Objectives:

At the end of this module, you should be able to,

Understand Flume
Explain Flume Architecture and its Components
Setup a Flume Agent
Integrate Kafka with Flume
Understand Cassandra
Learn Cassandra Database Elements
Create a Keyspace in Cassandra
Integrate Kafka with Cassandra
Understand Talend
Create Talend Jobs
Integrate Kafka with Talend

Topics:

Flume Basics
Integration of Kafka with Flume
Cassandra Basics such as and KeySpace and Table Creation
Integration of Kafka with Cassandra
Talend Basics
Integration of Kafka with Talend

Hands On:

Kafka demo with Flume
Kafka demo with Cassandra
Kafka demo with Talend

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Kafka In-Class Project

Goal: In this module, you will work on a project, which will be gathering messages from multiple

sources.

Scenario:

In E-commerce industry, you must have seen how catalog changes frequently. Most deadly problem they face is “How to make their inventory and price

consistent?”.

There are various places where price reflects on Amazon, Flipkart or Snapdeal. If you will visit Search page, Product Description page or any ads on Facebook/google. You will find there are some mismatch in price and availability. If we see user point of view that’s very disappointing because he spends more time to find better products and at last if he doesn’t purchase just because of consistency.

Here you have to build a system which should be consistent in nature. For example, if you are getting product feeds either through flat file or any event

stream you have to make sure you don’t lose any events related to product specially inventory and price.

If we talk about price and availability it should always be consistent because there might be possibility that the product is sold or the seller doesn’t want to sell it anymore or any other reason. However, attributes like Name, description doesn’t make that much noise if not updated on time.

Problem Statement

You have given set of sample products. You have to consume and push products to Cassandra/MySQL once we get products in the consumer. You have to save below-mentioned fields in Cassandra.

1. PogId

2. Supc

3. Brand

4. Description

5. Size

6. Category

7. Sub Category

8. Country

9. Seller Code

In MySQL, you have to store

1. PogId

2. Supc

3. Price

4. Quantity

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Certification Project

This Project enables you to gain Hands-On experience on the concepts that you have learned as part of this Course.

You can email the solution to our Support team within 2 weeks from the Course Completion Date. Edureka will evaluate the solution and award a Certificate with a Performance-based Grading.

Problem Statement:

You are working for a website techreview.com that provides reviews for different technologies. The company has decided to include a new feature in the website which will allow users to compare the popularity or trend of multiple technologies based on twitter feeds. They want this comparison to happen in real time. So, as a big data developer of the company, you have been task to implement following things:

• Near Real Time Streaming of the data from Twitter for displaying last minute's count of people tweeting about a particular technology.

• Store the twitter count data into Cassandra.

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Course Description

About the Course

Apache Kafka Certification Training is designed to provide you with the knowledge and skills to become a successful Kafka Big Data Developer. The training encompasses the fundamental concepts (such as Kafka Cluster and Kafka API) of Kafka and covers the advanced topics (such as Kafka Connect, Kafka streams, Kafka Integration with Hadoop, Storm and Spark) thereby enabling you to gain expertise in Apache Kafka.

Course Objectives

After the completion of Real-Time Analytics with Apache Kafka course at Edureka, you should be able to:

Learn Kafka and its components
Set up an end to end Kafka cluster along with Hadoop and YARN cluster
Integrate Kafka with real time streaming systems like Spark & Storm
Describe the basic and advanced features involved in designing and developing a high throughput messaging system
Use Kafka to produce and consume messages from various sources including real time streaming sources like Twitter
Get an insight of Kafka API
Understand Kafka Stream APIs
Work on a real-life project, ‘Implementing Twitter Streaming with Kafka, Flume, Hadoop & Storm

Why learn Apache Kafka ?

Kafka training helps you gain expertise in Kafka Architecture, Installation, Configuration, Performance Tuning, Kafka Client APIs like Producer, Consumer and Stream APIs, Kafka Administration, Kafka Connect API and Kafka Integration with Hadoop, Storm and Spark using Twitter Streaming use case.

Who should go for this Course?

This course is designed for professionals who want to learn Kafka techniques and wish to apply it on Big Data. It is highly recommended for:

Developers, who want to gain acceleration in their career as a "Kafka Big Data Developer"
Testing Professionals, who are currently involved in Queuing and Messaging Systems
Big Data Architects, who like to include Kafka in their ecosystem
Project Managers, who are working on projects related to Messaging Systems
Admins, who want to gain acceleration in their careers as a "Apache Kafka Administrator

What are the Pre-requisites for this Course?

Fundamental knowledge of Java concepts is mandatory. Edureka provides a complimentary course i.e., "Java Essentials" to all the participants, who enrolls for the Apache Kafka Certification Training

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Certification

Edureka’s Apache Kafka Professional Certificate Holders work at 1000s of companies like

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Apache Kafka Professional

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Testimonial Reviews

Janardhan SingamaneniPrincipal Data Engineer at Staples

I took kafka and datascience classes with EDUREKA and its overall nice. After thorough scanning of a ... Read More

Baskar Raj

Python & Kafka was excellent by Gyanender Verma. All the concepts was covered with no compromise. In ... Read More

Bhairav MehtaSenior Program Manager at Apple

Edureka is a revolution in Big Data training. I have taken 5 courses through Edureka from Hadoop, R, ... Read More

Tanmoy Kar

The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thi ... Read More

Chandra Bhushan KIT Consultant, Architect - Analytics in Karmanya Software Pvt Ltd, Hyderabad Area, India

Edureka has redefined the e-learning service with the help of technology. They have excellent facult ... Read More

Vishal PawarPMP Certified, Lead Consultant, HCL Technologies Ltd. Mumbai Area, India

edureka! is efficiently able to provide effective e-learning for Big Data. All the required material ... Read More

Video Reviews

Sabari Abhilash shares his Digital Marketing course experience and how it helped him upgrade his skill-sets to keep up with the changing digital landscape.

Shyam speaks about his learning experience with Edureka and how our DevOps Certification Training gave him the confidence to make a career shift.

Nidhi shares her Edureka learning experience and how our Python course helped her gain an edge in her job interviews and land a job.

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

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Project

What are the system requirements for this course?

Minimum RAM required: 4GB (Suggested: 8GB)
Minimum Free Disk Space: 25GB
Minimum Processor i3 or above
Operating System of 64bit
Participant’s machines must support a 64-bit VirtualBox guest image.

How will I execute the practicals?

We will help you to setup Edureka's Virtual Machine in your System with local access. The detailed installation guides are provided in the LMS for setting up the environment. For any doubt, the 24*7 support team will promptly assist you. Edureka Virtual Machine can be installed on Mac or Windows machine.

Which case studies will be a part of the course?

Case Study 1:

Stock Profit Ltd, India’s first discount broker, offers zero brokerage & unlimited online share trading in Equity Cash. Design a system to capture real-time stocks data from source (i.e. Yahoo.com) and calculate the profit and loss for customers who are subscribed to the tool. Finally, store the result in HDFS.

Case Study 2:

You are a SEO specialist in a company. You get an email from management wherein the requirement is to get Top Trending Keywords. You have to write the topology which can consume keywords from Kafka. You have given a file containing various search keywords across multiple verticals.

Case Study 3:

You have to build a system which should be consistent in nature. For example, if you are getting product feeds either through flat file or any event stream you have to make sure you don’t lose any events related to product specially inventory and price.

If we talk about price and availability it should always be consistent because there might be possibility that product is sold or seller doesn’t want to sell it anymore or any other reason. However, attributes like Name, description doesn’t make that much noise if not updated on time.

Case Study 4:

John wants to build an e-commerce portal like Amazon, Flipkart or Paytm. He will ask sellers/local brands to upload all their products on the portal so that users/buyers can visit portal online and purchase. John doesn’t have much knowledge about the system and he hired you to build a reliable and scalable solution for him where buyers and sellers can easily update their products.

Training Features

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes. Weekend Class: 10 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of Kafka concepts.

Assignments

Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.

Certification

edureka certifies you as an Apache Kafka expert based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

FAQ's

What if I miss a class?

You will never miss a lecture at Edureka! You can choose either of the two options:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Will I get placement assistance?

To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

Can I attend a demo session before enrollment?

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

Who are the instructors?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

What if I have more queries?

Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co

Why learn Apache Kafka?

Apache Kafka is one of the most popular publish subscribe messaging systems which is used to build real-time streaming data pipelines that are robust, reliable, fault tolerant & distributed across a cluster of nodes. Kafka supports a variety of use-cases which commonly include Website activity tracking, messaging, log aggregation, Commit log & stream processing. These are reasons why many giants such as Airbnb, PayPal, Oracle, Netflix, Mozilla, Uber, Cisco, Coursera, Spotify, Twitter, Tumblr are looking for professionals with Kafka skills. Getting Kafka certified will help you land your dream job.

What is the best way to learn Apache kafka?

Edureka’s Apache Kafka Certification Training is curated by industry experts and it covers in-depth knowledge on Kafka Producer & Consumer, Kafka Internals, Kafka Cluster Architecture, Kafka Administration, Kafka Connect & Kafka Streams. Throughout this online instructor-led Kafka Training you will be working on real-world Kafka use-cases belonging to finance, marketing and e-commerce domain, etc.

What is the career progression and opportunities in Apache Kafka?

Technology Giants & MNCs such as Airbnb, PayPal, Oracle, Netflix, Mozilla, Uber, Cisco, Coursera, Spotify, Twitter & Tumblr are looking for Kafka certified professionals. Not only this, SMEs are also using Apache Kafka to build real-time streaming data pipelines. This will also lead to exponential growth in number of Kafka jobs available in the market.

What are the skills needed to master Apache Kafka?

To master Apache Kafka, you need to learn all the concepts related to Apache Kafka – Kafka Architecture, Kafka Producer & Consumer, Configuring Kafka Cluster, Kafka Monitoring, Kafka Connect & Kafka Streams. Knowledge of Kafka integration with other Big Data tools such as Hadoop, Flume, Talend, Cassandra, Storm and Spark will be a plus point.

What is the future scope of Apache Kafka?

With the growth of Big Data and advent of Microservices the adoption of Apache Kafka is increasing exponentially. But the there is a huge lack of professionals with Kafka skills. If you are planning to make a career in Big Data domain, now is the right time to get Kafka certified. Get certified get ahead.

What is the price of this Apache Kafka training?

Apache Kafka Certification Training costs $349. Once you enroll with Edureka you get lifetime access to the course materials & a dedicated team of support ninjas who will be available 24x7 to clarify all your doubts & help you in executing your assignments & case-studies.

How can a beginner learn Apache Kafka?

Edureka Apache Kafka Certification Training is designed in such a way that it caters to both beginners & experts. You can leverage instructor’s knowledge who will be available throughout the training and will help you in understanding each concept thoroughly. Apart from that, we have 24x7 online support team to resolve all your technical queries.

Why take online Kafka Certification course? How is it better than offline course?

As the technology is evolving the learning techniques are also enhancing. Flexibility & Quality are the two important pillars of online training. The major benefits of an online Kafka Training over offline training are:

Latest Course Curriculum – The course curriculum frequently updates with changing industry demands & software updates.
Quality Instructors – You can connect & learn, each & every nuance of the technology from an expert around the world.
Learner’s Platform – You can connect with various learners across the globe & share your learning & ideas with them.
Real-life Projects & Case Studies – You will master the technology with the help of real-world projects & case studies.
Lifetime Access & 24x7 support – You will get lifetime access to the course content & 24x7 support for any doubts or errors.

What is the average salary for Kafka certified professional?

There are a lot of job opportunities for Apache Kafka professionals as it is adopted by both SME & big giants. The average salary of a Software Engineer with Kafka skills is $110,209 whereas a Senior Software Engineer and a Lead Software Engineer can expect average salaries of $131,151 and $134,369 respectively.

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Apache Kafka Certification Training

Why should you take Apache Kafka?

Instructor-led Apache Kafka live online classes

Financing Options

Curriculum

Introduction to Big Data and Apache Kafka

Kafka Producer

Kafka Consumer

Kafka Internals

Kafka Cluster Architectures & Administering Kafka

Kafka Monitoring and Kafka Connect

Kafka Stream Processing

Integration of Kafka With Hadoop, Storm and Spark

Integration of Kafka With Talend and Cassandra

Kafka In-Class Project

Certification Project

Course Description

About the Course

Course Objectives

Why learn Apache Kafka ?

Who should go for this Course?

What are the Pre-requisites for this Course?

Testimonial Reviews

Video Reviews

Project

What are the system requirements for this course?

How will I execute the practicals?

Which case studies will be a part of the course?

Training Features

Instructor-led Sessions

Real-life Case Studies

Assignments

Lifetime Access

24 x 7 Expert Support

Certification

Forum

FAQ's

What if I miss a class?

Will I get placement assistance?

Can I attend a demo session before enrollment?

Who are the instructors?

What if I have more queries?

Why learn Apache Kafka?

What is the best way to learn Apache kafka?

What is the career progression and opportunities in Apache Kafka?

What are the skills needed to master Apache Kafka?

What is the future scope of Apache Kafka?

What is the price of this Apache Kafka training?

How can a beginner learn Apache Kafka?

Why take online Kafka Certification course? How is it better than offline course?

What is the average salary for Kafka certified professional?

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