Apache Kafka Certification Training in Tijuana, Mexico

  • Get certified in Apache Kafka from the comfort of your home and transform your career
  • Curated by industry experts, the course provides in-depth knowledge on Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring
  • 30 hours of Instructor-led Apache Kafka Online Classes with Hands-on practice with Cloud Lab
  • We guarantee great value at lowest price in the industry
Apache Kafka

Apache Kafka Training Options in Tijuana, Mexico

Online Self-Learning
  • Anytime, Anywhere: Learn whenever it is convenient to you
  • Learn through high quality presentations, quizzes, recordings of live classes; installation guide available in LMS
  • Course content created using real life case studies and live project
  • 24x7 customer support through email and ticket-based
  • Lifetime access to online Learning Management System (LMS)
USD 299 180
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Apache Kafka Certification Course Overview

Kafka is used heavily in the Big Data space as a reliable way to ingest and move large amounts of data very quickly. Encertify's Apache Kafka Certification Training helps you in learning the concepts about Kafka Architecture, Configuring Kafka Cluster, Kafka Producer, Kafka Consumer, Kafka Monitoring. This 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.

 

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.

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After the completion of Real-Time Analytics with Apache Kafka course at Encertify, 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

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.

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.

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

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

  • 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.

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.

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

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

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. Our Expert Team 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.

Apache Kafka Certification & Exam

Towards the end of the course, you will be working on a project. You will be certified as a Apache Kafka based on the project. Once you  successfully submit your Apache Kafka certification project, it will be reviewed by the expert panel. After a successful evaluation, you will be awarded Apache Kafka Expert certificate.

Why choose our Apache Kafka in Tijuana, Mexico?

Low Cost

Without compromising on quality, we have priced our Apache Kafka courses very competitively. We guarantee that you will find us more economical than other training providers.

Unmatched Quality

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best in class and free of any errors.

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Apache Kafka certification, but also to empower with best practices.

We achieve this by providing a unique blend of concepts, case studies, and simulations that guarantee our students know how to implement Kafka in their organizations.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

Most Popular

More than 7000 satisfied learners have taken this course to get certified as Apache Kafka expert.

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported—no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Apache Kafka Training Frequently Asked Questions

Yes, we do offer additional discounts to group and corporate training customers. Please email us at support@encertify.com to find out more about our group discount offerings.

The orientation class is a preparatory session which gives a basic overview of the course and also guides the learners about any software/license installation required for the course. This will prepare you for the actual class, which will start the next week. Attending the orientation class is optional.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to support@encertify.com to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email support@encertify.com to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained throughĀ ourĀ programs

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