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Apache Kafka Certification Training

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Kafka is an open-source stream processing platform. Kafka can be integrated with Spark, Storm and Hadoop. Learn about Kafka Architecture, setup Kafka Cluster, understand Kafka Stream APIs, implement Twitter Streaming with Kafka, Flume, Hadoop and Storm.

Why this course ?


  • 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

  • 128K + satisfied learners. Reviews

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Course Duration

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Towards the end of the training, you will be working on a project where you will implement the techniques learnt to visualize.

Assignments

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

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.

Forum

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

This Hadoop training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop ecosystem and best practices about HDFS, MapReduce, HBase, Hive, Pig, Oozie, Sqoop. This course is stepping stone to your Big Data journey and you will get the opportunity to work on a Big data Analytics project after selecting a data-set of your choice. You will get Avvacado Tech Info  Hadoop certification after the project completion.

The Avvacado Tech Info hadoop training is designed to help you become a top Hadoop developer. During this course, our expert instructors will train you to- 

  • Master the concepts of HDFS and MapReduce framework
  • Understand Hadoop 2.x Architecture
  • Setup Hadoop Cluster and write Complex MapReduce programs
  • Learn data loading techniques using Sqoop and Flume
  • Perform data analytics using Pig, Hive and YARN
  • Implement HBase and MapReduce integration
  • Implement Advanced Usage and Indexing
  • Schedule jobs using Oozie
  • Implement best practices for Hadoop development
  • Understand Spark and its Ecosystem
  • Learn how to work in RDD in Spark
  • Work on a real life Project on Big Data Analytics

Big Data & Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015 - Forbes

McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts - Mckinsey Report

Avg salary of Big Data Hadoop Developers is $135k - Indeed.com Salary Data.

Market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. 
Here are the few Professional IT groups, who are continuously enjoying the benefits moving into Big data domain:

  • Developers and Architects
  • BI /ETL/DW professionals
  • Senior IT Professionals
  • Testing professionals
  • Mainframe professionals
  • Freshers


Hadoop practitioners are among the highest paid IT professionals today with salaries ranging till $85K (source: indeed job portal), and the market demand for them is growing rapidly.

You can check a blog related to Why Choose Hadoop As a Career? Also, once your Hadoop training is over, you can check the Top interview questions related Avvacado Tech Info  blog.

Real-time Analytics is the new market buzz and having Apache Spark skills is a highly preferred learning path after the Hadoop training. Check out the upgraded Spark Course details.

As such, there are no pre-requisites for learning Hadoop. Knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush-up Core-Java skills, Avvacado Tech Info offer you a complimentary self-paced course, i.e. "Java essentials for Hadoop" when you enroll in Big Data Hadoop Certification course.

Learning Objectives - In this module, you will understand Big Data, Kafka and Kafka Architecture.

Topics - Introduction to Big Data, Big Data Customer Scenarios, What is Kafka? Need for Kafka, Core Concepts of Kafka, Kafka Architecture, Where is Kafka Used?

Learning Objectives - In this module, you will be instructed about the details of Kafka Cluster and you learn all the components of Kafka Cluster in detail.

Topics - Understanding the components of Kafka Cluster, Installation of Kafka Cluster, Configuring Kafka Cluster, Producer of Kafka, Consumer of Kafka, Producer and Consumer in Action.

Learning Objectives - In this module, you will understand Kafka Operations and Performance Tuning.

Topics - Offset, Design, Hardware, Kafka Monitoring and Issues, Kafka Performance Tuning, Reading data from Kafka, Demo-Twitter Kafka Producer, Introduction to Scala, Mixed Paradigm-Functional Programming, Scala Installation & Configuration, Scala REPL, Scala Project Using Eclipse.

Learning Objectives - In this module, you will understand how to integrate Kafka with Big Data frameworks like Hadoop and Storm. 

Topics - Understanding the Hadoop Cluster, Integrating Kafka with Hadoop Cluster, Understanding Apache Storm, Implementing Spouts and Bolts, Kafka with Storm Spout.

Learning Objectives - In this module, you will understand Spark Ecosystem, Configuring Spark Cluster, Integrating Kafka with Spark and Twitter, Use cases with Kafka, Storm and Hadoop.

Topics - Ecosystem of Spark, Understanding the Spark Cluster, Integrating Kafka with Spark.

Project : Twitter Streaming with Kafka, Storm and Hadoop.