Big Data Hadoop Developer Training

Big Data and Hadoop Developer Training


Big Data Hadoop training will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get Trainerkart Hadoop certification at the end of the course.

Course name City1 Delivery Mode Workshop Date Batch Time price

Big Data Hadoop Developer Training

Big Data Hadoop Developer Training master the various components of Hadoop ecosystem like Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark. Get hands-on practice on CloudLabs by implementing real-life projects in the domains of banking, telecommunication, social media, insurance, and e-commerce. The course is aligned to Cloudera CCA175 certification. Big Data Hadoop Developer Training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data.

We also provide training in many other courses under Big Data And Analysis.

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Big Data Hadoop Developer Training

Classroom Training:

  • 32 hours of instructor-led training
  • 100% Money Back Guarantee*
  • 24 hours of self-paced learning videos
  • 5 real-life industry projects in banking, telecom, insurance, and e-commerce domains
  • Hands-on practice with CloudLabs
  • Includes training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
  • Aligned to Cloudera CCA175 certification exam

Online Instructor Led Training:

  • 32 hours of instructor-led training
  • 24 hours of self-paced learning videos
  • 5 real-life industry projects in banking, telecom, insurance, and e-commerce domains
  • Hands-on practice with CloudLabs
  • Includes training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark
  • Aligned to Cloudera CCA175 certification exam

Big Data Hadoop Developer Training

What are the System Requirements?

To do the projects just log on to CloudLabs given to you before starting the training.

Who are the trainers?

The training is delivered by highly qualified and certified instructors with relevant industry experience.

We offer this training in the following modes:

  1. Classroom: Physical classroom training for those who prefer to attend in-person open house training or onsite training.
  2. Live Virtual Classroom or Online Classroom: With online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format saves productivity challenges and decreases your time spent away from work or home.
  3. Online Self-Learning: In this mode, you will receive the lecture videos and you can go through the course as per your convenience.

Can I cancel my enrolment? Do I get a refund?

Yes, you can cancel your enrolment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

Are there any group discounts for classroom training programs?

Yes, we have group discount options for our training programs. Contact us using the form on the right of any page on the Trainerkart website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

Big Data Hadoop Developer Training

What’s the focus of this course?

Big Data Hadoop Developer Training course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. Big Data Hadoop Developer Training is packed with real-life projects and case studies to be executed in the CloudLab.

Mastering Hadoop and related tools: Big Data Hadoop Developer Training provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion.

Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form.

As a part of the Big Data Hadoop Developer Training course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce.  This Big Data course also prepares you for the Cloudera CCA175 certification.

What are the course objectives?

This Big Data Hadoop Developer Training will enable you to:
  • Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
  • Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
  • Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
  • Get an overview of Sqoop and Flume and describe how to ingest data using them
  • Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
  • Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
  • Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
  • Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
  • Gain a working knowledge of Pig and its components
  • Do functional programming in Spark
  • Understand resilient distribution datasets (RDD) in detail
  • Implement and build Spark applications
  • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
  • Understand the common use-cases of Spark and the various interactive algorithms
  • Learn Spark SQL, creating, transforming, and querying Data frames
  • Prepare for Cloudera Big Data CCA175 certification

Who should take this course?

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
  • Software Developers and Architects
  • Analytics Professionals
  • Senior IT professionals
  • Testing and Mainframe professionals
  • Data Management Professionals
  • Business Intelligence Professionals
  • Project Managers
  • Aspiring Data Scientists
  • Graduates looking to build a career in Big Data Analytics
Prerequisite: As the knowledge of Java is necessary for this course, we are providing a complimentary access to “Java Essentials for Hadoop” course.

What is CloudLab?

CloudLab is a cloud-based Hadoop and Spark environment lab that Trainerkart offers along with the course to ensure a hassle-free execution of the hands-on project which you need to complete in the Hadoop and Spark Developer course.

With CloudLab, you do not need to install and maintain Hadoop or Spark on a virtual machine. Instead, you’ll be able to access a preconfigured environment on CloudLab via your browser. This provides a very strong semblance to what companies are using today to increase their Hadoop installation scalability and availability.

Big Data Hadoop Developer Training

How to get certified?

To become a Certified Big Data Hadoop developer, you must fulfill the following criteria:
  • Complete any one out of the two projects provided in the course. Submit the deliverables of the project  to which will be evaluated by our lead trainer
  • Score minimum 80% in any one of the four simulation tests
  • Complete 85% of the course
  • When you have completed the course, you will receive a 3-month experience certificate for implementing the projects using Hadoop
  • It is mandatory that you fulfill both the criteria i.e., completion of any one Project and clearing the online exam with minimum score of 80%, to become a Certified Big Data Hadoop developer

Big Data and Hadoop Developer Certification

Lesson 1: Introduction to Big Data and Hadoop

  • Data explosion and the need for Big Data
  • Concept of Big Data
  • Basics of Hadoop
  • History and milestones of Hadoop
  • How to use Oracle Virtual Box to open a VM

Lesson 2: Hadoop Architecture

  • Use of Hadoop in commodity hardware
  • Various configurations and services of Hadoop
  • Difference between a regular and a Hadoop Distributed File System
  • HDFS architecture
  • Case Study

Lesson 3: Hadoop Deployment

  • Steps to install Ubuntu Server 14.04 for Hadoop
  • Steps involved in single and multi-node Hadoop installation on Ubuntu server
  • Steps to perform clustering of the Hadoop environment
  • Case Study

Lesson 4: Introduction to YARN and MapReduce

  • YARN architecture
  • Different components of YARN
  • Concepts of MapReduce
  • Steps to install Hadoop in Ubuntu machine
  • Roles of user and system
  • Case Study

Lesson 5: Advanced HDFS and MapReduce

  • Advanced HDFS and related concepts
  • Steps to decommission a DataNode
  • Advanced MapReduce concepts
  • Various joins in MapReduce
  • Case Study

Lesson 6: Pig

  • Concepts of Pig
  • Installation of a Pig engine
  • Prerequisites for the preparation of the environment for Pig Latin
  • Case Study

Lesson 7: Hive

  • Hive and its importance
  • Hive architecture and its components
  • Steps to install and configure Hive
  • Basics of Hive programming
  • Case Study

Lesson 8: HBase

  • HBase architecture
  • HBase data model
  • Steps to install HBase
  • How to insert data and query data from HBase
  • Case Study

Lesson 9: Commercial Distribution of Hadoop

  • Major commercial distributions of Hadoop
  • Cloudera Quickstart Virtual Machine or VM
  • Hue interface
  • Cloudera Manager interface

Lesson 10: ZooKeeper, Sqoop, and Flume

  • ZooKeeper and its role
  • Challenges faced in distributed processing
  • Install and configure ZooKeeper
  • Concept of Sqoop
  • Configure Sqoop
  • Concept of Flume
  • Configure and run Flume
  • Case Studies

Lesson 11: Ecosystem and its Components

  • Hadoop ecosystem structure
  • Different components and their roles in the ecosystem
  • Case Study

Lesson 12: Hadoop Administration, Troubleshooting, and Security

  • Command used in Hadoop programming
  • Different configurations of Hadoop cluster
  • Different parameters for performance monitoring and tuning
  • Configuration of security parameters in Hadoop
  • Case Study

22 reviews for Big Data and Hadoop Developer Training

  1. Excellent course to learn Hadoop concepts. Being new to the technology I can say the course has helped me to become confident in the subject. The instructor’s voice is very clear. Access to cluster to implement the concepts and also the assignments is very helpful. Questions are answered promptly. New chapters are also added. Very well worth the money.

  2. This is one of the best hadoop course I have taken. I have some interviews line up for hadoop/ big data related job. I will be going over this resources again. Thank you so much for such a wonderful course.

  3. It’s a great course even for beginners. I love the way they have made this course and how the instructor unfold each detail about every aspect of HADOOP.!

  4. Everything about the course (Instructor, course material, real world examples, etc ) is awesome. Strongly recommend to anyone who wants to learn and understand Hadoop.

  5. I will suggest this course to every professional who wants to learn and works on Big Data.
    The best thing about this course is the way instructor has covered each aspect of the covered topics. The connection with students is very effective and great.
    I will suggest to include any of the No-SQL DB (HBase, Cassandra, MongoDB).

  6. I appreciate giving practical examples in explaining the concept of Hadoop. I learned many techniques in optimizing several tools in Hadoop ecosystem like pig and hive. However I think the course focus too much on mapreduce which I think obsolete as of this time. Overall, it was a great. Thank you

  7. I was waiting to complete this course and share the review. When I enrolled for the course I had a feeling of uncertainty, I had question in my mind about contents of the course, Will instructor cover the topic in detail?Will i get the response to my queries? how will I practice? is it really worth? And today i can say all my questions are answered in positive way.
    I really liked the way instructor explained each small or big things in detail. Thank you

  8. Instructor explained the course topics with hands on projects , assignments and quizzes with a greater detail. Overall, it was good experience.

  9. The instructor is highly knowledgeable in Hadoop and its ecosystem and also clear when explaining the concepts. The examples and use cases are interesting and will make you appreciate the frameworks used in the big data world. This course concentrates equally on theory and practicals. After taking this, I also enrolled in their Hadoop Admin course.

  10. The examples discussed in the course are really helpful and gives you a real hands on experience in Hadoop. The instructor’s voice and accent is clear and easy to understand.
    The course could have been much better if we get a chapter on any NoSql data bases like HBase.

  11. Course is really helpful for fresh learners.
    I suggest you to add more real world applications and also if possible add the Java tutorials which are required to a hadoop developer.

  12. Great Course ,The instructor did an amazing job explaining every concept in detail.
    Recommended to anyone wants to learn about Hadoop.

  13. In the beginning, concepts are well explained at the high level. It makes easy to understand when detail level is explained. Excellent course to all starting from beginners to having some experience.

  14. The one best thing about the course is that it’s instructor is very experienced and knows each and every thing and describing with full energy to the audience. I didn’t feel at any time that he has missed some points. He has covered everything.
    I am looking forward to get the Hadoop interview guide and other related courses from your side.

  15. The course is really helpful in clearing the Bigdata Interviews with ease. Excellent coverage of topics within time bound without ignoring any important aspects of Hadoop Ecosystem.

  16. One of the best hadoop course, contents include awesome explanation of concepts. real time project to understand more details of hadoop.
    Thanks for making it more easy to learn hadoop.

  17. This is one of the best training on Hadoop one can find. Everything about the course is great. But i expected little bit more practical examples in explaining the concept of Hadoop.

  18. It was nice experience overall and understood the in depth theoretical and practical concepts about and Hadoop and its related technologies.

  19. The course is really great. The instructor goes into detail. The best part is the assignments and the lab cluster. You wont get this with other courses. Keep up the great work. Looking forward to see any courses in HBase.

  20. I should say it was great training sessions with the Instructor, He has been an amazing person and had a depth of knowledge about all concepts he was explaining and could able to give the real-time examples.

  21. The instructor is very clear and has a through knowledge of the subject. The coverage on pig and hive have been exceptional. I would definitely recommend this course to any one whose interested in learning Hadoop.

  22. One of the best courses on Hadoop. Clear concepts, sufficient theory and necessary practical demos make it real good. Would have been even better if we had Impala and HBase as well. Thanks team.

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