Create new account
Forgot Password
timezone settings
Big Data and Hadoop Developer
Rated 4.0/5 based on 157 Votes customer reviews

Big Data and Hadoop Training

  • Instructor Led Live online training
  • 30 hours immersive Hands-on training sessions
  • Training delivered by industry expert instructor
  • 100 days free access to the e-learning modules
  • Learn from the comfort of your home
100% Moneyback Guarantee
Any Questions? Contact Us

Online Classroom

Instructor Led Live Online Training
USD 1099 USD 999 Select Date & Enroll

Team / Corporate Training

Description

Big Data is an expression given to large volumes of data that organizations store and process. Hadoop, which is not less than a silver bullet, has become an integral part for storing, handling, evaluating and retrieving large volumes of data for companies working with Big Data in a variety of applications. The significance of Hadoop is evident from the fact that many global MNCs are using Hadoop and consider it as an integral part of their functioning.

Zeolearn’s Big Data and Hadoop training course is designed to help you to become a skilled Hadoop developer through a hands-on industry-based project. You will get comprehensive knowledge of core concepts and their implementation, as also an introduction to Cloudera and Hortonworks
.

Here’s what you will learn!

  • Get an introduction to Big Data and its uses in various sectors
  • Master the concepts of the Hadoop framework, its deployment in a cluster environment and high level scripting frameworks such as Pig and Hive to perform data analytics 
  • Understand the fault tolerance capacity of Hadoop and use the MapReduce feature to process large amounts of data in parallel, in a cost effective manner
  • Master the Hadoop file system, the different configurations of the Hadoop cluster and methods to optimize and troubleshoot
  • Understand best practices for Hadoop development 
  • Work on a real life Project on Big Data Analytics

Is this course right for you?

Data analysts, Software Professionals, Analytics Professionals, ETL developers, Project Managers, and students wanting to master Big data and Hadoop will benefit from this course.

What do you need to be familiar with?

Knowledge in any programming language or SQL or DBMS or UNIX

Highlights

Instructor Led Online Classes

Live interactive training from expert faculty, access the class from anywhere.

Learn by doing

Cement your learning through hands-on assignments where you will be mentored.

Flexible Schedule

Convenient weekday and weekend batches, making it easy to attend.

Money Back Guarantee

Not happy? Opt out within one day, and get a refund!

Your Satisfaction, Assured

At any point in the future, if you want to re-visit a topic that was not clear, you can attend for free in any of the upcoming batches.

Lifetime Access

Get lifetime access to your class recording to refresh your learning at any time in the future.

Curriculum

  1. Introduction to Big Data
  2. Dimensions of Big Data
  3. Big Data in Advertising
  4. Big Data in Banking
  5. Big Data in Telecom
  6. Big Data in eCommerce
  7. Big Data in Healthcare
  8. Big Data in Defense
  9. Processing options of Big Data
  10. Hadoop as an option
  1. What is Hadoop
  2. How Hadoop 1.0 Works
  3. How Hadoop 2.0 Works
  4. HDFS
  5. MapReduce
  6. What is YARN
  7. How YARN Works
  8. Advantages of YARN
  9. How Hadoop has an edge
  1. Sqoop
  2. Oozie
  3. Pig
  4. Hive
  5. Flume
  1. Working with HDFS
  2. Setting up VM Hadoop Environment
  3. Installing VMware Player
  4. Setting up the Virtual Environment (Virtual Machine User Accounts; Running a Hadoop Job; Accessing the VM via ssh; Shutting Down the VM) 
  1. Examining a Sample MapReduce Program With several examples
  2. Basic API Concepts
  3. The Driver Code
  4. The Mapper
  5. The Reducer

1.       Pig

  • What is Pig?
  • How Pig works?
  • Simple processing using Pig
  • Advanced processing using Pig
  • Pig hands on

2.       Hive

  • What is Hive?
  • How Hive works?
  • Simple processing using Hive
  • Advanced processing using Hive
  • Hive hands-on

3.       HBase

  • Introduction To Hbase
  • Row Distribution between region servers
  • Data Storage
  • HBase Master
  • HBase and Zookeeper
  • HBase Deployment
  • Installation of HBase
  • Configuration of HBase

4.       Sqoop

  • Getting Sqoop
  • A Sample Import
  • Database Imports
  • Performing an Export

5.       Oozie

  • What is Oozie?
  • How Oozie Works?

6.       Impala

  • What is Impala?
  • How Impala Works
  • Where Impala is better than Hive
  • Impala’s shortcomings
  • Impala hands-on
  1. Introduction- Cloudera
  2. Introduction -Hortonworks

faq

Big Data is an expression given to large volumes of data that organizations store process. However, the ever-increasing volumes of data are becoming very difficult for companies to store, retrieve and process data. The problem lies in the use of traditional systems to store enormous data.

Though these systems were running successfully a few years ago, with rising amount and complexity of data, these are soon becoming obsolete. Hadoop, offers the perfect solution for storing, handling, evaluating and retrieving large volumes of data for a variety of applications, which is why global giants in the fields of retail, banking and finance, social media and many other sectors are actively using Hadoop as part of their growth strategy.

Career prospects for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester to a Hadoop Architect, and so on. If you are excited about tackling and managing Big Data, then this course is just right for you.

After completing our course, you will be able to:

  • Comprehend Hadoop 2.x Architecture, NameNode High Availability etc.
  • Master the concepts of Hadoop Distributed File System and MapReduce Framework
  • Create a Hadoop Cluster
  • Know Data Loading Techniques using Sqoop and Flume
  • Develop programs in MapReduce and write complex MapReduce modules
  • Schedule jobs deploying Oozie
  • Implement HBase, MapReduce Integration, Advanced Usage and Advanced
  • Indexing
  • Implement best Practices for Hadoop Development 
  • Get hands-on experience on a Real Life Project on Big Data Analytics and gain
  • relevant Project Experience
  • Implement a Hadoop Project

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will works as a Hadoop developer on a Big Data project and will receive full support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

  • Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
  • You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You can attend our instructor-led live online classes from the convenience of your home or office, by logging into the virtual classroom on schedule. Classes are conducted via online live streaming, and the recordings will be made available for you a day later.

Please ensure you have:

Internet Speed: Minimum 1.0 Mbps connection, with uninterrupted availability
OS: Windows any version above XP SP3, or Mac any version above OS X 10.6

500 MHz processor, 256 MB Ram, 3 GB HDD (minimum)

Headset: A good headset with a microphone. You will be responding to the instructor’s questions as well as listening to the lectures.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

On successful completion of the training, you will get a Zeolearn Course completion certificate. You will be required to work on a project, and will receive detailed project specifications to develop a Big Data project. Your project will be reviewed by an expert and if deemed satisfactory, you will be awarded a certificate that grades your performance. In case your project is found unsatisfactory in your first attempt, you can take some extra help and rework on it at no extra cost.

No, you will not be required to refer to textbooks. The training is hands-on and all the course material and class recordings will be available on your dashboard. You will learn by working on a project. You will be supported by your mentor and can clarify doubts at any point of time. 

We always make sure that all our students are extremely satisfied with the training. However, if you find that it’s not working for you, you can discontinue immediately after your first session and request for a full refund within 7 business days from the class start date.

Please refer our Refunds policy for more details.

Please send in an email to hello@zeolearn.com, or contact us through any of the numbers at this link: http://www.zeolearn.com/contact-us  We will respond to your queries within 48 hours.

Corporates who have up-skilled their teams