Big Data and Hadoop Certification Training cover

Big Data and Hadoop Certification Training

 

 25 hours of video training        

 22 hours of hands-on practical experience

 Self-paced Instructor-Led               

 Training by Industry expert

 End-of-training Project

 Notes / Interview questions / Practice material

 Full Lifetime access

 Accessible on Website and App

 Certificate of Completion

7 Days 100% Money-Back Guarantee

Instructor: LearnOA

Language: English

Viewing Time: 100 Hours

₹15000 50% OFF

₹7499

7499

Quality education now comes with an affordable price tag. 

Learnoa presents Instructor-Led self-paced comprehensive technology training programs.
We give you the same experience as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
We give you the same quality as of a LIVE INSTRUCTOR-LED TRAINING PROGRAM.
You get the same experience and quality at a far lesser cost, with Learnoa! 
As a bonus, we also arrange for doubt clearing sessions with instructors, on learner’s request.
Isn’t it wonderful? 

 


Why should I take this training?

Big Data is one of the most sought after technologies in the market in today’s age. Almost every large company you might want to work at uses Hadoop in some or the other way, including Amazon, Ebay, Facebook and Google! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. Landing up with a career in the field of big data will be fulfilling your career expectations. Professionals who are working in this field can expect a very impressive salary, even newbies in this field can expect a comparatively heavy paycheck. 


Average Salary of Big Data Hadoop Developers is approximately $104,556 or approximately Rs. 73, 18,920 per annum (Indeed.com salary data).

 


Training Details

Big Data Hadoop Training program from Learnoa is designed to make you a certified Big Data practitioner by providing you with the detailed explanations for all the Big Data concepts and extensive hands-on training on Big Data concepts and Hadoop Ecosystem. This training program will prove to be a breakthrough in your career in the field of Big Data.

If you're a project manager who just wants to learn the buzzwords, there are sessions about the activities in the training that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, we'll challenge you with writing real scripts on a Hadoop system using Scala, Pig and Python. We will also get you well acquainted with Hive, HBase, MapReduce, etc. which will make you an expert in the field.

Using concepts as well as hands-on examples and case studies, this training will give you enough knowledge and experience to be able to know about real-time problems and solutions with more than 20 hours of training from experts in the industry 

 

What will you learn?

- Understand Big Data
- Understand what is Hadoop and how it works
- To Understand MapReduce Framework
- How to install and build a Hadoop Cluster from scratch
- Learn data ingestion techniques using Sqoop and Flume
- Process large data-sets with Big Data tools in order to extract information from seemingly diverse sources
- Query databases using MapReduce to create scalable, flexible and profitable solutions
- Execute data analytics using Pig, Hive and Sqoop
- Perform Integration with HBase and MapReduce
- To understand spark, commands, database, architecture.
- Work on a real-time Hadoop cluster
- Best practices for Hadoop development
- Practical Case-studies
- Learn real-world skill-set required to excel in any IT company
- Implement best practices for Hadoop development
- To perform on real-world Big Data Analytics Project
- Understand the use of best practices for Hadoop development Understand the use of best practices for Hadoop development
 

 

What else you will get?

Along with the training content, you will also get everything which is applicable from the following on this program:
- Codes Snippets
- Sample Programs
- Informational PPTs
- Installation and Configuration Guidelines
- Class Notes
- Interview Questions
- How-Tos
- Useful links
- Case studies
- Real-life examples
 

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