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Pradosh Jena Big Data trainer in Bangalore

Pradosh Jena

Online Big Data Corses

Kundalahalli, Bangalore, India - 560066.

1 Student

Referral Discount: Get ₹ 500 off when you make a payment to start classes. Get started by Booking a Demo.

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Overview

I have industry experience of 6 years and I have experience of more than 2 years in big data (mapreduce,pig,hive,spark) in cloudera and hortonworks distribution.

Languages Spoken

Hindi

English

Address

Kundalahalli, Bangalore, India - 560066

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Teaches

Big Data Training
1 Student

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Big Data Training

3

Teaching Experience in detail in Big Data Training

I have a habit of sharing my knowledge and experience in big data to my fellow peers and seniors. I like giving session on different tools in the ecosystem of big data.

Reviews

No Reviews yet!

FAQs

1. Which classes do you teach?

I teach Big Data Class.

2. Do you provide a demo class?

Yes, I provide a free demo class.

3. How many years of experience do you have?

I have been teaching for 3 years.

Answers by Pradosh Jena (3)

Answered on 08/01/2016 Learn IT Courses/Big Data

Big Data and R will be a vast thing to cover all at once.As you said , you are a commerce graduate so the maximum chances that you must be good in statistics and numbers , so it's better to go for Statistics and R .Then you can surely learn hadoop to boost your profile in the market.
Answers 27 Comments
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Answered on 08/01/2016 Learn IT Courses/Big Data

ETL testing won't be sufficient enough to cover big data testing.In Big Data testing there are various components need to be tested e.g 1. Hadoop File System need to be tested 2. Transformations need to be tested 3. workflow needs to be tested If the project is mostly implemented in PIG and HIVE... ...more
ETL testing won't be sufficient enough to cover big data testing.In Big Data testing there are various components need to be tested e.g 1. Hadoop File System need to be tested 2. Transformations need to be tested 3. workflow needs to be tested If the project is mostly implemented in PIG and HIVE , then ETL kind of testing will be ok. But if the project is implemented in mapreduce/spark then additional testing need to be done. The cluster testing is also key to know status of all the nodes .
Answers 15 Comments
Dislike Bookmark

Answered on 08/01/2016 Learn IT Courses/Big Data

The future scope of Big Data is immense.I would suggest that you should focus on getting yourself well trained . The rest other things like money and positions will be taken care of . Being from DWH background won't be much of an issue but it's always good to have sound knowledge on scripting and java... ...more
The future scope of Big Data is immense.I would suggest that you should focus on getting yourself well trained . The rest other things like money and positions will be taken care of . Being from DWH background won't be much of an issue but it's always good to have sound knowledge on scripting and java .The best approach is attend a demo class and think and decide , " Am I ready to invest some good amount of time over three/four months in this?" . If the answer is yes then go ahead.
Answers 18 Comments
Dislike Bookmark

Teaches

Big Data Training
1 Student

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Big Data Training

3

Teaching Experience in detail in Big Data Training

I have a habit of sharing my knowledge and experience in big data to my fellow peers and seniors. I like giving session on different tools in the ecosystem of big data.

No Reviews yet!

Answers by Pradosh Jena (3)

Answered on 08/01/2016 Learn IT Courses/Big Data

Big Data and R will be a vast thing to cover all at once.As you said , you are a commerce graduate so the maximum chances that you must be good in statistics and numbers , so it's better to go for Statistics and R .Then you can surely learn hadoop to boost your profile in the market.
Answers 27 Comments
Dislike Bookmark

Answered on 08/01/2016 Learn IT Courses/Big Data

ETL testing won't be sufficient enough to cover big data testing.In Big Data testing there are various components need to be tested e.g 1. Hadoop File System need to be tested 2. Transformations need to be tested 3. workflow needs to be tested If the project is mostly implemented in PIG and HIVE... ...more
ETL testing won't be sufficient enough to cover big data testing.In Big Data testing there are various components need to be tested e.g 1. Hadoop File System need to be tested 2. Transformations need to be tested 3. workflow needs to be tested If the project is mostly implemented in PIG and HIVE , then ETL kind of testing will be ok. But if the project is implemented in mapreduce/spark then additional testing need to be done. The cluster testing is also key to know status of all the nodes .
Answers 15 Comments
Dislike Bookmark

Answered on 08/01/2016 Learn IT Courses/Big Data

The future scope of Big Data is immense.I would suggest that you should focus on getting yourself well trained . The rest other things like money and positions will be taken care of . Being from DWH background won't be much of an issue but it's always good to have sound knowledge on scripting and java... ...more
The future scope of Big Data is immense.I would suggest that you should focus on getting yourself well trained . The rest other things like money and positions will be taken care of . Being from DWH background won't be much of an issue but it's always good to have sound knowledge on scripting and java .The best approach is attend a demo class and think and decide , " Am I ready to invest some good amount of time over three/four months in this?" . If the answer is yes then go ahead.
Answers 18 Comments
Dislike Bookmark

Pradosh Jena describes himself as Online Big Data Corses. He conducts classes in Big Data. Pradosh is located in Kundalahalli, Bangalore. Pradosh takes Online Classes- via online medium. He has 3 years of teaching experience . HeĀ is well versed in Hindi and English.

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