How do I switch from QA to Big Data Hadoop while having little knowledge of Java?

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Learntek

yes.for big data java basic knowledge is helpfull
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Big Data Architect

Great that you have basic knowledge of Java. There are lot of openings with Hadoop and Big data testing space. Please call or message me for more details.
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basic knowledge of java is fine to start hadoop
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Hi jogendra. you can easily switch your job QA to hadoop and if you know java then its an advantage for you. if you want to move in hadoop the simple way you can do the certification where you can get knowledge and get the placement.
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Corporate Trainer

you have to get the knowledge about the Hadoop knowledge and Join the good institute..
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java basics is enough for learning the Big Data Developer Training
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Related Questions

I want a lady Hadoop Trainer.
Yes. Career bridge it services, one of the best training insitute in hyderabad. we provide lady trainer for ofline / online batches. Please call and contact @970-532-3377. So that you can get all the details about trainings and career guiidance.
Chandrika
Is there a list of the world's largest Hadoop clusters on the web?
No . As pf now Yahoo has tested with 5000 nodes . but there is no such information .
Nishant
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Hello, I have completed B.com , MBA fin & M and 5 yr working experience in SAP PLM 1 - Engineering documentation management 2 - Documentation management Please suggest me which IT course suitable to my career growth and scope in market ? Thanks.
If you think you are strong in finance and costing, I would suggest you a SAP FICO course which is definitely always in demand. if you have an experience as a end user on SAP PLM / Documentation etc, even a course on SAP PLM DMS should be good.
Priya
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what should I know before learning hadoop?
It depends on which stream of Hadoop you are aiming at. If you are looking for Hadoop Core Developer, then yes you will need Java and Linux knowledge. But there is another Hadoop Profile which is in demand...
Tina
What are the biggest pain points with Hadoop?
The biggest pain points with Hadoop are its complexity in setup and maintenance, slow processing due to disk I/O, high resource consumption, and difficulty in handling real-time data.
Anish
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