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

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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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java basics is enough for learning the Big Data Developer Training
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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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Related Questions

Which is easy to learn for a fresher Hadoop or cloud computing?
Hadoop is completely easy . You can learn Hadoop along with other ecosystem also . If you need any support then feel free contact me on this . i can help you to lean Hadoop in very simple manner .
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Which Hadoop course should I take?
It is always better to take the help of an instructor. Go to an institue or take an online course. When you decide to learn Hadoop. You need to start with understanding Hadoop's architecture and its abilities,...
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I want to pursue career in Data Analyst i.e. Hadoop, currently working in testing professional from last 4 year. Please let me know what�s the opportunity and is my work experience is considerable in Hadoop. Also let me know what need to be prepare for that. Please guide me. Thanks in advance.
Sachin, YEs your work experience will consider as total IT experience. But you need to prepare BigData Hadoop analytic from scratch(start-to end). That means you need to know Hadoop as BigData Hadoop developer...
Sachin

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How Big Data Hadoop and its importance for an enterprise?
In IT phrasing, Big Data is characterized as a collection of data sets (Hadoop), which are so mind boggling and large that the data cannot be easily captured, stored, searched, shared, analyzed or visualized...

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