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Is it worth to switch from manual testing to Hadoop?

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Technical Lead & Archiect - Azure & Databricks, Spark,Kafka,Snowflake,Scala,Pyspark,AWS Cloud,NoSQL

Yes..Here you can n build your career easily .it is good time to switch into hadoop . You should learn with some realtime experience.after learning u can work into analytics or testing also.programming knowledge is good . If u need support then let me know.
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Educate! Being smart is great!!!

Of course it is. You can have a long and bright career with Hadoop. Since Data Science and Analytics has become the most demanded technology, it is worth moving with right selection of Hadoop role. And also Unstructured data is growing nonstop across a variety of applications, in a wide range of formats,...
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Of course it is. You can have a long and bright career with Hadoop. Since Data Science and Analytics has become the most demanded technology, it is worth moving with right selection of Hadoop role. And also Unstructured data is growing nonstop across a variety of applications, in a wide range of formats, those companies that are best able to harness it and use it for competitive advantage are seeing significant results and benefits. That’s why more than 80% of the companies are using, implementing or keep on evaluating Hadoop. read less
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Big Data Architect

Yes, a lot. There is lot to offer under Hadoop which testing cant offer. Once you are into bigdata, there are lot of skills to catch in and each have their own speciality. Please let me know if you are interested.
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Yes it is worth. Firstly you need to gain interest on Big data and know what is the role of hadoop in big data. Next step you should decide where you will fit in on big data landscape like developer, analyst or testing. Once after you have chosen you interested role , learn the hadoop components...
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Yes it is worth. Firstly you need to gain interest on Big data and know what is the role of hadoop in big data. Next step you should decide where you will fit in on big data landscape like developer, analyst or testing. Once after you have chosen you interested role , learn the hadoop components which is required for that role. I would recommend you to take a certification from Cloudera or Hortonworks which will add more value to your profile. read less
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Hadoop is a fantastic area with a lot of opportunity. So, if you are a manual tester considering to switch to Hadoop, then you must not think any more and do so immediately. visit our detailed course page for online Hadoop training: https://www.edusmartskills.in/search?q=hadoop
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Software developer

yes it is... do give a kick start https://www.facebook.com/heuristicladder/
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Firstly you need to gain interest on Big data and know what is the role of hadoop in big data. Next step you should decide where you will fit in on big data landscape like developer, analyst or testing. Once after you have chosen you interested role , learn the hadoop components which is required for...
read more
Firstly you need to gain interest on Big data and know what is the role of hadoop in big data. Next step you should decide where you will fit in on big data landscape like developer, analyst or testing. Once after you have chosen you interested role , learn the hadoop components which is required for that role. I would recommend you to take a certification from Cloudera or Hortonworks which will add more value to your profile. Thanks !! read less
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What is the response by teachers for basic members?
It seems to be catching up. However the general figures are low.
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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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Can anyone suggest about Hadoop?
Hadoop is good but it depends on your experience. If you don't know basic java, linux, shell scripting. Hadoop is not beneficial for you.
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DBMS2 is the best personal database and analytics blog. Hortonworks’ blog is a must-read for Hadoop users. Cloudera also maintains an important Hadoop blog.
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