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Asked by Sourav Last Modified
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Go for Spark training. Spark has already started replacing Hadoop (Mapreduce in particular), and since you are already familiar with SQL, it will be easier for you. Python is a much-used language in BigData, but you don't need to learn. It is mainly used for ML / Data science projects. As for learning Spark, you need to know the fundamental concepts like distributed computing, the internals of Spark etc. All the best!
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My suggestion is don't get into Machine Learning if you have experience in Unix. Just because everyone started learning ML doesn't mean you should learn it. My advice to you is deep dive into UNIX. Learn C Programming along with UNIX. You have tons of opportunities in this if you become an expert in that field.
read less Sanjay D
IT Professional ( Technical Architect ) and visiting Faculty of renowned engineering college
Hi, being a Hadoop and Spark trainer for the last three years, I will advise you to learn any one of the programming languages either Java/Python/Scala, so that you can perform data analytics on Hadoop/Spark. Just Unix and SQL will not satisfy the need when it comes to Hadoop. According to your expertise, learn any one of the programming mentioned above.
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