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What is a good bigdata pre-processor to Apache Spark?

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My teaching experience 12 years

Before the arrival of Apache Spark, Hadoop MapReduce was the most popular option for handling big datasets using parallel, distributed algorithms. MapReduce has a multi-step, sequential process for job execution
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Before the arrival of Apache Spark, Hadoop MapReduce was the most popular option for handling big datasets using parallel, distributed algorithms. MapReduce has a multi-step, sequential process for job execution
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Online Mathematics tutor with 4 years experience(Online Classes for 10th to 12th)

Before the arrival of Apache Spark, Hadoop MapReduce was the most popular option for handling big datasets using parallel, distributed algorithms. MapReduce has a multi-step, sequential process for job execution.
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Related Questions

Which is better to learn, Apache Spark or Apache Flink?
If you want to shape up your career for next 4-5 years, go for Apache Spark. Knowing Hadoop would be a big plus. Since Spark ecosystem integrated with YARN.
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How big data development knowledge will help big data testing. What are the requirements for BIG data testing. Does ETL testing cover big data?
Hello Ashok, You will first need to understand the fundamentals of hadoop and some linux commands. For testing map reduce jobs,you will have to understand flow of map and reduce and then verifying...
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What are the top three institutes in Kolkata that provide Big Data Training? What are the areas I should look into while a course and institute for Big Data Training?
Don't thing institutional training is very good. Ask for real time practice, POC, and Preparation for the interview.
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