What is the difference in idea, design and code, between Apache Spark and Apache Hadoop?

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Meenu Sharma

Apache Spark is designed as an interface for large-scale processing, while Apache Hadoop provides a broader software framework for the distributed storage and processing of big data
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Hadoop's MapReduce model reads and writes from a disk, thus slowing down the processing speed. Spark reduces the number of read/write cycles to disk and stores intermediate data in memory, hence faster-processing speed. Hadoop is designed to handle batch processing efficiently.
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My name is Rajesh , working as a Recruiter from past 6 years and thought to change my career into software (development / admin/ testing ) am seeking for some suggestion which technology I need to learn ? Any job after training ? Or where I can get job within 3 months after finishing my training programme- your advices are highly appreciated
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Can anyone suggest about Hadoop?
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Cloudera is preferred as MapR is discontinued and Cloudera offers strong support and integration.
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I want to take online classes on database/ ETL testing. Also i look forward to teach Mathematics/Science for class X-XII
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