Introduction To Hadoop | What Is Hadoop And Big Data | Hadoop Tutorial For Beginners | Simplilearn

[@SimplilearnOfficial]

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[@PetritK10]

What is difference between Spark and Hadoop

[@SimplilearnOfficial]

The key difference between them lies in the approach to processing. Spark can do it in-memory, while Hadoop MapReduce has to read from and write to a disk. As a result, the speed of processing differs significantly.

[@PetritK10]

@@SimplilearnOfficial which one is better to learn for future jobs

[@SimplilearnOfficial]

Spark is 100 times faster than Hadoop MapReduce. The answer to your question lies in the detailed comparison between Spark and Hadoop. This comparison will let you know why Spark is 100x times faster than Hadoop and why it is a much more advanced computing engine. Apache Spark is an Open Source Big Data framework. Hope that helps!

[@joicegeorge4108]

is Hadoop a technique for controlling big data?

[@SimplilearnOfficial]

"Hi, Hadoop is used to handle big data. Hadoop is a framework that handles massive amounts of data that cannot be stored, processed, and analyzed using traditional methods. "

[@joicegeorge4108]

what is the minimum amount of data that is to be considered as big data?

[@SimplilearnOfficial]

"Hi, There is no specific limit to how big or small big data can be. This solely depends on your imagination and the data storage and processing capabilities. You can check the below link for reference - www.precisely.com/blog/big-data/how-big-is-big-data-definition-examples "