Big Data vs Hadoop | Big Data and Hadoop Differences | Intellipaat – YouTube

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In this video on Big Data vs Hadoop you will understand about the Big Data and Hadoop differences which most of the people find confusing and how it is related to each other. So in this Hadoop vs Big Data comparison some important parameters have been taken into consideration to tell you the difference between Hadoop and Big Data in detail.
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📝Following topics are covered in this Hadoop vs Spark comparison tutorial:

📰Interested to learn big data hadoop still more? Please check similar hadoop blogs here: https://goo.gl/N9rMu9

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What do you think which one of them is better among Hadoop vs Spark according to you? Tell us in the comment section below.

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Why Hadoop is important

Big data hadoop is one of the best technological advances that is finding increased applications for big data and in a lot of industry domains. Data is being generated hugely in each and every industry domain and to process and distribute effectively hadoop is being deployed everywhere and in every industry.

Why Spark is important

Today there is a widespread deployment of Big Data. With each passing day the requirements of enterprises increases and therefore there is a need for a faster and more efficient form of processing data. Most of the data is in unstructured format and it is coming in thick and fast as streaming data.Apache Spark is seeing widespread demand with enterprises finding it increasingly difficult to hire the right professionals to take on increasingly challenging roles in real world scenarios. It is a fact that today the Apache Spark community is one of the fastest Big Data communities with over 750 contributors from over 200 companies worldwide.


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Author: Aprit Dixit

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