Hadoop vs Spark | Hadoop And Spark Difference | Hadoop And Spark Training | Simplilearn

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Hadoop and Spark are the two most popular big data technologies used for solving significant big data challenges. In this video, you will learn which of them is faster based on performance. You will know how expensive they are and which among them is fault-tolerant.  You will get an idea about how Hadoop and Spark process data,  and how easy they are for usage. You will look at the different languages they support and what's their scalability. Finally, you will understand their security features, which of them has the edge over machine learning. Now, let's get started with learning Hadoop vs. Spark.

We will differentiate based on below categories
1. Performance  00:52
2. Cost  01:40
3. Fault Tolerance  02:31
4. Data Processing  03:06
5. Ease of Use  04:03
6. Language Support  04:52
7. Scalability    05:55
8. Security  06:38
9. Machine Learning   08:02
10. Scheduler  08:56

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