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

Watch more videos on HadoopTraining:    • What is Big Data | What Is Hadoop and...  

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