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

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

#HadoopvsSpark #HadoopAndSpark #HadoopAndSparkDifference #DifferenceBetweenHadoopAndSpark #WhatIsHadoop #WhatIsSpark #LearnHadoop #HadoopTraining #SparkTraining #HadoopCertification #SimplilearnHadoop #Simplilearn

➡️ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered

- Real-Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls


🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - [phone]

[SimplilearnOfficial]

Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

[julioquinones]

Amazing comparison! Thanks a lot! I’m beginning on this and your video is a really good start to learn more about Hadoop and Spark. Thanks again, man!

[ravitiwari]

Hey, Thank you so much all your knowledge sharing. I am able to perform very nice in all my interviews. Keep up the good work. More power to you.
Keep rocking!!!

[keyboardrambo]

dudes, you could've processed the audio to make it less shrill! It is piercing my eardrums

[pratibhasalunke]

Thank you so much.. Such clear comparison.. Too much help for me.. 🙌👍

[NilanMihindukulasooriya]

7:07 This is exactly what I was looking for. Every software product initial introduction should be this

[Matin-ctym]

I don't know whether what is this big data? is it a server that provide information or something else? I have many video of yours but still im confuse.

[halloffame]

Make a video on talend developer
And guidewire developer please

[mortkebab]

Audio sounds like a dentist's drill, very annoying.

[francoissc]

So right now, we could say that it is much more valuable to learn apache spark than hadoop, it is no longer worth learning hadoop?