What Is Apache Spark? | Apache Spark Tutorial | Apache Spark For Beginners | Simplilearn
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- Опубликовано: 20 май 2024
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This video on What Is Apache Spark? covers all the basics of Apache Spark that a beginner needs to know. In this introduction to Apache Spark video, we will discuss what is Apache Spark, the history of Spark, Hadoop vs Spark, Spark features, components of Apache Spark, Spark core, Spark SQL, Spark streaming, applications of Spark, etc.
Below topics are explained in this Apache Spark Tutorial:
00.00 Introduction
00:41 History of Spark
01:22 What is Spark?
02:26 Hadoop vs Spark
05:29 Spark Features
08:27 Components of Apache Spark
10:24 Spark Core
11:28 Resilient Distributed Dataset
18:08 Spark SQL
21:28 Spark Streaming
24:57 Spark MLlib
25:54 GraphX
27:20 Spark architecture
32:16 Spark Cluster Managers
33:59 Applications of Spark
36:01 Spark use case
38:02 Conclusion
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Introduction to Apache Spark:
Apache Spark Is an open-source cluster computing framework that was initially developed at UC Berkeley in the AMPLab. As compared to the disk-based, two-stage MapReduce of Hadoop, Spark provides up to 100 times faster performance for a few applications with in-memory primitives. This makes it suitable for machine learning algorithms, as it allows programs to load data into the memory of a cluster and query the data constantly. A Spark project contains various components such as Spark Core and Resilient Distributed Datasets or RDDs, Spark SQL, Spark Streaming, Machine Learning Library or Mllib, and GraphX.
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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!
what kind of projects can i do and where can i find the videos to a guide for them?
Thank you for such informative video. I would have liked to learn more concrete examples from use cases. The high level marketing info "spark helps increase video delivery quality" doesn't really mean anything
Eloquently explained the basics of spark! Amazing effort, thank you!
Glad it was helpful!
Very well explained! Thank You so much for the post. Cheers!
Glad it was helpful!
The best summarized video on spark basics, kudos to the author for choice of words and presentation!!
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Excellent explanation! Thank you so much for sharing your knowledge!
Glad it was helpful!
One of the best explanation I had untill now great work 👍🏻
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Very well explained!!Thank You so much for this!
Glad it was helpful!
Excellent episode, very high level, very well explained, thanks a lot!
Glad you liked it!
Thank you very much for this video - a perfect complete overview.
Glad it was helpful!
Really well explained. Thank you!
Glad it was helpful!
Great video! The concepts are very well illustrated and articulated.
Thank you kindly!
Finally, a video that I could understand.. Thanks
Hello thank you for watching our video .We are glad that we could help you in your learning !
Thank you for this!
Glad it was helpful!
Excellent video! thank you!
Thank you for the appreciation. You can check our videos related to various technologies and subscribe to our channel to stay updated with all the trending technologies.
Can we also use Spark for collecting Data from Unstructured files like log file of low level Sytems like PLC's?
I enjoyed the video series and the details put by the author. One feedback which I would like from speaker is he needs to make pauses to engage with the audience. Also variation of tone will help. But apart from these minor comments and being technologist myself, I really appreciate the content and speaker to put such great detail into all these videos.
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!
Great video ! Thank you very much !
You are welcome!
Excellent Video, explained well at high level, clears lot of basic concepts.
Glad it was helpful!
Very useful. Well explained. Thank you
Glad it was helpful!
Simpli-Amazing!
Glad you like it!
It's a great video for beginners like me
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
good explanation and very clear to understand thank you
Glad it was helpful!
A Very Nice Video. Gives a good understanding.
Glad it was helpful!
Very Informative. Nicely explained!
Glad it was helpful!
Really wonderful sir.
Many thanks
Really great video!!
Thank you!
Great video!
Thanks a lot.
Glad you liked it!
Awesome video to give a gist of spark..
Glad you liked it!
Wonderful job!
Thank you! Cheers!
best video on Spark !
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thank you so much ,Sir...!!
Most welcome!
Well explained
Thank you!
thank you for a great vedio
You are welcome!
Good stuff.
It is our pleasure! Check out for more in-depth tutorials: ruclips.net/video/CKLzDWMsQGM/видео.html! Happy learning!
Very nicely explained.. Thanks
Our pleasure
Very well explained
Glad it was helpful!
Excellent!!!
Thank you! Cheers!
What does statically typed/dynamically inferred mean?
Thank you Mr Farhan Akhtar for the narration
Just WoW
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would it be a plus point for a data analysist to learn apache spark?..
Definitely!
very nice !!
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apache spark and spark framework both r same or different ?
Cool
Thanks for watching. Cheers!
Gets a little confusing from Spark Architecture. Otherwise great work, thank you.
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x100 times faster with smaller sets of data, but with big data should be x3 times faster
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Hadoop is slow because it's written in Java?!!!! It's slow because of the model it uses NOT java specifically. Spark - like Hadoop - is running on the JVM as well, so performance is NOT AT ALL related to the used language!
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Great material, great presentation, but lecturer had no excite in his voice and it made the video a bit boring.
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🙏👍
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hi everyone who watched this video!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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I think presenter mixed up between transient and resilient.
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The whole time he was saying "result" I thought he was saying desert. -__________________-
Sorry for the bad experience. We will look into your feedback.
I had an Asian teacher in college, who pronounced result as...rejert. Her Engerish wasn't that bad either. It took me almost half the semester before I realized rejert wasn't part of the terminology.
"RUclips has data which is worth watching 10 years"
This is not English.
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Shut up!