Apache Spark Architecture | Apache Spark Architecture Explained | Apache Spark Tutorial |Simplilearn

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This video on Spark Architecture will give an idea of what is Apache Spark, the essential features in Spark, and the different Spark components. You will learn about Spark Core, Spark SQL, Spark Streaming, Spark MLlib, and Graphx. You will understand how Spark processes an application. Finally, you will perform a demo on Apache Spark.
Below are the topics covered in this Apache Spark Architecture Video:
0:00 Start
0:30 What is Apache Spark?
3:30 Spark Components
5:54 Spark Core
6:36 Spark RDD
10:18 Spark SQL
17:36 Spark Streaming
22:01 Spark MLlib
23:49 GraphX
25:38 Spark Architecture
30:40 Running a Spark Application
41:45 How a Spark application runs on a cluster?
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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.
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✅ Skills Covered
- Real-Time Data Processing
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- Apache Hadoop
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[@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!

[@quanghuyiep]

your lecture videos are really so good. thank you for the free content.

[@SimplilearnOfficial]

You're very welcome!

[@alexyeo7966]

Incredible video. Thank you for the free content!

[@SimplilearnOfficial]

Our pleasure!

[@ThePraseedPai]

A very good video ...One with conceptual depth

[@SimplilearnOfficial]

Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@rooftopkitchengardeningbyh1132]

great really great

[@SimplilearnOfficial]

Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

[@chandrakanth2640]

Hi, I have question, if i have 10 transformation and an action then 10 transformations and an action and then 10 transformations and an action. This is sequential in my program in spark. how this will be performed in spark?

[@vijayendrasdm]

You just show one executor on the worker node. But in practice , there can be multiple executor on one machine/worker node ? Am I correct?

[@finalfantasy82]

Thanks. Maybe have a sip of water once a while, while you are speaking =)

[@SimplilearnOfficial]

Haha! Thanks for the feedback though.