Stream Processing 101 | Basics

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Real-time processing of data using stream processors has become a fundamental part of any system design. Let’s discuss some of the use cases and complexities related to stream processing.

We will also talk about Lambda architecture which is a system composed of both batch processing and stream processing.

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0:00 Unbounded Data
00:56 What is Streaming?
04:38 Real-Life Examples
06:25 Lambda Architecture (Batch + Stream?)
10:04 Outro

#kafka #streamProcessing #flink #systemDesign #programming #softwareDevelopment
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absolutely fantastic man ! all of your videos are easy to understand and helpful. Thanks dude

eskici
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Fantastic man !! I lately found ur channel, content regarding system design is top notch and precise to the point !!
Could you add these below things into ur video, Example what are the popular frameworks are being used for particular kind of jobs, Ex Starem processing, So what programming language will be the exact match, with this details it really fills the missing link in this valuable content.

Your kafka demo video is super helpful, because you have shown the glimpse of implementation, pls do these kind of tuts it really helps, Thanks a ton brother !!

bjugdbjk
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thanks sir for such simple yet comprehensive content, however if one is intrested adding a bit of streaming compononent to a simple webapp like those being built with solara /fast api in python , or shiny-based apps in R ? what is the best way going about that ? let say I want to let my function behind the app calculate / estimate certain relationship but based off real-time data (usually it comes with delay) like those being featured on nasa weather conditions or yahoo or on-line IoT data sources or simple news articles on FT? while not consuming minimum of memory possible !
I appreciate if you can provide some form of written / video-based content of how to at least go about that on conceptual / design level ?
your input is highly appreciated

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