Learn Apache Flink In 45 Minutes - Apache Flink Tutorial For Beginners

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You will learn Apache Flink in this session which is new framework to process real time data and batch data . You will have understanding on multiple flink topics like what is apache flink, apache flink use cases, real time data processing using apache flink, batch data processing using apache flink, apache flink architecture and internals, how flink job works, spark vs flink, how flink is different from spark, apache flink features, benefits of apache flink, dataset api in flink, datastream api in flink, table api in flink, gelly in flink, flinkml, apache flink jobs monitoring through UI dashboards, word count example in apache flink and other detailed concepts of apache flink.

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It is very knowledgeable session. now i understand basics things about the flink

vipinjain
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Holy doly, today youtube is spaming me with adverts, lol.
Thanks for the content. It is very good explained imo.

Banefane
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A very good Presentation and Knowledge let down by the irritating white board, Please use excali draw

minutes
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Great job !! Appreciate your support in providing the info.

laxmikomarraju
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Thank you for making this video. Many of your content are so relevant with what I am doing, so helpful.

kevermean
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00:00 - What is Apache Flink
02:55 - Use Cases - Fraud Detection and Shopping offers
08:15 - Data Processing - Batch and Realtime
13:15 - Why is it popular?
21:14 - Architecture
35:50 - Execution Flow
38:45 - Monitoring
40:38 - Real Time Example
45:40 - Revisit

rushithakker
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excellent video! thank you for sharing. Can you please provide more videos about Flink?

majdoubwided
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Great video. Very very useful for Beginners.

selvam
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At the end you said wrong. Spark also supports stateful streaming with every micro-batch. So it will show "abc" as 2 if it comes twice.

sarfarazhussain
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The example you gave for word count in last part of the video, where you mentioned that spark count the word "abc" as 1 always but in your spark video you also mentioned that using the sliding window we can do aggregation and state is maintained. Did you mean that spark will just do the calculation on the window based and in the next sliding window it will do separate calculation and there won't be any relationship between first and second window ?

dharmendrabhojwani
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For the first 2o mins its just real-time and batch-data being explained, as part of use-case..

rahulpopat
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can you share link of pfd you are using

mohitbodhija
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Spark streaming global variable will count the value.

gravenguan
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good lecture, but subtitles would be nice

mhanlucky
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Good (y)
Well explained in simple words

ArjunKumar-geoz
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How does Flink even consider 2 like events the "same"? Isnt that logically flawed? How can two different things happening be the same thing having happened?

williamtolliver