Apache Kafka 101: Partitioning (2023)

► TRY THIS YOURSELF: cnfl.io/kafka-101-module-1
Learn how partitioning works in Apache Kafka. With partitioning, the effort behind storing, processing, and messaging can be split among many nodes in the cluster.
► For a COMPLETE IMMERSIVE HANDS-ON EXPERIENCE, go to cnfl.io/kafka-101-module-1
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ABOUT CONFLUENT
Confluent, founded by the creators of Apache Kafka®, enables organizations to harness the business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics, and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large-volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit confluent.io
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[@vinod187118]

finally i found the partition logic in this video. Thanks a lot for the crisp video tim.

[@sanjayb0886]

Very well done Tim - Thank you!

[@Neosam01]

man your style of explanation is just awesome..I mean how can you explain things so easily that too without much animation or something...one of the best instructor I must say

[@yohannistelila8879]

Thank you, crystal clear!

[@philipackerley5775]

Yet again Tim, rock solid short snappy overview.

[@tomydurazno6243]

Great video guys, very helpful!

[@timmyho1269]

Thank so much, it is so clearly

[@unny2708]

Thanks Tim.. This is best video over internet for those who just jumped in to Kafka....

[@azharmobeen]

It's simply a great explanation. Thanks Man

[@varunraj3736]

Very well explained ..thank you

[@aditya-desai]

What is the relation between events and messages?

[@Sulerhy]

incredible visualized video. Thank you so much

[@igorburilo3937]

good explanation, thanks!

[@vladvlad2798]

Amazing explanation!!

[@nazirzhumakhan]

clear explanation, thanks

[@Anbu_Sampath]

Best explanation for partition.

[@facusana]

what if we want to store information for each day in the NASDAQ stock market with ~3000 symbols and 1 billon of trades per day. Should we use one topic for each symbol or just one topic with handred of partitions?

[@matifibrahim]

Thanks to animation in this video now I better understand partition

[@RaushanKumar-co3wj]

awesome .

[@ireallylikeshoes]

Excellent explanation, but one thing that I see just about all videos lack is explaining WHY partitioning is useful and when it is not.