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Imp. points related to Kafka covered in this video :
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1)Topics are particular stream of data in Kafka
2)You can have as many topics as you want
3)A topic is identified by it's name
4)Topics are split in partitions
5)Each partition is ordered
6)Each message within a partition gets an incremental id , called offset
7)Offset only have a meaning for a specific partition
8)Order is guaranteed within a partition (not across partitions)
9)Data is kept only for a limited time (default is one week)
10)Once the data is written to a partition , it can't be changed (immutability)
11)Data is assigned randomly to a partition unless a key is provided
Prerequisite:
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Install and run Apache Kafka & integration with Python using kafka-python
• Install and run Apache...
Multiple Producer & Multiple Consumer in a Kafka Topic
• Multiple Producer & Mu...
Intuition on Log files in kafka & Kafka Brokers
• Intuition on Log files...
Broker Cluster and Zookeeper in Kafka
• Broker Cluster and Zoo...
Code used in this video is available in the comment section.
Check this playlist for more Data Engineering related videos:
• Demystifying Data Engi...
Snowflake Complete Course from scratch with End-to-End Project with in-depth explanation--
doc.clickup.com/37466271/d/h/...
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