In this video, we are going to explore the fascinating world of incremental data processing within your S3 data lake using the power of SQS.
Discover how to efficiently handle and transform data as it flows into your data lake, ensuring that your pipelines remain optimized and data stays up-to-date.
We'll provide practical insights, tips, and examples to help you harness the potential of these tools and enhance your data management processes.
Prerequisite:
-------------------------
Messaging Made Easy: AWS SQS Playlist
https://youtube.com/playlist?list=PLjfRmoYoxpNqnWvkg8Ujx6TH6pUcGLseT&si=JKueyYjlQZM_wDHM
Extract data from an API Python , Talend
https://youtu.be/uG2fyyTC5Q0?si=czPzor9A7AxBqcJX
Documentation Link:
https://help.talend.com/r/en-US/8.0/amazon-sqs/amazon-sqs
Talend Job:
https://github.com/SatadruMukherjee/Data-Preprocessing-Models/blob/main/incremental_etl.zip
Check this playlist for more Data Engineering related videos:
https://youtube.com/playlist?list=PLjfRmoYoxpNopPjdACgS5XTfdjyBcuGku
Apache Kafka form scratch
https://youtube.com/playlist?list=PLjfRmoYoxpNrs0VmIq6mOTqXP52RfZdRf
Messaging Made Easy: AWS SQS Playlist
https://youtube.com/playlist?list=PLjfRmoYoxpNqnWvkg8Ujx6TH6pUcGLseT
Snowflake Complete Course from scratch with End-to-End Project with in-depth explanation--
https://doc.clickup.com/37466271/d/h/13qc4z-104/d4346819bd8d510
Explore our vlog channel:
https://www.youtube.com/@funwithourfam/videos
🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 THINGS to support my channel
LIKE
SHARE
&
SUBSCRIBE
TO MY YOUTUBE CHANNEL
