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:
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Messaging Made Easy: AWS SQS Playlist
• Messaging Made Easy: A...
Extract data from an API Python , Talend
• Extract data from an A...
Documentation Link:
help.talend.co...
Talend Job:
github.com/Sat...
Check this playlist for more Data Engineering related videos:
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Apache Kafka form scratch
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Messaging Made Easy: AWS SQS Playlist
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Snowflake Complete Course from scratch with End-to-End Project with in-depth explanation--
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