Sai Krishna Srirampur’s Post

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Building PeerDB - Fast, native data-movement for Postgres

This my favorite feature from this launch week. Transforming Postgres CDC changes on-the-fly opens up many powerful use cases such as masking, encryption, changing data formats, better load distribution, and so on. I'm sure you'll be surprised to see how simple PeerDB (YC S23) makes this—don't miss the demos in the blog! Also don't forget giving it a try! 😊 I would love to hear your feedback.

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📣 🎉 Launch Week Day 3: Today we are excited to announce Lua based row-level transformations as part of Postgres Change Data Capture (CDC) to Kafka and other message brokers. This feature unlocks many powerful use cases, such as: https://lnkd.in/gxjXz-fb 🔒 Masking PII Data: Obfuscate sensitive PII with tokens for enhanced privacy in Kafka. 🔄 Changing Data Format: Convert data into formats like Protobuf, JSON for optimized system handling. 📊 Generated Columns: Generate new values from existing data for real-time analysis enhancements. 🗂️ Unnesting JSONs: Flatten JSON elements into separate Kafka fields for improved usability. 🔀 Topic Routing: Direct CDC events to designated Kafka topics for targeted streaming. 🔐 Data Encryption: Encrypt sensitive data before Kafka entry to secure it during transit. Give it a try and we would love hear your feedback! 😊

Row-level transformations in Postgres CDC using Lua

Row-level transformations in Postgres CDC using Lua

blog.peerdb.io

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