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Reverse your ETL: Stream BigQuery data to Aiven for Apache Kafka® with continuous queries

Blog post from Aiven

Post Details
Company
Date Published
Author
Francesco Tisiot, Jobin George
Word Count
1,488
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

BigQuery continuous queries enable reverse ETL pattern by streaming enriched data from BigQuery back to operational data layers using Aiven for Apache Kafka®. This allows companies to benefit from curated and enriched datasets in real-time, feeding the data into streaming tools like Aiven for Apache Kafka®, making the enhanced information available to downstream systems. The integration of Google Cloud Pub/Sub with Apache Kafka enhances the ETL process by closing the loop between operational and analytical workflows, allowing users to leverage insights from analytics storage directly in their business applications.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 13 662 183 69 +35%
Real-time 13 2,676 708 189 +23%
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