dm03514
Joined 14 years ago
Joined 14 years ago
I've been working in data space for ~7 years now. I drank the ELT koolaid and then painful learned about its inefficiencies. I'm trying to build tools that take an SRE/DevOps approach to data infrastructure!
I'm building a pipeline tool SQLFlow that aims to enable DevOps for data:
- Configuration Driven - CI Test framework integrated - First class metrics and monitoring
https://github.com/turbolytics/sql-flow
I wrote about some of these while launching SQLFlow on the render platform.
I'm happy to answer any questions or just talk modern data!
Thank you!
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I'm trying to build a whole ecosystem. SQLFlow is the stateful stream processor.
dbhealth is a way to monitor postgres and table freshness and schema changes.
control is a way to monitor both of these :)
https://github.com/turbolytics/sql-flow/commit/e7cc28b7bdd2f...
docs are updated:
https://github.com/turbolytics/sql-flow
DuckDB has been a fantastic engine to build on (in python), and processes thousands of events per second, day in an day out, without issue
Our first offering is OrderProof which records Shopify transaction evidence and generates PDF to help merchants streamline chargeback disputes.
https://turboops.io/products/orderproof
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more about the problem here:
https://www.linkedin.com/pulse/you-losing-shopify-chargeback...