sqrl
bitsail
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sqrl
- How do you solve data plumbing? Can we compile it away?
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Transitioning from user-defined, dynamic schemas in document DB to a relational DB
I think you're looking for document shredding. There are a few different strategies, depending on the query patterns. What you describe is one way, just flatten all the paths (e.g. JSONPath) and have a single table w/ key/value. Another way would be to create tables for each level in the hierarchy, but this way can get complex very quickly. You may want to use a different tool for it, such as https://github.com/DataSQRL/sqrl
bitsail
What are some alternatives?
kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
incubator-seatunnel - SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time). [Moved to: https://github.com/apache/seatunnel]
flink-kubernetes-operator - Apache Flink Kubernetes Operator
Apache Flink - Apache Flink
scotty-window-processor - This repository provides Scotty, a framework for efficient window aggregations for out-of-order Stream Processing.
seatunnel - SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
flink-remote-shuffle - Remote Shuffle Service for Flink