A modern and performant/robust dag processor for data pipelines allowing processing data in/out from storages like S3 or Iceberg/delta lakes without interruptions.
Whenever it is not feasible for an Apache Airflow / NIFI / Hadoop flying circus alike. Legacy software could remain operating on your storage/lake data in conjunction with Thund handling In/Out. For a complete modern stack combine Apache Arrows Balista/Datafusion in combination with Thund.
If you dont get it , no worries its an early experiment , perhaps "Grímnismál" (Year 1300-1325) in the Poetic Edda explains it goal better
"Thunda's waters hast'ning fleet,
Touch not Valgom! with thy feet."
- Apache Arrow centric
- Minimalistic / Performant / Robust
- Conform to Brokkr's Software critera https://github.com/Ignalina/brokkr
Goals below are to be sorted for V1,V2 or V never
- Fix eventhandler/step arguments from simple reader to functions for create reader and writer.
- Picture of the watcher->eventhandlers mechanics and tossing of parameters.
- Alloy component , Could Arrow references be used betwen Golang-Rust ?
- Support for Arrows filesystem HDFS,
- Incorporate RCLONE
- Graph support
- Add handlers to Arrow->Tantivy/Apache flight/kafka/delta-rs
- Handlers Deployable/Callable from minifi
- Steps spread out on multiple Processors
- Jaeger
- Metrics
- Static Deployment via ipmi
- Deployment via kubernetes, as static as possible.
Translations poeems describing Thund Germanic mythology
Learn pronounce in Icelandic ÓÐSMÁL