Hacker News with Generative AI: Data Processing

Differential Dataflow for the Masses (github.com/brurucy)
This library provides an implementation of the DBSP language for incremental streaming computations.
How to Flatten nested JSON arrays (datazip.io)
Flattening nested JSON or MongoDB’s BSON or normalizing semi-structured data and writing queries on it for analytics or regular queries, is a common challenge in data processing.
pg_flo – Stream, transform, and re-route PostgreSQL data in real-time (pgflo.io)
The easiest way to move and transform data between PostgreSQL databases
Drasi: Microsoft's open source data processing platform for event-driven systems (github.com/drasi-project)
Drasi is a data processing platform that simplifies detecting changes in data and taking immediate action.
No such thing as exactly-once delivery (sequinstream.com)
We say Sequin is system with "at-least-once delivery" and "exactly-once processing" guarantees.
Parsing Gigabytes of JSON per Second (arxiv.org)
JavaScript Object Notation or JSON is a ubiquitous data exchange format on the Web. Ingesting JSON documents can become a performance bottleneck due to the sheer volume of data. We are thus motivated to make JSON parsing as fast as possible.
Sail – Unify stream processing, batch processing and compute-intensive workloads (github.com/lakehq)
LakeSail's computation framework with a mission to unify stream processing, batch processing, and compute-intensive (AI) workloads.
I use Nim instead of Python for data processing (2021) (benjamindlee.com)
Lazy programmers often prefer to substitute computing effort for programming effort. I am just such a programmer. For my research, I often need to design and run algorithms over large datasets ranging into the scale of terabytes. As a fellow at the NIH, I have access to Biowulf, a 100,000+ processor cluster, so it’s usually not worth spending a ton of time optimizing single-threaded performance for a single experiment when I can just perform a big [MapReduce](https://en.wikipedia.org/wiki/MapReduce).
Reflection-based JSON in C++ at Gigabytes per Second (lemire.me)
Pipes: A spiritual successor to Yahoo Pipes (pipes.digital)
Show HN: Qq: like jq, but can transcode between many formats (github.com/JFryy)
TSV – Alternative to CSV (wikipedia.org)
DataFusion Comet: Apache Spark Accelerator (github.com/apache)
Ask HN: How would you chunk a large Excel file? (ycombinator.com)
Radient – vectorize many data types, not just text (github.com/fzliu)
The One Billion Row Challenge in CUDA (tspeterkim.github.io)