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Excited to finally release the python bindings for our embeddable stream processing engine 🎉 `pip install denormalized` Check out the API docs at probably-nothing-labs.github.io/denormalized... And the Code over at github.com/probably-not...
Matt Green
@mgreen.bsky.social
Data, Streaming, coding, (maybe) AI? building a real time streaming engine. https://www.denormalized.io/
261 followers443 following83 posts
Pinned
Excited to finally release the python bindings for our embeddable stream processing engine 🎉 `pip install denormalized` Check out the API docs at probably-nothing-labs.github.io/denormalized... And the Code over at github.com/probably-not...
Just launched a free AI powered Spark Optimizer that examines spark logs to make cost and efficiency recommendations! Looking for feedback from Spark users #databs datasre.ai
Ever wish your AI agent had more external dependencies? announcing mcp-leftpad! Using the power of MCP, AI can now easily leftpad strings www.npmjs.com/package/mcp-...
spent a few hours building an mcp server to connect ollama models to mcp clients (like claude desktop) github.com/emgeee/mcp-o...
Just published a new example of using the Denormalized Stream processing engine to compute real-time fraud features and sink to a Feast datastore - blog post coming out soon! github.com/feast-dev/fe...
NX is trying to bring Ai to elixir with python model interop github.com/elixir-nx/nx
Finally got around to playing with @anthropic.com MCP protocol and it's very well done. Seems like a step in the right direction and I hope it continues to gain traction
just dropped denormalized 0.0.10 - (fix): engine no longer panics when handling really late data - (feat) default to using the kafka timestamp if no timestamp column is specified pypi.org/project/deno...
Merkle Trees are such a powerful data structure for distributed systems. They can allow you save a lot of bandwidth for the small cost of re-computing hashes of data. They also are what allow you to trust data retrieved from untrusted sources www.baeldung.com/cs/merkle-tr...
Fantastic post. When I started getting involved with the DataFusion project I never understood why it would take a month for my contributed changes to be released. It meant I basically had to maintain my own fork and build my project against that -- a process that become rather burdensome
Publishing a post "What Did ASF Do Wrong?" to explore ways to attract more contributors—feel free to join the discussion with me. xuanwo.io/2024/09-what...
PyTorch is no longer publishing to conda nightly-- seems like a pretty interesting development in the python packaging ecosystem dev-discuss.pytorch.org/t/pytorch-de...
Follow Friday: @franciscojarceo.bsky.social is the maintainer of the feast feature store and a fine data lad
Hello world! www.chaos-engineering.dev/p/hello-world
With the recent release of uv 0.5 I looked into it again. I didn't realize that the eventual plan is to have uv subsume rye as a full-blown python env management tool github.com/astral-sh/ry...
per @chris.blue recommendation from materialized view I'm here to give bsky a real shot. Looking to learn about data!
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