Discover FireDucks, a high-performance library compatible with Pandas, designed to speed up data manipulation without changing your existing workflow.
Explore how Demandbase transitioned from ClickHouse to CelerData Cloud, optimizing storage and streamlining real-time data updates.
Learn how automation and modern tools keep API documentation up-to-date, enhancing team collaboration and onboarding efficiency.
A guide to building a modern data pipeline using lightweight, scalable tools. This tutorial covers medallion architecture and the WAP pattern for streamlined data engineering.
A detailed comparison of cumulative vs. windowed metrics in A/B testing, helping you choose the right approach based on experiment specifics.
A practical guide to crafting effective prompts for post-trained LLMs, offering strategies and frameworks for improving interaction outcomes.
Discover how Snowflake users on Azure can now write Iceberg tables directly to OneLake, reducing duplication and improving workflow efficiency.
A Python module leveraging ClickHouse for high-performance, serverless OLAP solutions, optimized for SQL-on-Parquet tasks and more.
An AI-powered ML engineering tool that automates data preparation, model selection, and deployment, boosting productivity for machine learning workflows.
Learn how to simplify ML workflows and build scalable AI systems with insights from the Runhouse team.
Join talks on FastAPI for model serving, scaling ML experiments on AWS, and leveraging LLMs for MLOps, followed by networking (and pizza!).