ClickHouse now supports SQL-style UPDATE and DELETE plus new table engines tailored for high-performance workloads.
Anthropic uncovers how reasoning behavior in models comes from internal structure, not surface-level prompts.
Write tests before models and catch logic errors early.
Snowflake explains how clean labeling, governance, and discovery turn raw data into model-ready inputs.
Learn how to stream Kafka data into Iceberg tables using Flink for real-time, zero-ETL pipelines.
Kedro reaches 1.0 with improved modularity, long-term support, and new hooks for ML pipelines.
Apache Fluss brings transactional consistency to streaming pipelines with built-in tiering to MinIO.
Open-source FastAPI app that connects to Databricks Lakebase with built-in token refresh and DB optimizations.
MCP Server uses AI to analyze Spark jobs, surface bottlenecks, and improve performance across pipelines.
Explore how delayed view semantics and dynamic tables are reshaping incremental data workflows.
ML in PL 2025 gathers top machine learning minds from academia and industry for keynotes, talks, tutorials, and panels on AI, open models, security, and more.
📢 New deadline for Call for Contributions applications: 08.08.2025
Build fault-tolerant, long-running AI agents directly on Flink using native state and streaming.
Write tests before models and catch logic errors early.
Sara Hooker explores the limits of scale in machine learning and what’s coming next for open research and efficient models.