Changelog #15: improved data flow graph, anomaly detection and more
Better visualization of dependencies, Kafka improvements, how to ingest JSON data, CLI enhacements and more.
Read the full articleYou might also wanna read
An In-Depth Overview of the Apache Iceberg 1.11.0 Release
> **Cross-posted.** This article's canonical home is [Data Lakehouse Hub](
iceberglakehouse.com·1mo ago
Orchestrating Airflow DAGs with GitHub Actions - A Lightweight Approach to Data Curation Across Spark, Dremio, and Snowflake
- [Free Copy of Apache Iceberg the Definitive Guide](
iceberglakehouse.com·1y ago
Bun v0.6.3
Introducing `node:vm` support, support for `socket.io` and `mongodb`, `test.todo()`, and many bug fixes for the bundler.
bun.com·3y ago
MCP and Data Pipelines: How AI Agents Connect to Airflow, dbt, Kafka, Snowflake, and the Modern Data Stack
A comprehensive guide to MCP integrations across the modern data stack — covering Airflow, dbt, Kafka, Snowflake, BigQuery, Databricks, Five
chatforest.com·3mo ago
Orchestrating Airflow DAGs with GitHub Actions - A Lightweight Approach to Data Curation Across Spark, Dremio, and Snowflake
> **Cross-posted.** This article's canonical home is [Iceberg Lakehouse](
datalakehousehub.com·1y ago
Apache Iceberg v4 Roadmap: Adaptive Metadata Trees, Single-File Commits, and the Delta Convergence
> **Cross-posted.** This article's canonical home is [Data Lakehouse Hub](
iceberglakehouse.com·1mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.