Snowflake Interoperable Lakehouse Lessons
Analysis of Snowflake interoperable lakehouse lessons focusing on production contracts, multi-engine access, and agentic analytics challenges.
Analysis of Snowflake interoperable lakehouse lessons focusing on production contracts, multi-engine access, and agentic analytics challenges.
Explores context layers bridging table formats and business meaning using Atlan, Iceberg v3, and Snowflake Horizon for AI agents.
Explains Apache Iceberg v3 deletion vectors on Snowflake, their performance benefits over v2, and implementation details.
Explains how Apache Iceberg v3 row lineage enables native CDC without external tools like Debezium or Kafka.
Explains Snowflake's bidirectional Iceberg writes via Horizon Catalog, powered by Apache Polaris, enabling external engines to write to Snowflake-managed Iceberg tables.
Explores Snowflake Semantic View Autopilot's AI-driven semantic model creation, its GA in 2026, and the balance between automation and human review.
Overview of AI agent tooling from major data platforms in 2026, focusing on MCP integration and native capabilities.
Guide on connecting Snowflake to Dremio Cloud to federate queries, accelerate performance, and reduce Snowflake compute costs.
A monthly roundup of curated links and articles covering data engineering, Kafka, stream processing, and AI, with top picks highlighted.
Using GitHub Actions to trigger Airflow DAGs for orchestrating data pipelines across Spark, Dremio, and Snowflake.
A technical tutorial on streaming data from SQL Server to Snowflake using Kafka and Kafka Connect with Debezium for CDC.