This article, part 14 of a 15-part Apache Iceberg Masterclass, provides a practical walkthrough of using Iceberg with Dremio Cloud, covering table creation, data ingestion, and optimization. It highli…
This article, Part 13 of a 15-part Apache Iceberg Masterclass, outlines three primary methods for streaming data into Iceberg tables: Spark Structured Streaming, Apache Flink, and the Iceberg Sink Con…
This article, part 12 of a 15-part Apache Iceberg Masterclass, explains how to access Iceberg data using Python libraries like PyIceberg, DuckDB, and Polars for local analysis, as well as MPP query en…
Apache Iceberg provides queryable metadata tables that allow users to inspect table internals using standard SQL, enabling tasks such as health checks, performance debugging, and change auditing. Key …
This article, part 10 of a 15-part Apache Iceberg Masterclass, explains the four key maintenance operations required to keep Iceberg tables healthy: compaction, snapshot expiry, orphan file cleanup, a…
This article, part 9 of a 15-part Apache Iceberg Masterclass, explains five ways Iceberg table storage degrades over time without maintenance, including the accumulation of small files, orphan files, …
Amazon SageMaker Feature Store now supports native AWS Lake Formation integration, additional Apache Iceberg table properties, and Feature Store capabilities in SageMaker Python SDK v3.8.0. The new fe…
Five typosquatting npm packages published by accounts named "superbase" and "micresoft" contain a hidden 4.5 MB ELF binary that executes automatically upon `npm install` and, through a hijacked `Sessi…