Curated articles and resources for Apache Iceberg, Arrow, and Polaris.
Open table formats are no longer niche, they’re the foundation of the modern data stack. Whether your challenge is batch analytics, real-time ingestion, or simplifying…
Looking ahead to 2026, the lakehouse is no longer just a central repository; it extends outward to power real-time analytics, agentic AI, and even edge inference.
The world of data lake deletion formats might seem complex, but it’s really about solving a fundamental problem: how do you efficiently manage changing data at…
Apache Iceberg provides a path to standardize data across the enterprise, bringing structure, scalability, and openness to data lakes. But standing up an Iceberg lakehouse…
Dremio Enterprise Catalog, powered by Apache Polaris, removes that burden by handling optimization automatically. It continuously analyzes your tables—watching for small-file buildup, oversized files, outdated…
The momentum behind Apache Polaris is building quickly. By starting with the Apache Iceberg REST Catalog standard, it has inherited instant compatibility with a broad…
Apache Iceberg 1.10.0 represents a turning point in the evolution of the open lakehouse. With the general availability of format-version 3, Iceberg now offers a…
Over the last twelve months, the open lakehouse ecosystem has taken a decisive step forward. Three projects in particular, Apache Arrow, Apache Iceberg, and...
When you save data, the format you choose makes all the difference. Think about it like keeping notes: writing them in a plain text file…