Observe on Apache Iceberg: Unlocking Open Observability
Observe by Snowflake on Apache Iceberg is now in private preview. Store telemetry as open Iceberg tables in your own S3 bucket, queryable by any engine.
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Observe by Snowflake on Apache Iceberg is now in private preview. Store telemetry as open Iceberg tables in your own S3 bucket, queryable by any engine.
Discover how Snowflake and Google Cloud use Apache Iceberg to build an open, AI-ready lakehouse. Achieve data interoperability without vendor lock-in.
Discover how to easily stream data into Snowflake-managed Apache Iceberg tables using Snowpipe Streaming.
Learn how to build a dynamic streaming data lake on Amazon Managed Service for Apache Flink that adapts to new event types and schema changes without stopping the pipeline, using A...
Discover why true data agency requires bidirectional interoperability. Learn how Snowflake Horizon implements the Iceberg REST Catalog protocol end-to-end, and why Databricks Unity...
The data lakehouse has become the default architecture for analytics on AWS in 2026. It combines the best of both worlds: the low-cost, schema-flexible storage of a data lake (S3)...
Learn how to query Amazon S3 Tables from Trino on Amazon EMR using the Apache Iceberg REST catalog endpoint. This post shows how to deploy the integration with AWS CloudFormation,...
Open table formats are metadata layers that sit on top of data files in object storage, adding ACID transactions...
In this post, we demonstrate how AWS and Salesforce customers can access their enterprise data lakes on AWS from Salesforce Data 360 using zero-copy file federation.
Announcing delivery to streaming tables on Apache Iceberg for Amazon MSK Express brokers, a fully managed capability that continuously materializes your Kafka streaming data as que...
Stream Amazon Aurora DSQL change data capture (CDC) events into Apache Iceberg tables on Amazon S3 with Amazon Data Firehose, then query them using Amazon Athena. This post walks t...
The open lakehouse stack spent this week arguing about what belongs in a spec and what belongs in a release. Iceberg contributors opened a formal push to remove equality deletes fr...
Somewhere out there a vanilla Ægir server is still quietly serving its Drupal sites, years after the person who set it up moved on. The aegir2boa toolset gives these classic estate...
Razor Group, one of Europe's leading ecommerce aggregators managing 250+ brands, migrated from always-on Amazon Redshift clusters to an open lakehouse on Apache Iceberg, Amazon S3...
The code of a Drupal or Backdrop site is the part everyone rebuilds, upgrades and throws away with a light heart; the uploads are the part nobody plans for, and they are the only p...
Today’s data lakehouse is no longer mere data repository, but increasingly a system of action, actively executing tasks via always-on, autonomous AI agents. Rather than waiting for...
With Apache Iceberg materialized views in Amazon SageMaker, you can build a Bronze, Silver, and Gold medallion architecture as three SQL statements. This declarative approach folds...
Every Drupal or Backdrop site sooner or later needs a safe copy to experiment on – plenty of us still build one by hand and live with the quiet fear that the copy touches productio...
Amazon Kinesis Data Streams now supports streaming tables, a fully managed capability that continuously delivers your streaming data as queryable Apache Iceberg tables on Amazon S3...
Leading everyday app across the Middle East and North Africa, talabat, built a hybrid multi-cloud lakehouse that keeps a single Apache Iceberg copy of streaming data on Amazon S3 T...
The Open Semantic Interchange entered the Apache Incubator as Apache Ossie (Incubating), backed by a growing coalition of 50+ data and AI leaders.
In a bold venture back in 1977, a Saudi prince attempted to tow an iceberg to address a water supply dilemma. This audacious project confronted considerable engineering hurdles and...
AWS Glue 6.0 with Apache Spark 4.1 adds support for Apache Iceberg v3: native geospatial types, nanosecond-precision timestamps, the VARIANT type, and DEFAULT column values. This p...
Apache Paimon is an open-source data lake storage framework designed to manage large-scale analytical datasets efficiently. It enables organizations to build reliable, real-time da...
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