BETA RELEASE - NOT FOR PRODUCTION: Transparent data tiering and partition lifecycle management for PostgreSQL. A single table spans recent rows in PostgreSQL partitions and older rows in Apache Iceberg on S3-compatible, Azure, or GCS storage; the cold tier is readable and writable through the same SQL, no app changes.
A remotely accessible Kubernetes home lab with OIDC authentication. Build a modern development environment with integrated data analytics and AI capabilities. Includes an open data stack for data ingestion, transformation, serving, and orchestration.
Terraform provider for Lakekeeper
Data quality gates for an Apache Iceberg lakehouse: Soda Core v4 contracts per medallion layer, write-audit-publish on Iceberg branches with Spark, gates on DuckDB or Trino, Airflow 3 orchestration, and reproducible benchmarks.
Hands-on Apache Iceberg lab with access control: Trino, Lakekeeper catalog, OpenFGA via OPA, Keycloak SSO, RustFS S3. One docker compose command, step-by-step chapters (docs in Russian).
Open-source data lakehouse on your laptop: Iceberg 1.12 with the Lakekeeper REST catalog, RustFS (or SILO), DuckDB, Polars, PyIceberg, Spark 4.1 and Trino. Retail medallion and renewal-features pipelines.
Security-oriented, rootless Lakekeeper Apache Iceberg REST catalog container built on Red Hat UBI 9, with a digest-verified upstream artifact lock, SBOMs, vulnerability scanning, and signed multi-architecture releases.
End-to-end lakehouse pipeline: REST Countries API → Garage (S3) → Iceberg (Lakekeeper) → Trino → Panel, orchestrated by Dagster.
Monthly ETL pipeline for KSEI securities ownership data using Airflow, ClickHouse, dbt, and Superset
To associate your repository with the lakekeeper topic, visit your repo's landing page and select "manage topics."