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Polars for Data Workloads: Fast DataFrames, Lazy Queries, and ETL Pipelines
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Zanzibar-Style Authorization with OpenFGA: Modeling, Evaluation, and Scale
by
0.00 avg rating — 0 ratings
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Great Expectations for Data Teams: Data Quality Testing That Fits CI/CD
by
0.00 avg rating — 0 ratings
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Project Nessie: Git‑Like Versioning for Lakehouse Tables and Catalogs
by
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Apache Polaris Catalog: Operating an Open Iceberg Catalog at Scale
by
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Arrow Flight SQL: High‑Speed Data Transport for Analytics Apps
by
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Apache Paimon: Streaming Lakehouse Tables for Fast Inserts and Analytics
by
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Iceberg REST Catalogs: Managing Table Metadata Across Engines and Clouds
by
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Delta Sharing: Secure Cross‑Org Data Sharing Without File Exports
by
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Deequ Data Quality: Constraint‑Based Validation for Big Data Pipelines
by
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Soda Core: Practical Data Observability and Quality Checks
by
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OpenMetadata: Building a Unified Data Catalog and Governance Layer
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OpenLineage: Standardized Data Lineage for Modern Pipelines
by
0.00 avg rating — 0 ratings
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MotherDuck: Collaborative DuckDB in the Cloud for Teams
by
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Marquez Lineage Backend: Operating OpenLineage Metadata Services
by
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Data Mesh in Practice: Domains, Data Products, and Platform Interfaces
by
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DuckDB Analytics: Local OLAP, Extensions, and Embedded Data Apps
by
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Apache DataFusion: Building Custom Analytics Engines in Rust
by
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DataHub in Practice: Metadata Platform Design, Ingestion, and Governance
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Amundsen Data Discovery: Searchable Metadata for Analytics Teams
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Engineering Data Contracts: Schemas, SLAs, and Breaking‑Change Governance for Data Products
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lakeFS: Version Control for Data Lakes—Branch, Merge, and Reproduce
by
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Cube.dev Semantic Layer: Metrics, Caching, and Access Control for Analytics APIs
by
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Evidence.dev: Analytics Reports as Code with SQL, Markdown, and CI
by
0.00 avg rating — 0 ratings
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MetricFlow: Building a Metrics Engine for Consistent BI and Embedded Analytics
by
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dbt Semantic Layer: Defining Metrics Once and Serving Them Everywhere
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Airbyte ELT: Running Connectors, Normalization, and Reliable Syncs
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Apache SeaTunnel: High‑Performance Data Integration for the Lakehouse
by
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Redpanda Streaming: Kafka‑Compatible Performance with Simple Ops
by
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Prefect 2 Workflows: Python‑Native Orchestration for Data and ML Pipelines
by
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