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Dsql-data-warehouse-project
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
Llance
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Popularity
Repository stars1,0587,245Highest
7-day net stars——
Fork746921Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-152026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-12-302022-07-07
License & use
LicenseMIT · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeApps & systemsApps & systems
SubcategoryDeveloper toolsDeveloper tools
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageTSQLRust
About this projectA comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Measured at2026-11-02 19:03 UTC2026-11-02 19:00 UTC
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