技能目录

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按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: lakehouse

英文目录

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

12K
Stars
85/100
信任
分类: data-analysis审计

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..

6.7K
Stars
86/100
信任
分类: ml-automation审计

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

3.2K
Stars
83/100
信任
分类: data-analysis审计

Next-generation decentralized data lakehouse and a multi-party stream processing network

344
Stars
63/100
信任
分类: web3-analytics审计

Open-source data lakehouse for biology. Query, trace & validate with a lineage-native lakehouse that supports bio-formats, registries & ontologies. 🍊YC S22

271
Stars
70/100
信任
分类: devops审计

Quick start: pip install jsoniq ⛈️ RumbleDB 2.1.0 "Cedrus Libani" 🌳 for Apache Spark | Run queries on your large-scale, messy datasets (JSON, text, CSV, Parquet, Delta...) | Data Lakehouse with Updates, Scripting, Declarative Machine Learning and more

239
Stars
66/100
信任
分类: data-analysis审计

GigAPI is a Timeseries lakehouse for real-time data and sub-second queries, powered by DuckDB OLAP + Parquet Query Engine, Compactor w/ Cloud-Native Storage. Drop-in FDAP alternative ⭐

386
Stars
64/100
信任
分类: data-analysis审计

End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.

344
Stars
66/100
信任
分类: data-analysis审计

Use SQL to build ELT pipelines on a data lakehouse.

290
Stars
59/100
信任
分类: data-analysis审计