Apache DataFusion SQL Query Engine
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Updated
May 28, 2024 - Rust
Apache DataFusion SQL Query Engine
the portable Python dataframe library
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.
Create full-fledged APIs for slowly moving datasets without writing a single line of code.
Notes on Data Engineering with Pandas, PySpark, Dask, Ray, Arrow DataFusion, Polars etc.
etl engine 轻量级 跨平台 流批一体ETL引擎 数据抽取-转换-装载 ETL engine lightweight cross platform batch flow integration ETL engine data extraction transformation loading
Rust implementation of Apache Iceberg with integration for Datafusion
New generation decentralized data lake and a streaming data pipeline
Analytical database for data-driven Web applications 🪶
Query and transform data with PRQL
Experimental Elixir bindings for Apache Arrow including Parquet and DataFusion
ModelarDB: Model-Based Time Series Management from Edge to Cloud
Blazing-fast query execution engine speaks Apache Spark language and has Arrow-DataFusion at its core.
A Python library to run analytics workloads with the performance of Rust, the flexibility of Python and O(1) cost in moving data between the two. Uses Apache Arrow in-memory format and respective query engine DataFusion.
OL: Code for "Hyperspectral Image Super-resolution via Multi-stage Scheme without Employing Spatial Degradation"
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