Stars
Fabric toolbox is a repository of tools, accelerators, scripts, and samples to accelerate your success with Microsoft Fabric, brought to you by Fabric CAT.
A tool to wrap Win32 App and then it can be uploaded to Intune
A native Rust library for Delta Lake, with bindings into Python
Early access to new features for Microsoft Fabric's Semantic Link.
A composable and fully extensible C++ execution engine library for data management systems.
Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.
Turning PySpark Into a Universal DataFrame API
Samples and data for Microsoft Fabric Learn content
Supercharge your Microsoft Fabric development with the fabric_cat_tools library
Meta data driven spark notebooks, for loading data in Microsoft Fabric
Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.
Cleaning and processing code for Anonymised MOT data
Documentation for Hyper, the blazingly fast SQL engine powering analytics at Tableau and Salesforce
Samples on how call a REST endpoint using Azure SQL Database
Tabular Model Definition Language (TMDL) Extensions for Visual Studio Code
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
The fastest way to get data from the Open Data Blend Dataset API
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
My Azure stencil collection for Visio. Highly functional and always up to date.
Power BI Custom Connector for loading tables directly from Tabular Data Packages (Frictionless Data) into Power BI
A Python package that parses SQL and interprets it as methods that act upon existing pandas (or other types of) DataFrames that have been declared and registered
DuckDB is an analytical in-process SQL database management system
OlaPy, an experimental OLAP engine based on Pandas
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡