#Data-transformation
Showing 30 of 30 repositories tagged #data-transformation, ranked by stars
A high-performance observability data pipeline.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
A block-based API for NSValueTransformer, with a growing collection of useful examples.
Official Repository of "LLM × DATA" Survey Paper
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Advanced and Fast Data Transformation in R
Apache Camel Examples
Apache Camel Spring Boot Examples
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
Apache Camel Quarkus
Runs Camel on Spring Boot and provides starters for Camel components
A simple Spark-powered ETL framework that just works 🍺
Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
A visual data pipeline builder with various backends
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Apache Camel Quarkus Examples
A schema-aware Scala library for data transformation
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
Apache Camel Kamelets Repository
Your friendly >> chevron >> based syntax for piping data through multiple transformations.
Power Query M functions for working with Tabular Data Packages (Frictionless Data) in Power BI and Excel
Apache Camel Kamelets Examples
DAG-SQL-Builder is an editor that helps data developers write complex SQL. It advocates using DAG (Directed acyclic graph) to combine simple SQL to build complex SQL, Through this approach, you will have easier control over SQL with complex logic. In addition, its ”SQL-template“ functionality can reduce your time writing SQL and improve your work
Short programming tutorials pertaining to data analysis.
Apache Camel JBang Examples
Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution of data across the three output formats based on custom-defined ratios.
A comprehensive educational resource hub dedicated to mastering Microsoft Fabric, offering in-depth tutorials, real-world use cases, and hands-on guides for seamless end-to-end analytics