object flow treatment, data transformation

Another data transformation language

Bruin is a data pipeline tool that is designed to be easy-to-use. It allows building data pipelines using SQL and Python, and has built-in data quality checks.

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

Advanced and Fast Data Transformation in R

A visual data pipeline builder with various backends

A collection of actions for working with ROS data

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

A Typescript library for transporting and converting markdown and csv data.

Data transformation framework for ETL processing with SQL-like syntax and GIS extensions, based on Apache Spark

Spotify Data Transformation and Analysis

Logical Replication extension for PostgreSQL 15, 14, 13, 12, 11, 10, 9.6, 9.5, 9.4 (Postgres), providing much faster replication than Slony, Bucardo or Londiste, as well as cross-version upgrades.

This repository contains a collection of Data Science projects showcasing various aspects of data analysis and manipulation

This is a Capstone Project which provides an in-depth analysis of the Shakila DVD Rental Store, utilizing Excel, SQL, and Power BI to deliver actionable insights and dynamic dashboard visualization for enhancing business operations and customer experiences in the movie rental industry.

A comprehensive Power BI project analysing healthcare industry data, exploring patient demographics, hospital performance, and payer-provider dynamics through interactive visualizations & made executive summary report that provide actionable insights for strategic decision-making.

DeltaFi is a flexible, code-light data transformation and normalization platform.

The Forbes Billionaires Analysis project provides a comprehensive exploration of the world's billionaires using data from Forbes. The accompanying Jupyter Notebook (forbes-Billionaires-Analysis.ipynb) contains detailed analysis, visualizations, and insights derived from the Forbes billionaires dataset.

This project focuses on analyzing marketing data to derive insights and make data-driven decisions. The dataset contains various attributes related to marketing campaigns, customer demographics, and product sales.

To transform the MIMIC-IV FHIR dataset into a structured format suitable for analysis by converting its JSON files containing patient, condition, and encounter data into a CSV file that maps patient IDs to condition timestamps. This involves extracting, processing, and merging data to create a comprehensive and analyzable dataset.

Parsing, transforming and unmarshalling data.