Raiffeisen-DGTL / checkita-data-qualityLinks
Fast data quality framework for modern data infrastructure
☆29Updated 5 months ago
Alternatives and similar repositories for checkita-data-quality
Users that are interested in checkita-data-quality are comparing it to the libraries listed below
Sorting:
- DE or DIE meetup made by data engineers for data engineers. Currently in Russian only.☆58Updated last year
- Distributed run of dbt models using Airflow☆164Updated last month
- Practice course on Big Data☆16Updated last year
- Learning resources for Airflow Tutorial article.☆55Updated 4 years ago
- Module for pipelines concept in PySpark☆16Updated last year
- Курс про Apache Airflow 2.0☆35Updated last year
- ☆11Updated 4 years ago
- Docker Compose with Almond.sh core for Jupyter☆19Updated 10 months ago
- Data Engineering misc☆14Updated 3 years ago
- Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»☆96Updated last year
- One ETL tool to rule them all☆81Updated this week
- Allow parsing Russian receipts☆53Updated 4 years ago
- ☆29Updated 3 years ago
- ☆33Updated 2 years ago
- ☆368Updated 8 months ago
- Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)☆312Updated 2 years ago
- machine learning lifecycle framework☆201Updated 2 years ago
- Репозиторий направления Production ML, весна 2021☆53Updated 4 years ago
- ☆19Updated 6 months ago
- ☆43Updated 3 years ago
- Ambrosia is a Python library for A/B tests design, split and result measurement☆234Updated last year
- Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪☆109Updated 5 years ago
- ☆66Updated 8 months ago
- Git Tips and Ticks for Effective Developers☆38Updated last year
- python курс☆38Updated this week
- Home assignments for data science positions☆631Updated last year
- Cl app / pre-commit hook to clean Jupyter Notebooks metadata, execution_count and optionally output.☆11Updated 4 months ago
- 100 упражнений по numpy версия на русском☆165Updated last year
- Python client for MLflow REST API☆36Updated last year
- This project is used to capture machine learning pipelines created on top of Spark as OK☆52Updated 2 years ago