mikulskibartosz / check-engineLinks
Data validation library for PySpark 3.0.0
☆33Updated 2 years ago
Alternatives and similar repositories for check-engine
Users that are interested in check-engine are comparing it to the libraries listed below
Sorting:
- Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes☆64Updated 3 years ago
- An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR☆175Updated 4 months ago
- Spark style guide☆263Updated last year
- Airflow training for the crunch conf☆105Updated 6 years ago
- How to manage Slowly Changing Dimensions with Apache Hive☆55Updated 6 years ago
- Flowman is an ETL framework powered by Apache Spark. With its declarative approach, Flowman simplifies the development of complex data pi…☆96Updated 3 weeks ago
- A repository of sample code to show data quality checking best practices using Airflow.☆78Updated 2 years ago
- type-class based data cleansing library for Apache Spark SQL☆78Updated 6 years ago
- Fake Pandas / PySpark DataFrame creator☆48Updated last year
- Flowchart for debugging Spark applications☆107Updated last year
- PySpark phonetic and string matching algorithms☆39Updated last year
- Airflow declarative DAGs via YAML☆133Updated 2 years ago
- A library that brings useful functions from various modern database management systems to Apache Spark☆60Updated 2 years ago
- pytest plugin to run the tests with support of pyspark☆87Updated 4 months ago
- Rules based grant management for Snowflake☆41Updated 6 years ago
- ☆201Updated last year
- Create HTML profiling reports from Apache Spark DataFrames☆198Updated 5 years ago
- A Python Library to support running data quality rules while the spark job is running⚡☆188Updated this week
- Trino dbt demo project to mix and load BigQuery data with and in a local PostgreSQL database☆76Updated 4 years ago
- Delta lake and filesystem helper methods☆51Updated last year
- Examples for High Performance Spark☆16Updated last month
- Delta Lake examples☆228Updated 11 months ago
- Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.☆169Updated last year
- Magic to help Spark pipelines upgrade☆34Updated last year
- The Internals of Spark on Kubernetes☆71Updated 3 years ago
- Superglue is a lineage-tracking tool built to help visualize the propagation of data through complex pipelines composed of tables, jobs …☆159Updated 2 years ago
- A tool to validate data, built around Apache Spark.☆100Updated this week
- A simple Spark-powered ETL framework that just works 🍺☆182Updated last week
- Airflow Unit Tests and Integration Tests☆260Updated 2 years ago
- Real-world Spark pipelines examples☆83Updated 7 years ago