A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
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Updated
May 18, 2024 - Python
A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
The script reads the dataset along the path and selects the columns in it received from the argument for the specified dates. Then it saves the report to the specified path of HDFS.
profile tabular datasets, manage automatic validation for new datasets, automatic handling for quality issues.
Scripts I wrote at my job which could be helpful to others
Backend de dataguadian Pro : plateforme de profilage et correction de base de données
Little tool to validate a folder with XML files with a XML schema
An end to end data engineering project for loading data into bigquery with airflow, perform transformations using dbt and do data quality check with soday
A library of helpful pyspark functions
Tough and flexible tools for data analysis, transformation, validation and movement.
数据质量检查工具, 用于诊断数据的问题
Automatically validate datasets, poll task status, and display validation results in a GitHub using Swiple pull request.
Framework to Automatically Determine the Quality of Open Data Catalogs
Qalita Public Packs
Apache Airflow Pipeline extracts JSON files from AWS S3 bucket and inserts these into an AWS Redshift Cluster.
Airflow plug-in that allows you to automate robust Data Quality checks for BigQuery
This application would let a user perform Ouality check on their dataset
Data quality checks to curate noisy labels in the data
Source-available data quality tool
Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.
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