Minimum Information About Dataset
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Updated
Jun 9, 2017
Minimum Information About Dataset
Data Quality Tool
python automatic data quality check toolkit
Tough and flexible tools for data analysis, transformation, validation and movement.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Airflow plug-in that allows you to automate robust Data Quality checks for BigQuery
Data Quality control framework for dataframes in R
Validate tabular data in Python
MetricDoc is an interactive visual exploration environment for assessing data quality
🐳 Tool to automate data quality checks on data pipelines
Successful completion of the Data Analytics Internship tasks assigned by KPMG. Involves Data visualization, Data dashboard creation and Data quality issues.,
Scripts I wrote at my job which could be helpful to others
Little tool to validate a folder with XML files with a XML schema
Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.
Apache Airflow Pipeline extracts JSON files from AWS S3 bucket and inserts these into an AWS Redshift Cluster.
The PEDSnet Data Quality Assessment Toolkit (OMOP CDM)
A library of helpful pyspark functions
Using SQL data validation framework you can build a data validation process to validate data against complex data validation rules.
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