A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
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Updated
May 9, 2024 - Python
A library for authoring DLT pipelines via meta-programming patterns and deploying to Databricks workspaces.
Functions that generate SQL queries that summarize high-dimensional tables stored in various databases (e.g. Microsoft SQL Servers, Netezza, DB2, Postgres, Oracle, MySQL, etc.).
Automatically validate datasets, poll task status, and display validation results in a GitHub using Swiple pull request.
profile tabular datasets, manage automatic validation for new datasets, automatic handling for quality issues.
Data quality made simple
Real-time streaming data quality validation project using NYC Taxi Rides datasets, leveraging Kafka, Flink, and StreamDQ.
This application would let a user perform Ouality check on their dataset
Data Quality Assurance using dbt and databricks combination.
Data quality checks to curate noisy labels in the data
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Projeto de conclusão de curso do CESAR SCHOOL voltado para avaliação de ferramentas de Qualidade de Dados.
Data Quality control framework for dataframes in R
Scripts I wrote at my job which could be helpful to others
Project 1 | Retention analysis case study
Backend de dataguadian Pro : plateforme de profilage et correction de base de données
⚡ Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.
Data quality monitoring library designed for time series data, made for modern data stack
Validate tabular data in Python
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