Deequ is implemented on top of Apache Spark and is designed to scale with large datasets (billions of rows) that typically live in a data lake, ...

May 16, 2019 · First, set up Spark and Deequ on an Amazon EMR cluster. Then, load a sample dataset provided by AWS, run some analysis, and then run data tests.

May 4, 2021 · Reviewing your incoming data with standard or custom, predefined analytics before storing it for big data validation; Tracking changes in data ...

Dec 24, 2023 · This blog post will cover the different components of PyDeequ and how to use PyDeequ to test data quality in depth.

Aug 1, 2023 · With PyDeequ, we can define and run data quality checks, identify data issues, and generate data quality reports directly in Python, making ...

Test data quality at scale with PyDeequ¶ · Missing values can lead to failures in production system that require non-null values (NullPointerException). · Metrics ...

Jan 1, 2021 · AWS introduces PyDeequ, an open-source Python wrapper over Deequ (an open-source tool developed and used at Amazon).

Oct 26, 2021 · In this post, we walk through a step-by-step process to validate large datasets after migration using PyDeequ. PyDeequ is an open-source Python ...