Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
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Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
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May 16, 2019 · March 2023: You can now use AWS Glue Data Quality to measure and manage the quality of your data. AWS Glue Data Quality is built on DeeQu ...
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Nov 19, 2021 · Introduction. Deequ is a library built on top of Apache Spark for defining “unit tests for data”, which measure data quality in large datasets.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. Snippets. Apache Maven ...
Sep 19, 2019 · I am new to Scala and Amazon Deequ . I have been asked to write a Scala code that would compute metrics (e.g. Completeness , CountDistinct etc) ...
Keep in mind that I'm very new to databricks and Spark. First I created a cluster with the Runtime version "10.4 LTS (includes Apache Spark 3.2.1, Scala 2.12)" ...
Jun 20, 2023 · In this blog, we explore how to ensure data quality in a Spark Scala ETL (Extract, Transform, Load) job. To achieve this, we leverage Deequ ...
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