Nov 26, 2019 · Data quality is an important aspect whenever we ingest data. In a big data scenario this becomes very challenging considering the high ...
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Sep 2, 2020 · Deequ is developed and used at Amazon for verifying the quality of many large production datasets. The system computes data quality metrics ...
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Test data quality at scale with Deequ | AWS Big Data Blog
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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.
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May 2, 2020 · Today I will describe here how we have implemented AWS Deequ for data quality checks. Some Words about AWS deequ : The skeleton is apache spark.
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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.
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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. - awslabs/deequ.
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Dec 30, 2020 · 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, ...
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Feb 6, 2024 · Monitor data quality with Amazon Deequ, InfluxDB, and Grafana in a Dockerized environment using Scala/Java and Apache Spark.
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