This is the Windows app named Deequ whose latest release can be downloaded as 2.0.12sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Deequ
DESCRIPTION:
Deequ is a library built by Amazon (AWS Labs) on top of Apache Spark to enable automated data quality testing, constraint verification, and anomaly detection at scale. It lets users define assertions or constraints about data (e.g. completeness, uniqueness, min / max, correlations etc.), run metrics, verify that data meets expectations, suggest constraints, detect drift/anomaly, and integrate into data pipelines so that bad data is caught early before feeding downstream systems or ML.
Features
- Metrics computation for large datasets: completeness, min/max, uniqueness, correlation etc using Spark aggregations
- Constraint definition and verification: developers can define data quality constraints and have Deequ check whether the data satisfies them
- Constraint suggestion / profiling: ability to profile data and suggest likely useful constraints automatically
- Anomaly detection / drift monitoring across data runs / versions so changes/unexpected data patterns are caught
- Integrates with distributed data sources / storage systems (e.g. S3, HDFS etc), works as part of Spark pipelines
- Can be used via Python abstraction (PyDeequ) for those who prefer Python interface over Scala when using Spark
Programming Language
Scala
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deequ.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.