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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during the evaluation of rulesets. In the following sections, we discuss these steps in more detail.

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

This has led to the emergence of real-time OLAP solutions, which are particularly relevant in the following use cases: User-facing analytics – Incorporating analytics into products or applications that consumers use to gain insights, sometimes referred to as data products. Anomaly detection – Identifying outliers or unusual behavior patterns.

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Two Acquisitions in Two Weeks!

Rita Sallam

Workday plans to embed Platfora technology into its technology foundation to complement existing operational reporting, dashboarding and scorecarding capabilities with Platfora’s ad hoc exploration features targeted specifically for Workday’s HR and Finance application customers.

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Fact-based Decision-making

Peter James Thomas

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. Regular facts are subject to data quality issues, or manipulation by creative humans.