Remove Data Observability Remove Data Quality Remove Database Remove ETL
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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

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Data Fabric and Address Verification Interface

IBM Data Science in Practice

IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.

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Maximize the Power of dbt and Snowflake to Achieve Efficient and Scalable Data Vault Solutions

phData

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. Implement business rules and validations: Data Vault models often involve enforcing business rules and performing data quality checks.

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How to Combat the Lack of Standardization in Snowflake

phData

Data Quality Good testing is an essential part of ensuring the integrity and reliability of data. Without testing, it is difficult to know whether the data is accurate, complete, and free of errors. Below, we will walk through some baseline tests every team could and should run to ensure data quality.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. One of the features that Hamilton has is that it has a really lightweight data quality runtime check. Stefan: Yeah.

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