Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. For instance, via lineage, analysts can understand if upstream data dependencies have reliable data quality.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

IBM Journey to AI blog

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. Data quality monitoring Maintaining good data quality requires continuous data quality management.

Data Quality 74

Data Quality Data Profiling Data Governance Machine Learning 74

IBM Journey to AI blog

DECEMBER 16, 2022

It seamlessly integrates with IBM’s data integration, data observability, and data virtualization products as well as with other IBM technologies that analysts and data scientists use to create business intelligence reports, conduct analyses and build AI models.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

ODSC - Open Data Science

DECEMBER 3, 2024

In its essence, data mesh helps with data observability  — another important element every organization should consider. With granular access controls, data lineage, and domain-specific audit logs, data catalogs allow engineers and developers to have a better view of their systems than before. Train the teams.

Data Pipeline 40

Data Pipeline Data Governance Data Analyst Data Observability 40