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Published : Oct 26, 2022
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Oct 2022
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.

Monte Carlo is a data observability platform. Using machine learning models, it infers and learns about data, identifying issues and notifying users when they arise. It allows our teams to maintain data quality across ETL pipelines, data lakes, data warehouses and business intelligence (BI) reports. With features such as monitoring dashboards as code, a central data catalog and field-level lineage, our teams find Monte Carlo to be an invaluable tool for overall data governance.

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