Monte Carlo Data & AI Observability Platform
收藏Snowflake2025-01-28 更新2025-04-09 收录
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资源简介:
As businesses increasingly rely on data to power digital products and drive better decision making, it's mission-critical that this data is accurate and reliable. Monte Carlo's Data Observability Platform is an end-to-end solution for your data stack that monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence. The platform uses machine learning to infer and learn your data, proactively identify data issues, assess its impact, and notify those who need to know. By automatically and immediately identifying the root cause of an issue, teams can easily collaborate and resolve problems faster. Monte Carlo also provides automatic, field-level lineage and centralized data cataloging that allows teams to better understand the accessibility, location, health, and ownership of their data assets, as well as adhere to strict data governance requirements.
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Note: Snowflake deployment can consist of the Monte Carlo Agent and SaaS platform. For more information on deployments and how to connect with Monte Carlo, contact us at info@montecarlodata.com.
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提供机构:
Monte Carlo
创建时间:
2025-01-16
搜集汇总
数据集介绍

背景与挑战
背景概述
Monte Carlo Data & AI Observability Platform是一个端到端的数据可观测性平台,通过机器学习监控数据仓库、数据湖、ETL和商业智能中的数据问题,主动识别并评估影响,同时提供数据血缘和目录功能以支持数据治理。该平台帮助团队快速协作解决数据问题,确保数据的准确性和可靠性。
以上内容由遇见数据集搜集并总结生成



