雪花的自动化和受治理的数据产品交付

企业正在修改其业务流程，以收集重要数据，以便能够通过分析和数据科学团队推动业务洞察。为这些团队创建一个可靠且兼容的数据产品并不容易，数据网格是现代数据架构框架之一，它保证了向知识工作者交付数据产品的速度和灵活性。然而，由于数据环境的复杂性、各种知识、遵从性、隐私或基于安全的竖井、所需的大量手工工作以及业务和IT/DataOps团队之间的脱节，使用当前的技术堆栈实现数据网格几乎是不可能的。

DataOps.liveand Collibra want to bring you a solution where you don’t have to chose, and you are provided with automated data products delivery and fully responsible data governance team. DataOps.live provides an automated data “manufacturing” line and ability to involve Data Governance team to make sure data has enough context for Data Engineers and is responsibly treated by corporate policies. DataOps.live enriches the Collibra Data Governance platform’s assets with operational metadata, like the usage information, operation lineage and secure tagging information used by engineering teams done in Snowflake Data Cloud.