Ketch Partners with Snowflake to Integrate Programmatic Privacy with Comprehensive Data Governance
November 16, 2021 at 09:44 am EST
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Ketch, announced its partnership with Snowflake and that it has become a Snowflake Accelerated Governance Partner. The partnership and product integrations empower mutual customers to do more with their data, while the designation recognizes Ketch?s innovations in data governance, and its unique approach to programmatic privacy. Companies must comply with rigorous privacy regulations around the storage and use of sensitive and personal data, including new categories of sensitive data defined by laws such as California?s CCPA and CPRA. The integration between Snowflake and Ketch allows joint customers to establish and proactively enforce governance policies that protect and secure the privacy of personal data. With robust data governance policies proactively enforced, data scientists can mobilize data for various analytics and AI initiatives and remain confident that they are in full compliance with regulations and internal company policy. To comply with privacy regulations, an important first step for companies is to understand what types of sensitive and personal data they have, and where that data is stored. Ketch provides ?always-on? data discovery and classification, leveraging Snowflake native features like object tags and labels to inform policy creation and enforcement. An important part of protecting sensitive data is knowing who has access to it, and how data flows across business systems. Ketch allows companies to ask and document: who has accessed data, and how it was used. Snowflake?s Access History capability will inform data lineage reporting in Ketch.
Snowflake Inc. is a Data Cloud company. The Companyâs platform is the technology that powers the Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful business insights, build data applications, and share data and data products. Its platform unifies data and supports a variety of workloads, including data warehousing, data lakes, and Unistore, as well as collaboration, data engineering, cybersecurity, data science and machine learning, and application development. The Company has developed technology across its platform, including managed service, storage, query capabilities, compute model, data sharing, global infrastructure, and integrated security. The Company also provides frictionless and governed data access so users can securely share data inside and outside of their organizations, generally without copying or moving the underlying data.