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Google Cloud Data Catalog essentials: Identifying PII with Cloud DLP integration

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Google Cloud
-
November 5, 2020
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    Bitninja


    Learn more → https://goo.gle/3mT0WVU

    Increased regulatory and compliance requirements mean that protecting sensitive data is top of mind for many organizations. Data Catalog’s integration with Cloud Data Loss Prevention or DLP makes it easy to quickly discover PII information and catalog it accordingly. In this video we dive into how Data Catalog helps you manage your sensitive datasets. Data Catalog is a fully managed and scalable data discovery and metadata management service that empowers organizations to quickly discover, understand, and manage all their data in Google Cloud.

    Timestamps:
    0:00 – Intro
    1:00 – Cloud DLP overview
    1:40 – Demo
    1:54 – Conclusion

    Watch more videos like this → https://goo.gle/32h7uFY
    Subscribe to Google Cloud Platform→ https://goo.gle/GCP

    product: Google Cloud Data Catalog, Cloud DLP; fullname: Anita Kibunguchy;


    Duration: 00:02:05
    Publisher: Google Cloud
    You can watch this video also at the source.


    • TAGS
    • Anita Kibunguchy
    • business data management
    • Catalog
    • cloud
    • Cloud DLP
    • Cloud DLP Data Catalog integration
    • Data
    • Data Catalog
    • data catalog Cloud
    • data catalog google
    • data discovery
    • data security
    • data warehouse
    • dlp
    • enterprise data management
    • essentials
    • Google
    • google cloud
    • Google Cloud Data Catalog
    • Google Data Catalog overview
    • how to identify data with Cloud DLP
    • how to use Cloud DLP in data catalog
    • Identifying
    • identity and access management
    • integration
    • metadata management
    • PII
    • schematized tags
    • Video
    • what is Google Cloud Data Catalog
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      Previous articleWelcome to Cisco at IT Nation Connect 2020
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      Google Cloud
      Google Cloud
      Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.

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