Encryption and Masking for Sensitive Apache Spark Analytics Addressing CCPA and Governance

Description

Data protection requires a balance between encryption and analytics. Encrypted data is protected but limits its value. In the session we will provide a variety of practical methods that enable to encrypt the data (as required for HIPAA, CCPA, PCI and data cross border controls) - yet maintaining its analytics power. These methods include encryption at-rest and in-use, dynamic masking, selective value searches of encrypted columns and column/row level filtering (for 'Right of erasure'.) Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

Description from YouTube. Full content on the video page.