Databricks Data Privacy
This content provides a comprehensive guide to managing data privacy within Databricks. It covers key topics like Delta Lake architecture, regional data isolation, GDPR/CCPA compliance, and Change Data Feed (CDF) usage. Through practical demos and hands-on labs, participants learn to use Unity Catalog features for securing sensitive data and ensuring compliance, empowering them to safeguard data integrity effectively.
Languages Available: English | 日本語 | Português BR | 한국어
• Ability to perform basic code development tasks using the Databricks Data Engineering & Data Science workspace (create clusters, run code in notebooks, use basic notebook operations, import repos from git, etc)
• Intermediate programming experience with PySpark
• Extract data from a variety of file formats and data sources
• Apply a number of common transformations to clean data
• Reshape and manipulate complex data using advanced built-in functions
• Intermediate programming experience with Delta Lake (create tables, perform complete and incremental updates, compact files, restore previous versions etc.)
• Beginner experience configuring and scheduling data pipelines using the Delta Live Tables (DLT) UI
• Beginner experience defining Delta Live Tables pipelines using PySpark
• Ingest and process data using Auto Loader and PySpark syntax
• Process Change Data Capture feeds with APPLY CHANGES INTO syntax
• Review pipeline event logs and results to troubleshoot DLT syntax
Outline
1. Storing Data Securely
• Regulatory Compliance
• Data Privacy
2. Unity Catalog
• Key Concepts and Components
• Audit Your Data
• Data Isolation
• Securing Data in Unity Catalog
3. PII Data Security
• Pseudonymization & Anonymization
• Summary & Best Practices
• PII Data Security
4. Streaming Data and CDF
• Capturing Changed Data
• Deleting Data in Databricks
• Processing Records from CDF and Propagating Changes
• Propagating Changes with CDF Lab
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Jul 16 | 01 PM - 05 PM (Australia/Sydney) | - | English | $750.00 |
Jul 16 | 09 AM - 01 PM (America/New_York) | - | English | $750.00 |
Aug 12 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Aug 12 | 09 AM - 01 PM (America/Los_Angeles) | - | English | $750.00 |
Aug 19 | 09 AM - 01 PM (Asia/Singapore) | - | English | $750.00 |
Sep 09 | 01 PM - 05 PM (Australia/Sydney) | - | English | $750.00 |
Sep 09 | 01 PM - 05 PM (Europe/Paris) | - | English | $750.00 |
Sep 09 | 09 AM - 01 PM (America/New_York) | - | English | $750.00 |
Oct 14 | 09 AM - 01 PM (Asia/Kolkata) | - | English | $750.00 |
Oct 14 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Oct 14 | 01 PM - 05 PM (America/New_York) | - | English | $750.00 |
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