Data Engineering on Microsoft Azure: Securing Data

Azure 2021
  • 11 Videos | 1h 25m 58s
  • Includes Assessment
  • Earns a Badge
The final line of defense for protecting against a data breach is securing the data itself. With today's cloud environments, data is often in transit, duplicated, and stored in various data centers around the world, making effective data protection a challenge. In this course, you'll explore the various methods available for encrypting data stored in SQL databases. You'll examine how to use DataFrames in Databricks, as well as how to implement Advanced Threat Protection and dynamic data masking in Azure databases. Finally, you'll learn how immutable blobs can be used to manage sensitive information. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe the tools used by Azure to encrypt data across the platform
    manage Transparent Data Encryption on Azure SQL Databases
    describe how Always Encrypted is used by the database engine to process queries on encrypted data
    enable Always Encrypted on an Azure SQL Database
    encrypt single columns in an Azure SQL Database
  • use group membership to control access to Azure SQL Database rows
    use DataFrames in Databricks to perform mixed functions
    configure Advanced Threat Protection and dynamic data masking in an Azure SQL Database, Azure SQL Managed Instance, or Azure Synapse Analytics instance
    utilize immutable storage on Azure Blob storage to store business data in a manner that cannot be erased or modified to meet time-based or legal holds
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 26s
    UP NEXT
  • Playable
    2. 
    Azure Data Encryption
    6m 37s
  • Locked
    3. 
    Managing Transparent Data Encryption
    7m 15s
  • Locked
    4. 
    Database Encryption
    5m 18s
  • Locked
    5. 
    Implementing Always Encrypted
    10m 25s
  • Locked
    6. 
    Encrypting Database Columns
    7m 38s
  • Locked
    7. 
    Applying Row-level Security
    14m 2s
  • Locked
    8. 
    Working with DataFrames
    10m 19s
  • Locked
    9. 
    Securing Azure Database Data
    11m 56s
  • Locked
    10. 
    Utilizing Immutable Blobs
    5m 28s
  • Locked
    11. 
    Course Summary
    1m 5s

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