Data Engineering on Microsoft Azure: Data Policies & Standards

Azure    |    Intermediate
  • 11 videos | 1h 7m 14s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 28 users Rating 4.6 of 28 users (28)
Data policies and standards help to ensure a repeatable security standard is maintained. In this course, you'll learn about data encryption scenarios and best practices. You'll explore how Azure Transparent Database Encryption and Always Encrypted can be used to ensure data at rest is protected. Next, you'll examine how data classification and data masking can protect data being viewed. You'll learn to configure data retention and purging to ensure data is retained or removed. You'll also explore the various means of controlling access to Azure Data Lake Storage Gen2. Finally, you'll learn how to plan a data auditing strategy and how to limit access to data at the row level in a database. 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 scenarios for encrypting data and the best practices for utilizing disk encryption on azure
    Describe how transparent data encryption can be used to encrypt an azure sql database, azure sql managed instance, and azure synapse analytics database at rest
    Describe the always encrypted feature that client applications can use to encrypt data stored in azure sql database
    Describe how dynamic data masking and classification can identify sensitive data and mask sensitive data in azure sql database, azure sql managed instance, and azure synapse analytics
    Describe best practices for defining a data retention policy
  • Describe guidelines, processes, limitations, and considerations for performing a data purge in azure data explorer
    Recognize the options for controlling access to azure data lake
    Describe what should be audited for and how technologies on the azure platform can enable an auditing strategy
    Describe how row-level security in azure sql database implements restrictions on access to data rows
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 27s
  • 12m 33s
    8ee0cab4-6ad7-4405-9aa9-49ea4d8542a7 FREE ACCESS
  • Locked
    3.  Azure SQL Database Transparent Data Encryption
    8m 8s
    e5710223-ba21-4386-b5b8-58b2aa8350be FREE ACCESS
  • Locked
    4.  Azure SQL Database Always Encrypted
    6m 28s
    79bc34f4-2e7a-422c-852c-48446f7a73c7 FREE ACCESS
  • Locked
    5.  Data Classification and Dynamic Masking
    9m 45s
    adcde3ac-86ee-4350-aa01-fb2cdcd49d12 FREE ACCESS
  • Locked
    6.  Data Retention Strategies
    5m 26s
    142636ee-6a76-4dbf-97fb-519b4f6262f7 FREE ACCESS
  • Locked
    7.  Data Purge in Azure Data Explorer
    5m 14s
    8d769798-24bf-4847-9f73-ab39ca8ea4ba FREE ACCESS
  • Locked
    8.  Azure Data Lake Storage Access Control
    6m 8s
    4ad82894-1711-42e4-834b-c5640b8f05f4 FREE ACCESS
  • Locked
    9.  Data Auditing Strategy
    5m 36s
    ca555589-87fe-487a-a1c3-1243c3933a74 FREE ACCESS
  • Locked
    10.  Row-Level Security
    5m 31s
    0eac0d62-dfe2-478f-8ed0-d289a92209e7 FREE ACCESS
  • Locked
    11.  Course Summary
    58s
    75aa3537-aa49-409c-a193-c1db12817ffa FREE ACCESS

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