Data Engineering on Microsoft Azure: Data Policies & Standards
Azure 2021
| Intermediate
- 11 videos | 1h 7m 14s
- Includes Assessment
- Earns a Badge
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
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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
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1m 27s
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12m 33s8ee0cab4-6ad7-4405-9aa9-49ea4d8542a7 FREE ACCESS
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3. Azure SQL Database Transparent Data Encryption8m 8se5710223-ba21-4386-b5b8-58b2aa8350be FREE ACCESS
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4. Azure SQL Database Always Encrypted6m 28s79bc34f4-2e7a-422c-852c-48446f7a73c7 FREE ACCESS
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5. Data Classification and Dynamic Masking9m 45sadcde3ac-86ee-4350-aa01-fb2cdcd49d12 FREE ACCESS
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6. Data Retention Strategies5m 26s142636ee-6a76-4dbf-97fb-519b4f6262f7 FREE ACCESS
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7. Data Purge in Azure Data Explorer5m 14s8d769798-24bf-4847-9f73-ab39ca8ea4ba FREE ACCESS
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8. Azure Data Lake Storage Access Control6m 8s4ad82894-1711-42e4-834b-c5640b8f05f4 FREE ACCESS
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9. Data Auditing Strategy5m 36sca555589-87fe-487a-a1c3-1243c3933a74 FREE ACCESS
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10. Row-Level Security5m 31s0eac0d62-dfe2-478f-8ed0-d289a92209e7 FREE ACCESS
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11. Course Summary58s75aa3537-aa49-409c-a193-c1db12817ffa FREE ACCESS
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