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 coursedescribe scenarios for encrypting data and the best practices for utilizing disk encryption on Azuredescribe how Transparent Data Encryption can be used to encrypt an Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics database at restdescribe the Always Encrypted feature that client applications can use to encrypt data stored in Azure SQL Databasedescribe 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 Analyticsdescribe best practices for defining a data retention policy
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describe guidelines, processes, limitations, and considerations for performing a data purge in Azure Data Explorerrecognize the options for controlling access to Azure Data Lakedescribe what should be audited for and how technologies on the Azure platform can enable an auditing strategydescribe how Row-Level Security in Azure SQL Database implements restrictions on access to data rowssummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 27sUP NEXT
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2.Data Encryption Scenarios and Best Practices12m 33s
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3.Azure SQL Database Transparent Data Encryption8m 8s
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4.Azure SQL Database Always Encrypted6m 28s
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5.Data Classification and Dynamic Masking9m 45s
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6.Data Retention Strategies5m 26s
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7.Data Purge in Azure Data Explorer5m 14s
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8.Azure Data Lake Storage Access Control6m 8s
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9.Data Auditing Strategy5m 36s
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10.Row-Level Security5m 31s
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11.Course Summary58s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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