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Storage Analytics Data Retention Policy

Contents

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Introduction
1
Introduction
PREVIEW1m 33s
Data Classification & Protection
2
Data Classification Part 1
PREVIEW2m 3s
3
How to Protect Your Data
1m 12s
4
AIP Custom Rule
2m 29s
5
Data Classification Part 2
1m 7s
Data Sovereignty
11
Configuring Data Sovereignty
46s
Metrics and Risk
30
Metrics and Risk Tolerance
4m 42s
Summary
31
Summary
3m 21s

The course is part of this learning path

AZ-500 Exam Preparation: Microsoft Azure Security Technologies
course-steps
14certification
1lab-steps
4
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Overview
DifficultyIntermediate
Duration1h
Students452
Ratings
4.7/5
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Description

Microsoft Azure offers a wide range of options to secure and protect your data, regardless of the format. Whether you're dealing with documents, SQL databases or big data, there are multiple solutions ranging from authentication to virtual networks.
 
In this course, we will cover the protection of your data from external and internal threats, whether those threats be malicious or accidental. We will see how good design combined with the right configuration can secure your organization's most precious asset: its data.

Learning Objectives

  • Configure security policies to classify, protect, and manage data
  • Configure data retention for storage and databases
  • Set up Azure SQL security features and auditing
  • Learn how to configure storage account security and access
  • Learn how to secure HDInsight clusters
  • Configure Cosmos DB security
  • Configure Data Lake security
  • Learn good design features of an Azure application
  • See how Azure App Services can secure your app
  • See how a governance policy can help formalize security requirements

Intended Audience

  • People preparing for Microsoft’s AZ-500 exam
  • System administrators
  • App developers

Prerequisites

  • Experience with Microsoft Azure
  • Experience with Office 365
  • Basic knowledge of computer security principles
  • Basic networking knowledge

 

Transcript

Analytics and metrics data will be written until the shared 20TB limit is reached. When that happens, no new data will be written. You can free up space with a manual request to delete stored Analytics data, but this is billable. Alternately, you can set up a data retention policy for logging and metrics data. To set up a policy that deletes both logging and metrics data after seven days, make a request to the Set Blob Service Properties, Set Table Service Properties, or Set Queue Service Properties operation with the RetentionPolicy nodes configured like this. It is possible to configure blob storage metrics and logging through the Azure portal by going into your storage account and then into Diagnostic settings (classic).

About the Author

Hallam Webber

Software Architect
Students1479
Courses4

Hallam is a software architect with over 20 years experience across a wide range of industries. He began his software career as a  Delphi/Interbase disciple but changed his allegiance to Microsoft with its deep and broad ecosystem. While Hallam has designed and crafted custom software utilizing web, mobile and desktop technologies, good quality reliable data is the key to a successful solution. The challenge of quickly turning data into useful information for digestion by humans and machines has led Hallam to specialize in database design and process automation. Showing customers how leverage new technology to change and improve their business processes is one of the key drivers keeping Hallam coming back to the keyboard. 

Covered Topics

SQLSecurityDatabasesMicrosoft AzureDatabases for AzureSecurity for Azure