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Professional Azure SQL Managed Database Administration

Professional Azure SQL Managed Database Administration

By : Ahmad Osama, Shakya
4.3 (3)
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Professional Azure SQL Managed Database Administration

Professional Azure SQL Managed Database Administration

4.3 (3)
By: Ahmad Osama, Shakya

Overview of this book

Despite being the cloud version of SQL Server, Azure SQL Database and Azure SQL Managed Instance stands out in various aspects when it comes to management, maintenance, and administration. Updated with the latest Azure features, Professional Azure SQL Managed Database Administration continues to be a comprehensive guide for becoming proficient in data management. The book begins by introducing you to the Azure SQL managed databases (Azure SQL Database and Azure SQL Managed Instance), explaining their architecture, and how they differ from an on-premises SQL server. You will then learn how to perform common tasks, such as migrating, backing up, and restoring a SQL Server database to an Azure database. As you progress, you will study how you can save costs and manage and scale multiple SQL databases using elastic pools. You will also implement a disaster recovery solution using standard and active geo-replication. Finally, you will explore the monitoring and tuning of databases, the key features of databases, and the phenomenon of app modernization. By the end of this book, you will have mastered the key aspects of an Azure SQL database and Azure SQL managed instance, including migration, backup restorations, performance optimization, high availability, and disaster recovery.
Table of Contents (14 chapters)
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13
Index

Activity: Implementing RLS

In this section, we will look at how to implement RLS using our example of ToyStore Ltd. Mike has been asked to implement RLS so that every customer is able to view and edit only their records. The CustomerAdmin user, however, should be allowed to view and edit all customer records. Follow these steps to complete the activity:

  1. Execute the following query to create the dpl.Customers table and populate it with sample records:
    CREATE TABLE Customers (
    CustomerID int identity, Name sysname, CreditCardNumber varchar(100), Phone varchar(100), Email varchar(100)
    )
    Go
    INSERT INTO Customers VALUES('Mike',0987654312345678,9876543210,'mike@
    outlook.com'), ('Mike',0987654356784567,9876549870,'mike1@outlook.
    com'), ('Mike',0984567431234567,9876567210,'[email protected]'), (' [email protected] ',0987654312345678,9876246210,'[email protected]'),
    ('[email protected] ',0987654123784567,9876656870...

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