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  • Book Overview & Buying Professional Azure SQL Database Administration
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Professional Azure SQL Database Administration

Professional Azure SQL Database Administration

By : Ahmad Osama
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Professional Azure SQL Database Administration

Professional Azure SQL Database Administration

5 (2)
By: Ahmad Osama

Overview of this book

As the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. It’s important to know how to administer SQL Database to fully benefit from all of the features and functionality that it provides. This book addresses important aspects of an Azure SQL Database instance such as migration, backup restorations, pricing policies, security, scalability, monitoring, performance optimization, high availability, and disaster recovery. It is a complete guide for database administrators, and ideal for those who are planning to migrate from on premise SQL Server database to an Azure SQL Server database.
Table of Contents (11 chapters)
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1
1. Microsoft Azure SQL Database Primer
4
4. Restoring an Azure SQL Database
10
Index

Horizontal Scaling


Horizontal scaling or sharding refers to partitioning the data from one single big table in a database, across multiple independent databases based on a sharding or partitioning key. For example, a customer table is partitioned across multiple independent databases on CustomerID. Each independent database stores data for one or more customers.

Horizontal scaling can be helpful when:

  • The data is too big to fit in one single database.

  • The data is to be distributed to different locations for improved performance or for compliance. For example, European customers will get improved performance if their data is in a European data center rather than an Asian data center.

  • Isolating tenants or customers to a database of their own for better management and performance. If all of the customer data is in a single database and there is a blocking in the database because of a transaction made for a customer, say X, then all of the other customer queries will have to wait for the blocking...

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