Which method should you recommend?

You have a database hosted on SQL Server 2012 R2.

The database contains 5 million rows.

You need to recommend a repeatable method to migrate the database to SQL Azure.

Which method should you recommend? More than one answer choice may achieve the goal. Select the BEST answer.
A . Create a SQL Server Integration Services (SSIS) package, and then run the package.
B . Back up the database, and then restore the database.
C . Extract a data-tier application, and then import the application.
D . Generate scripts to create all of the all database objects and all of the data, and then execute the scripts by using SQL Azure.

Answer: A

Explanation:

SQL Server Integration Services

Most flexibility

Data Transfer Efficiency:

Good

– SSIS can be used to perform a broad range of data migration tasks. SSIS provides support for complex workflow and data transformation between the source and destination. It is a good choice to transfer of data for databases that require many changes to work on Microsoft Azure SQL Database.

You can use SSIS data transfer packages with another mechanism for transferring the database schema, such as a Data-tier Application package.

Incorrect Answers:

D: Generate Scripts Wizard Has explicit option for Azure SQL Database scripts generation Data Transfer

Efficiency: Poor Good for smaller database

– Using the Generate Scripts wizard to migrate a SQL Server database to Azure SQL Database should be limited to:

Teams who have experience with the wizard.

Migrating simple databases that need few schema changes to run on Azure SQL Database.

The scripts generated from the source database can be modified before being used to create the new version of the database on Azure SQL Database, but using a database project in the SQL Server Data Tools has richer support for making schema changes.

Migrating small databases that do not have much data.

The wizard generates scripts that use insert statements instead of bulk copies to transfer the data. The insert statements can be throttled when the tables contain too much data, and are not as fast as bulk copies.

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