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How do I restore archived data?
Right-click the archive subclient on which you ran an archive job previously, and then click Browse and Restore. The Browse and Restore Options dialog box appears. Click View Content. Select the database tables that you want to restore, and click Recover All Selected.
How do you archival data in SQL Server?
Another way of doing this is by using the SWITCH command in the partition. To archive data using the SWITCH command, you need to create same table structure in same file group as the partition that you are about to archive as shown below. Next is to switch data to newly created table.
What is meant by data archiving and retrieval?
Data archiving is the process of collecting older data and moving it to a secure location so that it can be retrieved if needed in a data forensics investigation. Archives are distinct from backups. With archives, the data is moved to free up storage resources.
Why is archiving of data required?
The primary benefits of archiving data are: Reduced cost━data is typically stored on low performance, high capacity media with lower associated maintenance and operation costs. Better backup and restore performance━archiving removes data from backups, reducing their size and eliminating restoration of unnecessary files.
How to access archived data in SQL Server?
Move (insert and delete) the archive data to separate table (s) in another database on the server or to a separate database on another server Have users request access to the data for specific queries or change the application to use a linked server to access the archived data
How to archive SQL Server data with scale in mind?
This designs for scale immediately. Data come from an application or ETL layer and enter a database designed for that partition of data, such as that year when the data originated or a partitioned key like a geographical area. Outside of moving the databases, no archiving is necessary.
What are the challenges of archiving SQL Server data?
One major challenge in archiving is the impact to the databases and other requests. For example, let’s assume that you need to archive the year 2012 data from orders table. Since this is order table, you will have billions of records and year 2012 may have few millions of rows.
Is there a time window for archiving a database?
Because there’s a time window, the databases do not grow like in Scenario 1. The time window for this database (or table structure) determines what data are stored and no archiving is necessary, as we can simply backup and restore the database on a separate server if we need to migrate the data.