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[1] [2] [3] Note for example Windows XP's capability to restore operating-system settings from a past date (for instance, before data corruption occurred). Time Machine for Mac OS X provides another example of point-in-time recovery.
The development of the product began in 2014 as a grassroots incubation project in the Israeli R&D center of Microsoft, [12] with the internal code name 'Kusto' [9] [7] (named after Jacques Cousteau, as a reference to "exploring the ocean of data"). The project aim was to address Azure services' needs for fast and scalable log and telemetry ...
Create, or add new entries; Read, retrieve, search, or view existing entries; Update, or edit existing entries; Delete, deactivate, or remove existing entries; Because these operations are so fundamental, they are often documented and described under one comprehensive heading such as "contact management" or "document management" in general ...
The characteristics of the database itself are taken into consideration when attempting preservation of said database. Relational databases are made up of tables which contain data in records and these tables then connect to one another through common data points that are stored in their records. [3]
The most common data recovery scenarios involve an operating system failure, malfunction of a storage device, logical failure of storage devices, accidental damage or deletion, etc. (typically, on a single-drive, single-partition, single-OS system), in which case the ultimate goal is simply to copy all important files from the damaged media to another new drive.
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a backup that only contains the files that have changed since the most recent backup (either full or incremental). The advantage of this is quicker backup times, as only changed files need to be saved. The disadvantage is longer recovery times, as the latest full backup, and all incremental backups up to the date of data loss need to be restored.
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