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It supports MySQL, Oracle, SQL Server, PostgreSQL, IBM Db2, Firebird, Interbase, HSQLDB, H2, Apache Derby, Informix, Greenplum, SQLite, Sybase ASE, and Sybase ASA. Licensed under both open source and commercial licenses. Daffodil Replicator is a Java tool for data synchronization, data migration, and data backup between various database servers.
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.
SQL refers to Structured Query Language, a kind of language used to access, update and manipulate database. In SQL, ROLLBACK is a command that causes all data changes since the last START TRANSACTION or BEGIN to be discarded by the relational database management systems (RDBMS), so that the state of the data is "rolled back" to the way it was before those changes were made.
Data migration is the process of selecting, preparing, extracting, and transforming data and permanently transferring it from one computer storage system to another. . Additionally, the validation of migrated data for completeness and the decommissioning of legacy data storage are considered part of the entire data migrati
Data synchronization is needed to update and keep multiple copies of a set of data coherent with one another or to maintain data integrity, Figure 3. [1] For example, database replication is used to keep multiple copies of data synchronized with database servers that store data in different locations.
Retransmission is a very simple concept. Whenever one party sends something to the other party, it retains a copy of the data it sent until the recipient has acknowledged that it received it. In a variety of circumstances the sender automatically retransmits the data using the retained copy. Reasons for resending include:
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Recovery is also related to the type of Data Loss Event. Recovering a single lost file is substantially different from recovering an entire system that was destroyed in a disaster. An effective backup regimen has some proportionality between the magnitude of Data Loss and the magnitude of effort required to recover.