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What is Log Shipping?
Log shipping is the method of automating the backup of database and transaction log files on a production SQL server, and then restoring them onto a standby server. Enterprise Editions only supports log shipping. In log shipping the transactional log file from single server is automatically updated into the backup database on the other server.
If single server fails, the other server will have the similar db and can be used this as the Disaster Recovery plan. The key feature of log shipping is that it will automatically backup transaction logs throughout the day and automatically restore them on the standby server at explained interval.
What is foreign key? Foreign Key - Let there are two relations in tables R and S. Any candidate key of the relation R that is referred in the relation S is known as the forei
Timestamp Ordering Protocol A timestamp is a tag that can be attached to any transaction or any data item, which indicates a specific time on which the transaction or data item
Table_Name( attribute_1, attribute_2, attribute_3, ….. ,attribute_x) Primary Key ( attribute_1, attribute_2) Foreign Key attribute_4 References Table_Name_2 (repeat for each fore
Define instance and schema? Instance: Collection of data stored in the data base at a certain moment is Schema: The overall design of the data base is known as the data base
as a customer service employee explain five measures you would recommend to make even a displeased students patronize the school canteen
Hierarchical model is also known by? A hierarchical model is also known as a Tree structure.
Compare the two log-based recovery schemes in terms of ease of implementation and overhead cost. Ans: There are two types of log based recovery techniques: deferred update
Which language has presently become the defacto standard for interfacing application programs along with relational database system? The language which has recently become the
What is Relational Algebra? Relational algebra is a Procedural query Language?
Selective replication: This is a combination of generating small fragments of relation and replicating them rather than a entire relation. The data should be fragmented on require
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