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What is OLTP (Online Transaction Processing)?
In OLTP - online transaction processing systems relational database design use the discipline of data modeling and generally follow the Codd rules of data normalization in order to make sure absolute data integrity. Using these rules complex information is broken down into its most easy structures (a table) where all of the individual atomic level elements relate to each other and satisfy the normalization rules.
It defines that no primary key value can be null. This is as the primary key is used to recognize individual tuple in the relation. So we will not be able to recognize the records
Illustration of implementation of inheritance Let us take the illustration of implementation of inheritance. Suppose that we are about to implement the Stack class and by now w
Define granularity, hierarchy of granularity of locks & multiple granularity locking. Explain the modified two phase locking along with multiple granularity locking. Ans: The s
Q. Explain data aggregatio n and discuss different design constraints. Sol. Aggregation One limitation of the E-R model is that it cannot express relationships amon
Explain the Query Processing Data Query Processing permits a user to report or analyze structured and unstructured data pulled from multiple data sources.
explain multi key file organisation
Define the Two Phase Locking Protocol This is a protocol that is used to make sure serializability of transactions. This protocol needs that every transaction issue lock and u
Discuss the term- Design Optimization We have seen various ways of representing the objects.The fundamental design model uses analysis model as the framework for implementati
The Internal or Physical Level The collection of files permanently stored on secondary storage devices is called as the physical database. The internal or physical level is t
Define data conversion? Helpful to load data into temporary staging tables. Then can write SQL code to do much of data processing. SQL code is simpler and faster to write than
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