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Add generation capabilities and/or tailor the built-in functionality of generator. This enables you to produce "all" the test data for the MySQL tables you produced in the previous assignment. You do not need to populate data to the tables in this assignment (which will be the task in the next assignment) but you must become able to generate all the realistic data required for the proposed information analysis. You are not allowed to use other software tools (such as Microsoft Excel) to generate data. You are not allowed to use "existing data" to skip this assignment. Any non-trivial extension from the statistical viewpoint concerning the data nature (like the above assigned functionality) will receive extra credit.
a) Suppose we updated the catalog tables in real time, that is, after every update, insert, or delete SQL statement were executed-rather than only running RUNSTATS once every few
Explain Deadlock detection and recovery Deadlock Detection - A deadlock is said to take place when there is a circular chain of transaction, every waiting for the release of a
Rules Of Data Normalisation Let us now summarise Normalisation with the help of various clean rules. The following are the necessary rules for the Normalisation process: 1.
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Consider the relations EMPLOYEE(emp#, name) ASSIGNED_TO(project#, emp#) PROJECT(project#, project_name, chief) Express the subsequent queries in Relational Algebra (i) Ge
Create centralized relational database using bottom up method. (a) Recognize a single un-normalized relation for the above scenario. (b) Recognize the primary key for
The definition of the classes and operation can often be adjusted to increase the amount of inheritance". Justify the above statement. Adjustment of Inheritance The def
i need help with creating database system for a library
What are the advantages of Logical Databases? It offers a simple-to-use selection screens. You can change the pre-generated selection screen to your needs. It offers check f
Compare three clustering algorithms in Weka. For this comparison, you will need to use at least two different datasets. Run the algorithms on the datasets, and use the visual
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