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Recovery Techniques:After Reading the types of failures and database errors, let us talk about how to recover from the failures. Recovery can be complete using/restoring the previous consistent state (backward recovery) or by moving forward to the next consistent state as per the committed transactions recovery (forward recovery). Please note that a system can recover from software and hardware failures by using the forward and backward recovery only if the system log is intact. What is the system log? We will talk about it in more detail, but first let us describe forward and backward recovery.
Discuss along with examples about several types of attributes present in the ER model? Types of Attributes are: • SIMPLE attributes are attributes which are drawn from the ato
Complexity : A distributed DBMS that is available, reliable, and secure is inherently more difficult than a centralised DBMS. Though, adequate data replication is essential to have
Consider a table student (std_id, std_name, date_of_birth, percent_marks, dept_name). Write a QBE query to display names of Computer Science department students who have scored mo
E-R model uses this symbol to represent weak entity set ? A Doubly outlined rectangle symbol is used to represent weak entity set.
Deadlock And Its Prevention: As seen earlier, though two phase locking protocol handles the trouble of serialisability, but it causes some troubles also. For instance, consider th
1) Define a job scheduling strategy that will meet business requirement of reporting availability by 6am CST for the following cubes? Show the job scheduling dependencies in a pict
can you please explain with the help of suitable example the difference between conflict equivalence and conflict serializability?
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MySQL statements for extending the database to incorporate new facilities Deliverables for submission You must submit the following deliverables in the Assignment Dropbox in
Explain the disadvantages of a file processing system? Ans: Disadvantages of File Processing Systems include: 1) Data Redundancy 2) Data Inconsistency 3) Difficult to acce
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