Database normalization, or data normalization, is a technique to organize the contents of the tables for transactional databases and data warehouses. Normalization is part of successful database design; without normalization, database systems can be inaccurate, slow, and inefficient, and they might not produce the data you expect.
The plural of sag is sags, not sag's! Sag is caused by the weight of the conductor between its supports, and is (a) unavoidable and (b) necessary to allow for the conductor's expansion and contraction during variations in temperature. When surveyors design a power line, the amount of necessary sag is calculated and built into the design, while ensuring that the clearance between the conductor and the ground remains within safe limits.
No it is not necessary... it is of BCE candidated only.....
A producible design is the output of the product development and design engineering systems that focus on manufacturability and cost-effectiveness. It integrates requirements from various disciplines, including materials science, assembly processes, and quality assurance, to ensure that the design can be efficiently produced at scale. Additionally, collaboration with manufacturing teams during the design phase helps identify potential production challenges and optimizes the design for practical implementation.
True
Exception handling is necessary for string handling as there might be some unexpected situation during string handling which may lead to program crash or abrupt termination
i am not aware about it.if u get to know then let me know
There are many reasons why this could occur, Just a few: Changes or clarification of user requirements Expansion of project scope Budgetary constraints invalidating original assumptions Testing demonstrating unacceptable query processing time
Aggregation is an important concept in database design where composite objects can be modelled during the design of database applications. Therefore, preserving the aggregation concept in database implementation is essential. In this paper, we propose models for implementation of aggregation in an Object-Relational Database Management System (ORDBMS) through the use of index clusters and nested tables. ORDBMS is a commercial Relational Database Management Systems (RDBMS), like Oracle, which support some object-oriented concepts. We will also show how queries can be performed on index clusters and nested tables.
Disadvantages of database migration can include potential data loss or corruption during the migration process, extended downtime for applications relying on the database being migrated, and compatibility issues with the new database system leading to performance degradation. Planning and testing are crucial to mitigate these risks.
to reduce clutter and paper work which was tedious and time consuming both during logging and retrieval of data and information.
The plural of sag is sags, not sag's! Sag is caused by the weight of the conductor between its supports, and is (a) unavoidable and (b) necessary to allow for the conductor's expansion and contraction during variations in temperature. When surveyors design a power line, the amount of necessary sag is calculated and built into the design, while ensuring that the clearance between the conductor and the ground remains within safe limits.
In a database we can create 255 maximum redo log files Depends on what you specified for MAXLOGFILES during database creation (manually) or what you specified for "Maximum no. of redo log files" with DBCA. sri
Mock test is necessary to see where you stand during preparations.
The output design during system design usually communicates all the important milestones and problems that arise during system testing. Output design proposes to the system; some remedies to various possibilities. For example, a system can print any error message that occurs and report it to an administrator.
During the operation of a relational database management system (RDBMS), two key files used are the data file or database file, which stores the actual data in tables, and the transaction log file, which records all changes made to the database to ensure data integrity and provide recovery in case of failures.
deferred-write: The transaction do not immediate update database, instead, only update log file. Then when transaction reach commit point, it will update the physical database. write-through: The database is update right away during the transaction execution.
shed their knapsacks and everything but necessary equipment