The choice of a database is typically determined by factors such as the specific use case, scalability requirements, data structure complexity, performance needs, budget constraints, and compatibility with existing systems. Different databases, such as relational, NoSQL, and NewSQL, offer unique features that can cater to different needs. Consulting with a database architect or analyst can help in making an informed decision based on these factors.
A "schema-on-read" database is one that allows users to define the structure of the data as they access it, rather than enforcing a predefined schema. This approach allows for flexibility in data organization and analysis, making it a popular choice for big data and analytics applications.
Data dependency in DBMS refers to the relationship between different data elements within a database. There are three main types: functional dependency (one attribute determines another), partial dependency (part of a composite key determines other attributes), and transitive dependency (dependency between non-key attributes). Understanding data dependencies is crucial for database normalization and maintaining data integrity.
The data type of a field determines the kind of data it can contain. For example, a field with a data type of "Text" can contain letters and numbers, while a field with a data type of "Number" can only contain numerical values. The data type is set when designing the database schema.
A database field format refers to the data type and structure used to define a specific field within a database table. It determines how data is stored, validated, and interpreted within that field, such as text, numbers, dates, or binary data. Common field formats include VARCHAR for variable-length text, INT for integers, and DATE for dates.
The database state refers to the current data stored in the database, including all records and their values. On the other hand, the database schema refers to the structure of the database, including tables, columns, constraints, and relationships. The schema defines how the data is organized and stored in the database.
A database is a bad application choice for editing graphics, because it does not have that capability.
nothing that i can think of
its size and variety
A map maker's choice of scale is often determined by the amount of detail they want to show on the map, as well as the size of the area being represented. Large-scale maps show more detail for a smaller area, while small-scale maps provide a broader view of a larger area. Additionally, practical considerations such as legibility and the map's intended use also play a role in determining the scale.
A database.
You use a ruler or tape measure to measure this in units of choice
There are many effects. It determines the rest of your life. There are more things that a career choice affects than can be listed here.
There are many effects. It determines the rest of your life. There are more things that a career choice affects than can be listed here.
The team of his choice.
That depends on your project. If your project has simple database, tables and queries then mysql would be the ideal choice. If there is complexity involved then use of mysqli or PDO is better.
A database checkpoint is where all committed transactions are written to the redo/audit logs. The database administrator determines the frequency of the checkpoints based on volume of transactions. Too frequent checkpoints affect performance. Checkpoints that are too long in between will cause a longer mean time to recovery because more logs will have to be applied.
Asking a multiple choice question without providing the choices doesn't really seem fair.