What are database security features? The security features protect one or more of the following database aspects: The physical location of the database server. The network infrastructure for accessing the database. The data inside the database.
What is database firewall? Database Firewalls are a kind of application firewall that monitors database traffic to detect and protect against database-specific attacks that primarily seek to access sensitive data held in the databases. Database Firewalls also allow for the monitoring and auditing of all access to cloud databases via logs.
Who maintains security of database? Each database can have an administrator, referred to as the security administrator, who is responsible for implementing and maintaining the database security policy If the database system is small, the database administrator can have the responsibilities of the security administrator.
What is data integrity problem? Data integrity may be compromised through: Human error, whether malicious or unintentional. Transfer errors, including unintended alterations or data compromise during transfer from one device to another. Bugs, viruses/malware, hacking, and other cyber threats. Compromised hardware, such as a device or disk crash.
What are database security features? – Additional Questions
What is Normalisation?
Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency.
What are the four types of data integrity?
There are mainly four types of Data Integrity:
- Domain Integrity.
- Entity Integrity.
- Referential Integrity.
- User-Defined Integrity.
What are the three database levels?
Three Level Architecture of Database
- Physical Level. This is the lowest level in the three level architecture.
- Conceptual Level. The conceptual level is at a higher level than the physical level.
- External Level. This is the highest level in the three level architecture and closest to the user.
What are the 3 types of schema?
Schema is of three types: Logical Schema, Physical Schema and view Schema. Logical Schema – It describes the database designed at logical level. Physical Schema – It describes the database designed at physical level. View Schema – It defines the design of the database at the view level.
What is normalization 1NF 2NF 3NF & Bcnf with examples?
A relation is in 1NF if it contains an atomic value. A relation will be in 2NF if it is in 1NF and all non-key attributes are fully functional dependent on the primary key. A relation will be in 3NF if it is in 2NF and no transition dependency exists. A stronger definition of 3NF is known as Boyce Codd’s normal form.
What is internal schema?
The internal schema defines the physical storage structure of the database. The internal schema is a very low-level representation of the entire database. It contains multiple occurrences of multiple types of internal record. In the ANSI term, it is also called “stored record’.
What is the 3 schema architecture?
What Does Three-Schema Architecture Mean? Three-schema architecture is an idea in relational database design that breaks a database down into three different categories according to its use and structure, and to the roles played by system administrators, designers and end users.
What is primary key in DBMS?
A primary key is the column or columns that contain values that uniquely identify each row in a table. A database table must have a primary key for Optim to insert, update, restore, or delete data from a database table.
What is a database schema?
A database schema is considered the “blueprint” of a database which describes how the data may relate to other tables or other data models. However, the schema does not actually contain data. A sample of data from a database at a single moment in time is known as a database instance.
How many schemas are there?
Schemas are repeated patterns of behavior that children exhibit in their play. There are nine schemas that are understood to be the most common in children’s play.
What is domain in DBMS?
Note: In DBMS a table is a combination of rows and columns in which we have some unique attribute names associated with it. And basically, a domain is a unique set of values present in a table.
What is difference between schema and instance?
Schema refers to the overall description of any given database. Instance basically refers to a collection of data and information that the database stores at any particular moment. The schema remains the same for the entire database as a whole.
What is difference between entity and attribute?
An entity type typically corresponds to one or several related tables in database. Attribute. A characteristic or trait of an entity type that describes the entity, for example, the Person entity type has the Date of Birth attribute. Record.
What is tuple in DBMS?
(1) In a relational database, a tuple is one record (one row). See record and relational database. (2) A set of values passed from one programming language to another application program or to a system program such as the operating system.
Can a database have multiple schemas?
In the Oracle database system, the term database schema, which is also known as “SQL schema,” has a different meaning. Here, a database can have multiple schemas (or “schemata,” if you’re feeling fancy). Each one contains all the objects created by a specific database user.
What is difference between database and schema?
The database is a collection of schema, records, and constraints for the tables. On the other hand, a schema contains the structure of tables, attributes, their types, constraints, and how they relate to other tables. The DDL statement is used to generate and modify the schema.
What is the difference between data model and schema?
The database schema is one that contains list of attributes and instructions to tell the database engine how data is organised whereas Data model is a collection of conceptional tools for describing data, data-relationship and consistency constraints.