- 1 What are the capabilities of database?
- 2 Why is a relational DBMS so powerful?
- 3 Why is a relational DBMS so powerful compared to a traditional file processing?
- 4 What might be the importance of creating and using a data dictionary with a large corporate database?
- 5 What are the 4 types of database?
- 6 What are database systems?
- 7 Why are relational databases important?
- 8 What is the difference between database and relational database?
- 9 Who is the founder of database?
- 10 What are four disadvantages of file processing systems?
- 11 What are the four 4 major characteristics of Rdbms?
- 12 What are examples of relational databases?
- 13 What is a data dictionary and why is it important?
- 14 What is a data dictionary example?
- 15 What is stored in data dictionary?
What are the capabilities of database?
Though functions of DBMS vary greatly, general-purpose DBMS features and capabilities should include: a user accessible catalog describing metadata, DBMS library management system, data abstraction and independence, data security, logging and auditing of activity, support for concurrency and transactions, support for
Why is a relational DBMS so powerful?
Relational databases are powerful because they require few assumptions about how data is related or how it will be extracted from the database. As a result, the same database can be viewed in many different ways. An important feature of relational systems is that a single database can be spread across several tables.
Why is a relational DBMS so powerful compared to a traditional file processing?
They support many-to-many relationships among entities. Relational DBMS are efficient for storing alphanumeric data that can be organized into structured fields and records, which are represented by attributes and tuples in two-dimensional tabular models.
What might be the importance of creating and using a data dictionary with a large corporate database?
Data dictionaries are important because they are a lasting source of information about each data element that helps ensure the credibility and quality of data.
What are the 4 types of database?
Four types of database management systems
- hierarchical database systems.
- network database systems.
- object-oriented database systems.
What are database systems?
A database is an organized collection of structured information, or data, typically stored electronically in a computer system. Together, the data and the DBMS, along with the applications that are associated with them, are referred to as a database system, often shortened to just database.
Why are relational databases important?
The primary benefit of the relational database approach is the ability to create meaningful information by joining the tables. Joining tables allows you to understand the relationships between the data, or how the tables connect. SQL includes the ability to count, add, group, and also combine queries.
What is the difference between database and relational database?
Database Management System (DBMS) is a software that is used to define, create and maintain a database and provides controlled access to the data. Relational Database Management System (RDBMS) is an advanced version of a DBMS. Difference between RDBMS and DBMS.
|DBMS does not support distributed database.||RDBMS supports distributed database.|
Who is the founder of database?
Edgar Frank “Ted” Codd (19 August 1923 – 18 April 2003) was an English computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases and relational database management systems.
What are four disadvantages of file processing systems?
Disadvantages of File Processing System:
- Slow access time –
- Presence of redundant data –
- Inconsistent Data –
- Data Integrity Problems –
- Difficulty in recovery of corrupt data –
- Lack of Atomicity –
- Problem in Concurrent Access –
What are the four 4 major characteristics of Rdbms?
Properties of relational databases
- Values are atomic.
- All of the values in a column have the same data type.
- Each row is unique.
- The sequence of columns is insignificant.
- The sequence of rows is insignificant.
- Each column has a unique name.
- Integrity constraints maintain data consistency across multiple tables.
What are examples of relational databases?
Popular examples of standard relational databases include Microsoft SQL Server, Oracle Database, MySQL and IBM DB2. Cloud-based relational databases, or database as a service, are also widely used because they enable companies to outsource database maintenance, patching and infrastructure support requirements.
What is a data dictionary and why is it important?
Data dictionaries are used to provide detailed information about the contents of a dataset or database, such as the names of measured variables, their data types or formats, and text descriptions. A data dictionary provides a concise guide to understanding and using the data.
What is a data dictionary example?
A data dictionary is a collection of descriptions of the data objects or items in a data model for the benefit of programmers and others who need to refer to them. For example, a bank or group of banks could model the data objects involved in consumer banking.
What is stored in data dictionary?
A data dictionary contains metadata i.e data about the database. The data dictionary is very important as it contains information such as what is in the database, who is allowed to access it, where is the database physically stored etc. Names of all the database tables and their schemas.