A programming language that supports relational databases is SQL (Structured Query Language)
Structured Query Language (SQL), is the principal method for communicating with Relational Databases.
A relational database is a group of data elements that are linked together by predefined connections. These elements are laid up in the form of a series of tables containing columns and rows.
- Tables are utilized for storing data about the items that will be displayed in the database.
- A column in a database contains a specific type of data, whereas a field records the actual value of an attribute.
- The table's rows indicate a collection of linked values for a single item or entity.
Each entry in a database can be assigned a unique identity known as a primary key, and rows from other tables can be linked together via foreign keys. This data may be accessible in a variety of ways without having to reorganize the database tables itself.
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Answer: (C) All of them.
Explanation:
All the given options are example of the transaction in the information system.
As, the money deposited in the bank account is the process that take place computerized for transaction purpose. Now a days we can easily done transaction through wire transfer at anywhere and anytime by using the information system technology.
Students can easily study online and also record their answers in the online test by using the information system technology.
Customers can also doing shopping online by adding various products and items in the online shopping cart by using various e-commerce websites like amazon, flip-cart etc.
Answer:
sum average and count is the answer
1. ughhhh not entirely sure but B, 2. again not entirely sure should be B as well and finally 3.is D remember these are not always the answer just most likely what one person thinks
Answer:
c. Attribute constraints
Explanation:
A data catalog identifies all of the following, except: "Attribute constraints"
The above statement is TRUE because a Data Catalog, a metadata management service, operates by searching for key data, understand and manage data for usefulness.
Data Catalog checks on the BigQuery datasets, tables, and views and checks both technical and business metadata by identifying the following attributes:
1. Data type
2. Range of values
3. Value for Instructor ID
