In today’s era known as the information age, data has become one of the most important resources in the world. Millions of gigabytes of new information are created every day, and we need advanced systems and technologies to collect, manage, and analyze this data. This topic highlights the importance and methods of working with data in modern technology.

Data Interpretation: What is data?

Data is a collection of information that has been gathered in the form of numbers, words, images, sounds, or videos. This information can be variable or constant, and it needs to be processed to be useful.

Types of Data

Structured Data:

Organized data arranged in rows and columns.

Modeling:

Customer Data Bank, Employee Information Center.

Unstructured Data:

Data is not of a specific pattern

Sample: Free text, image, video, social media posts

Semi-structured Data:

Overlap between the two

Example: JSON and XML files

Data collection techniques

Traditional data banks

Relational database systems:

Using tables to collect information

SQL time for searching and management

Example: MySQL, PostgreSQL, Oracle

Reasons for the complaint:

1. Transparency and information protection.

2. Simplicity of use.3. Advanced community support.

4. Non-relational databases (NoSQL Databases)

Types of NoSQL:

Document-based: MongoDB, CouchDB
Key-Value: Redis, DynamoDB
Column-family: Cassandra, HBase
Graph: Neo4j, Amazon Neptune