DBMS

Data warehouse and data mart are the data collecting bodies but they differ from each other in several ways. The data warehouse collects data from several organization sources and provides meaningful business insight. While we can consider data mart as a subtype of a data warehouse that focuses on a specific subject and helps to […]

Data mining is a technique to turn raw data collected by a company, enterprise, or organization over years into useful information. Just as we mine gold from sand or rocks in a similar way, we mine information from the collected data that can be used for the benefit of the company. Data Mining: What is […]

Information lifecycle defines the changing value of information over a period of time. The value of information varies with time as the information that is valuable today may not be equally important tomorrow. Or the information that is of no use today may become more important tomorrow. Today we will discuss about the entire lifecycle […]

Data center infrastructure is the hardware resources that are used to store and manage a large amount of data. It includes computers, storage systems, networking hardware, power backups, and also the systems to regulate the environment such as air conditioners and fire suppression. Nowadays the big organization does not store data in one system instead […]

Information storage is a process of collecting, organizing, and storing the data into a data repository in a digital form, from where the data can be access to derive the information for business use. In this section, ahead we will discuss information storage right from the collection of raw data, how it is structured to […]

SQL queries are the questions or requests imposed on the set of data to retrieve the desired information. The language we use to build these queries is structured query language i.e. SQL. In this context, we will be discussing the structure of SQL queries and try to understand them with some examples. What is the […]

The data models describe the structure and organization of data in the database. It also defines the schema, the relation between the stored data, data consistency, and constraints that are applied to the stored data. A data model defines the structure of a database at a physical, logical, and view level. We can classify the […]