In this kind of architecture multiple processors, memory drives, and storage disks are associated to collaborate with each other and work as a single unit. In this type of database system, the hardware profile is designed to fulfill all the requirements of the database and user transactions to speed up the process. The arrangement of …
Parallel Database Architecture in DBMS – Advantages & Disadvantages Read More »
Any real-world object with self-existence is considered an entity in the computer world. Like a car, any person, any book, painting, news, building anything which is available in this world can be considered as an entity. Characteristics or specifications of any entity are known as attributes of that entity. Attributes are physical or virtual properties …
A database is a sorted collection of structured information so that it can be easily accessed and controlled. DB is the short form of a database. It is usually controlled by a database management system (DBMS). Data in databases is typically stored in the form of rows and columns in a series of tables to …
After the discovery of computers, the online database came into existence. Before that the all data was kept on paper. It was like a manual database. It needs lots of time and manpower. It was not very secure. Most of the paper stored data has been burnt, eaten by insects and rats, or lost. In …
View is made by ‘Create View’ command and is a virtual table. View, the virtual data have the data extracted from the query expression in the ‘Create View’ command. A “view” can be made from one or more basic views or tables. Views can be questioned when you query the unique base table. Materialized View …
While OLTP is an acronym for online transaction processing (OLTP), OLAP is an acronym for online analytical processing (OLAP). Both OLTP and OLAP are online processing systems. There is a fundamental distinction between OLTP and OLAP in that while OLTP is concerned with transaction processing, OLAP is much more concerned with analytical processing. Transactions are …
Data warehousing and data mining are two popular and essential techniques to store and analyze data. Data warehousing refers to the compiling and organizing of the stored data in the company’s database. However, data mining represents extracting essential and relevant data from the database. So, the marketing or other departments can get some crucial insights …
Difference between Data Warehousing and Data Mining Read More »
Relational and non-relational are two major types of databases use to store their crucial data in managed format. Both have some similarities, but still, both databases are entirely different from each other. One of the significant differences between relational and non-relational databases is that the relational database organizes and stores the data in tabular format. …
