Evolution of Databases
File-Based
With the advent of databases in the early 1960s, they have undergone a significant evolution. The first systems used to store and edit data were navigational databases, such as the hierarchical database (which depended on a tree-like architecture and perFile-Based databases were first developed in 1968. Data in file-based databases was kept in flat files. Files provide a lot of benefits, but they also have some drawbacks.
The file system’s several access techniques, such as sequential, indexed, and random, are among its main advantages.
It calls for a lot of third-generation language programming, such BASIC or COBOL.
Hierarchical Data Model
The period of the Hierarchical Database was 1968–1980. IBM’s first DBMS was a prominent hierarchical database paradigm. The information management system, or IMS, was the name of it.
Network Data Model
Network data model Charles Bachman created the Integrated Data Store (IDS), Honeywell’s first database management system. Although it was created in the early 1960s, the Conference on Data Systems Languages, or CODASYL, standardised it in 1971.
Relational Database
Relational databases gained popularity in the 1980s, and object-oriented databases in the 1990s. NoSQL databases emerged more recently in response to the internet’s rapid expansion and the demand for unstructured data processing at a faster rate. These days, self-driving databases and cloud databases are revolutionizing the ways in which data is gathered, stored, handled, and used.
What is Database?
A database is an organized collection of data stored in a computer system and usually controlled by a database management system (DBMS). The data in common databases is modeled in tables, making querying and processing efficient. Structured query language (SQL) is commonly used for data querying and writing.
The Database is an essential part of our life. We encounter several activities that involve our interaction with databases, for example in the bank, in the railway station, in school, in a grocery store, etc. These are the instances where we need to store a large amount of data in one place and fetch these data easily.