"A database is an organized collection of data (also known as a data store) stored and accessed electronically through the use of a database management system."
The software that manages the storage, organization, and retrieval of data in a database.
Introduction to Database Management Systems: Understanding the basic concepts of Database Management Systems (DBMS) such as data, database, DBMS, and types of DBMS.
Data Modeling: Understanding the different modeling techniques used in creating a database structure such as Entity-relationship modeling, Network modeling and Hierarchical modeling.
Relational Database Management Systems: Understanding the concepts of Relational DBMS, Relational Data Model, Normalization, and SQL programming language.
NoSQL Database Management Systems: Understanding the concepts of NoSQL database systems, and their advantages in contrast to Relational database systems.
Distributed Database Management Systems: Understanding the fundamental concepts of Distributed DBMS, its features, and its architectural models such as Client-server architecture, Peer-to-Peer architecture and Cloud-based architecture.
Database Design and Creation: Understanding the process of database design and creation, including defining data fields, data types, keys, constraints, and relationships.
Database Implementation and Optimization: Understanding the process of implementing a database, and how to optimize database performance by using indexing, caching, and other techniques.
Database Security and Management: Understanding the concepts of database security and management including data backup and recovery, user management, data privacy, and data accessibility.
Database Applications and their Integration: Understanding the concepts of database applications and their integration with other technology systems like web applications, cloud-based systems, and mobile devices.
Advanced Topics in Database Management: Understanding the advanced topics such as data warehousing, data analytics, Big Data, and Machine Learning-powered DBMS.
Relational Database Management System (RDBMS): It is the most commonly used type of DBMS, where data is stored in tables and relations can be established between different tables.
Object-Oriented Database Management System (OODBMS): It stores data in the form of objects, which can be manipulated using different programming languages.
Hierarchical Database Management System (HDBMS): It stores data in a tree-like structure, where each node can have multiple child nodes.
Network Database Management System (NDBMS): It stores data in a network-like structure, where each record can have multiple parent and child records.
Document-Oriented Database Management System (DODBMS): It stores data in documents or files, often in XML or JSON formats.
Distributed Database Management System (DDBMS): It is designed to manage data spread across multiple locations, often interconnected by a network.
NoSQL Database Management System: It uses a non-relational data model, allowing for greater flexibility and scalability.
Columnar Database Management System: It stores data by columns, making it suitable for handling large amounts of data.
Spatial Database Management System: It stores data related to geographic information, often used in GIS applications.
Time-Series Database Management System: It is designed to handle data that changes over time, such as stock prices, sensor data, or weather records.
Graph Database Management System: It stores data in the form of nodes and edges, making it suitable for handling complex relationships among data.
In-memory Database Management System: It stores data in memory rather than on disk, allowing for faster access and processing.
Cloud Database Management System: It is a DBMS that is hosted and managed in the cloud, allowing for greater accessibility, scalability, and cost-effectiveness.
Blockchain Database Management System: It stores data in a decentralized and immutable ledger, making it suitable for applications that require transparency and security.
"Small databases can be stored on a file system."
"Large databases are hosted on computer clusters or cloud storage."
"The design of databases spans formal techniques and practical considerations, including data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing issues."
"A database management system (DBMS) is the software that interacts with end users, applications, and the database itself to capture and analyze the data."
"The DBMS software additionally encompasses the core facilities provided to administer the database."
"The sum total of the database, the DBMS, and the associated applications can be referred to as a database system."
"Computer scientists may classify database management systems according to the database models that they support."
"Relational databases became dominant in the 1980s."
"These model data as rows and columns in a series of tables."
"The vast majority use SQL for writing and querying data."
"In the 2000s, non-relational databases became popular, collectively referred to as NoSQL."
"Non-relational databases use different query languages."
"Data is accessed electronically through the use of a database management system."
"Practical considerations in database design include data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing issues."
"The DBMS software interacts with end users, applications, and the database itself."
"The purpose of a database management system is to capture and analyze the data."
"One advantage of using a computer cluster or cloud storage for large databases is the ability to host them."
"Relational databases store data as rows and columns in a series of tables."
"Non-relational databases became popular due to their use of different query languages."