"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 used to create, manage, and retrieve data from databases, including relational and non-relational databases.
Introduction to DBMS: Basics of DBMS, its components, and concepts like data model, data independence, data integrity, and security.
Relational Data Model: Understanding the fundamental concepts of a relational database, including entities, attributes, tables, and relationships.
Entity Relationship Diagram: Learning how to use E-R diagrams to model complex data structures and relationships in a database.
SQL: Structured Query Language - Understanding the syntax, structure, and functionality of SQL, a standard language used for managing relational databases.
Normalization: Understanding the normalization process to optimize the database design and reduce data redundancy.
Transaction Management: Learning the principles and techniques of transaction management, such as ACID properties, concurrency control, and recovery.
Database Design: Learning the principles of database design, including functional dependency analysis, normalization, and schema refinement.
Data Modeling: Learning how to design a conceptual data model for a real-world situation, analyzing it, and mapping it to a relational database.
Indexes: Understanding how to use indexes to speed up database queries and optimize performance.
Constraints: Understanding the role of constraints in DBMS, including primary, foreign, and unique keys, and how to use them to enforce data integrity.
Database Security: Understanding the principles and techniques of database security, including authentication, authorization, and data encryption.
Data Warehousing: Understanding the principles and techniques of data warehousing, including data mining, ETL, and OLAP.
Distributed Databases: Understanding the principles and techniques of distributed databases, including distribution transparency, replication, and fragmentation.
XML Databases: Understanding the principles and techniques of XML databases, including XQuery, XPath, and XSLT.
NoSQL Databases: Understanding the principles and techniques of NoSQL databases, including document, key-value, graph, and column-family databases.
Relational DBMS (RDBMS): A type of DBMS that stores data in tables, which are related to each other by key fields.
Object-oriented DBMS (OODBMS): A type of DBMS that uses object-oriented programming concepts to store and retrieve data.
Key-Value DBMS: A type of DBMS that stores data as key-value pairs and is commonly used for caching and small data sets.
Document DBMS: A type of DBMS that stores data in a document format, typically JSON or XML.
Graph DBMS: A type of DBMS that stores data in a graph format, where nodes represent entities and relationships represent the connections between those entities.
Time-series DBMS: A type of DBMS that is optimized for storing and querying time-series data, which is data that is time-stamped and holds a value or set of values.
Column-store DBMS: A type of DBMS that stores data in columns rather than rows, allowing for faster querying and compression.
In-memory DBMS: A type of DBMS that stores data in memory rather than on disk, for faster processing and response times.
Spatial DBMS: A type of DBMS that is optimized for storing and querying spatial data, such as maps and geospatial data.
Cloud DBMS: A type of DBMS that is optimized for use in cloud environments, typically using a pay-per-use model and scalable architecture.
"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."