Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Database Articles
Page 118 of 547
Referential Integrity Rule in RDBMS
The Referential Integrity Rule in RDBMS is based on the relationship between Primary Keys and Foreign Keys. The rule states that a foreign key in one table must have a matching valid primary key in the referenced table, ensuring that references between tables are always valid. Referential Integrity Rule Referential integrity ensures that relationships between tables remain consistent. Specifically − A foreign key value must either match an existing primary key value in the referenced table, or be NULL. You cannot insert a foreign key value that does not exist in the referenced table. You cannot ...
Read MoreFuture of RDBMS
While Big Data and NoSQL databases have become popular choices for modern data solutions, the crucial features of RDBMS ensure it remains relevant and widely used. RDBMS is designed to handle structured data with ACID compliance, making it indispensable for applications requiring data integrity and consistency. Why RDBMS Still Matters The RDBMS market continues to grow with approximately 9% annual growth, as reported by Gartner. Although a massive volume of the world's data has been produced in recent years, most business-critical data remains structured − financial records, customer information, inventory, and transactions − all of which are best ...
Read MoreDifference between RDBMS and MongoDB
RDBMS (Relational Database Management System) stores data in structured tables with rows and columns, using SQL to query databases. MongoDB is a NoSQL document-oriented database that stores data as BSON (Binary JSON) documents with dynamic schemas, using its own query language (MQL). RDBMS RDBMS stores data as entities in tables. It provides multiple layers of information security and uses primary keys to uniquely identify records and foreign keys to define relationships between tables. RDBMS follows the ACID principle (Atomicity, Consistency, Isolation, Durability). Examples include Oracle, SQL Server, and MySQL. MongoDB MongoDB is an open-source NoSQL database ...
Read MoreDifference between SQL and PL/SQL
SQL (Structured Query Language) is a standard database language used to create, maintain, and retrieve data from relational databases. PL/SQL (Procedural Language extension to SQL) extends SQL by adding procedural capabilities like variables, loops, conditions, and error handling. SQL Example SQL executes a single declarative statement at a time ? -- SQL: single operation, declarative SELECT name, salary FROM employees WHERE department = 'Engineering'; PL/SQL Example PL/SQL can execute multiple operations with procedural logic ? -- PL/SQL: procedural block with variables, loops, conditions DECLARE v_name employees.name%TYPE; ...
Read MoreDifference between MySQL and MongoDB
MySQL is a relational database management system (RDBMS) that stores data in structured tables with rows and columns. MongoDB is a NoSQL document database that stores data as flexible JSON-like documents. Both are widely used but serve different use cases. MySQL MySQL is an open-source relational database owned by Oracle. It uses SQL (Structured Query Language) to query and manage data stored in predefined tables with fixed schemas. MySQL enforces data integrity through relationships, constraints, and joins. MongoDB MongoDB is an open-source NoSQL database developed by MongoDB Inc. It stores data as BSON (Binary JSON) documents ...
Read MoreDifference between Inverted Index and Forward Index
Inverted Index and Forward Index are data structures used to search text within a document or a collection of documents. They differ in how they map the relationship between words and documents − one indexes by word, the other by document. Forward Index A forward index stores the document name as the key and maps it to the list of words contained in that document. It answers the question: "What words does this document contain?" Inverted Index An inverted index stores each word as the key and maps it to the list of documents that contain ...
Read MoreDifference between Static SQL and Dynamic SQL
Static SQL and Dynamic SQL are two approaches to writing SQL statements in applications. Static SQL uses fixed, hard-coded queries known at compile time, while Dynamic SQL constructs queries at runtime based on user input or program logic. Static SQL Static SQL refers to SQL statements that are fixed and hard-coded into the application. Since the queries are known at compile time, they can be pre-analyzed, optimized, and do not require special security handling. Example -- Static SQL: query is fixed at compile time SELECT name, salary FROM employees WHERE department = 'Engineering'; ...
Read MoreDifference between OLAP and OLTP
OLAP (On-Line Analytical Processing) and OLTP (On-Line Transactional Processing) are two different approaches to database processing. OLAP is designed for complex data analysis and reporting, while OLTP is designed for managing high volumes of fast, short transactions. OLAP (On-Line Analytical Processing) OLAP is used for analysis of database information from multiple sources. It supports complex queries for sales analysis, forecasting, market research, budgeting, and business intelligence. OLAP uses data warehouses with denormalized tables optimized for read-heavy analytical queries. OLTP (On-Line Transactional Processing) OLTP is used for maintaining online transactions and ensuring data integrity in multi-user environments. ...
Read MoreDifference between monolithic and microservices architecture
Monolithic and Microservices are two different architectural approaches for building software applications. A monolithic architecture builds the entire application as a single, tightly coupled unit, while microservices architecture breaks it into small, independent services based on business functionality. Monolithic Architecture Monolithic architecture is built as one large system, usually as a single codebase. All components (UI, business logic, data access) are tightly coupled and deployed together. As the application grows, it becomes difficult to isolate services for independent scaling, and changing technology or frameworks becomes extremely challenging because everything depends on each other. Microservices Architecture Microservices ...
Read MoreDifference between Hadoop 1 and Hadoop 2
Hadoop is an open-source framework from the Apache Software Foundation, built on Java, designed for storing and processing Big Data across distributed clusters. Apache released Hadoop 2 as a major upgrade over Hadoop 1, introducing YARN for resource management and support for multiple processing models beyond MapReduce. Hadoop 1 Hadoop 1 uses a tightly coupled architecture where MapReduce handles both data processing and cluster resource management. It uses a single NameNode (single point of failure) and relies on fixed map/reduce task slots for resource allocation. Hadoop 1 only supports MapReduce as its processing model. Hadoop 2 ...
Read More