Databases: Managing and Organizing Data Efficiently, Slides of Computer science

Download Databases: Managing and Organizing Data Efficiently and more Slides Computer science in PDF only on Docsity! Databases Presented by: Abigail Atiwag Databases are structured collections of data that are organized and stored in a way that enables efficient retrieval, insertion, updating, and deletion of data. Here are key topics related to databases: SQL (Structured Query Language) Standard language for managing relational databases. Used for querying data, creating tables, defining relationships, and performing operations like INSERT, UPDATE, DELETE, and JOIN. Database Design Entity-Relationship (ER) Modeling Design technique to represent entities, attributes, relationships, and constraints in a database schema. Database Management Systems (DBMS) Types of DBMS Relational DBMS (e.g., MySQL, PostgreSQL, Oracle), NoSQL DBMS (e.g., MongoDB, Cassandra, Redis), NewSQL DBMS, and cloud- based DBMS (e.g., Amazon RDS, Google Cloud SQL, Azure SQL Database). Functions of DBMS Data Storage Data Retrieval Data Manipulation Concurrency Control Security Backup and Recovery User Management Data Manipulation Language (DML) SQL commands for inserting, updating, deleting, and querying data in tables (e.g., SELECT, INSERT, UPDATE, DELETE). Data Control Language (DCL) SQL commands for managing user access and permissions (e.g., GRANT, REVOKE). Database Architecture ACID Properties Atomicity, Consistency, Isolation, and Durability ensure transactional reliability and data integrity in database operations. Database Indexing and Optimization Indexes Data structures (e.g., B-trees, hash indexes) that improve query performance by enabling faster data retrieval based on indexed columns. Types of NoSQL Databases Document-oriented (e.g., MongoDB), Key-value stores (e.g., Redis), Column-family stores (e.g., Cassandra), and Graph databases (e.g., Neo4j). Use Cases NoSQL databases are suitable for handling unstructured or semi-structured data, high scalability, distributed systems, real-time applications, and big data analytics. Data Warehousing and Business Intelligence OLAP (Online Analytical Processing) Analytical queries and multidimensional analysis for business intelligence, data mining, and reporting. Database Security and Compliance Access Control: User authentication, authorization, roles, and privileges to restrict unauthorized access to data. Encryption: Data encryption at rest (storage) and in transit (network) to protect sensitive information from unauthorized disclosure. Auditing and Monitoring Logging database activities, monitoring performance, detecting anomalies, and auditing for compliance with regulations (e.g., GDPR, HIPAA, PCI DSS). Distributed Databases and Replication Distributed Database Systems: Database systems spread across multiple nodes or locations, providing scalability, fault tolerance, and distributed processing. Database Replication: Copying and synchronizing data across multiple database instances for redundancy, high availability, disaster recovery, and load balancing. Databases play a crucial role in storing, managing, and accessing data for applications, businesses, organizations, and various domains. Understanding database concepts, design principles, management practices, and technologies is essential for developers, database administrators (DBAs), data engineers, and anyone working with data-driven systems and applications. THANK YOU!