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What is Data Structure?

Data structure refers to an organized way of storing and managing data efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. It forms the foundation of algorithms and software development, optimizing search, sorting, and data manipulation tasks. Data structures are critical in database design, AI models, and real-time computing systems.

Data Governance
Data governance refers to the policies, processes, and frameworks that ensure data quality, security, and compliance within an organization. It defines roles, responsibilities, and standards for data management, enabling regulatory compliance and risk mitigation in data-driven businesses.
Data
Data is raw information that can be structured, semi-structured, or unstructured. It serves as the foundation for analytics, machine learning, and decision-making. Effective data management includes storage, processing, security, and governance strategies to maximize data's value in various applications.
Relational Database
Relational database refers to a structured data storage system that organizes data into tables with predefined relationships. It uses SQL for querying and is widely used in enterprise applications, transaction processing, and analytics.