Big Data Processing and Storage

Structure: - Data is stored row by row (horizontally) - All columns of a single row are stored contiguously in memory - Each complete record is stored together Example: Characteristics: - Entire row retrieved in one disk access - Efficient for OLTP (Online ...

A graph database is a specialized database management system designed to store, manage, and query data organized as graphs. It represents data as a collection of: - Nodes (Vertices): Entities or objects in the system - Edges (Relationships): Connections or ...

A Graph Database is a specialized database management system designed to store, manage, and query data organized as a graph structure. It represents data as a collection of: - Nodes (Vertices): Entities or objects in the system - Edges (Relationships): Conn...

Graph processing refers to the computational techniques and frameworks used to analyze, query, and manipulate graph-structured data. It involves: - Operations on graphs: traversal, pathfinding, pattern matching, aggregation, and transformation - Distributed...

A data lake is a centralized repository that stores vast amounts of raw, structured, and unstructured data in its native format. Here are the key advantages: - Data lakes can store data in any format (structured, semi-structured, unstructured) without requi...

Since reference notes are not provided, this answer draws on standard cloud computing and big data concepts relevant to BSc CSIT curriculum. - Streaming data arrives continuously and must be processed with minimal delay - Network latency between data source...