A complex network of data sources, storage solutions, and processing frameworks that work together to manage and utilize data effectively.

A centralized repository that stores vast amounts of raw data in its native format until needed for analysis.

A structured storage system optimized for querying and analysis, designed to consolidate data from multiple sources.

Extract, Transform, Load; a process to move data from source systems to a data warehouse, transforming it as necessary.

An open-source unified analytics engine for large-scale data processing, known for its speed and ease of use.

A framework for managing data availability, usability, integrity, and security across an organization.

Ensuring that data practices adhere to laws and regulations, such as GDPR and CCPA, to protect user privacy.

General Data Protection Regulation; a comprehensive data protection law in the EU that governs data privacy.

California Consumer Privacy Act; a state statute aimed at enhancing privacy rights and consumer protection for residents of California.

The process of combining data from different sources into a unified view, essential for comprehensive analysis.

A series of data processing steps that involve moving data from one system to another, often including ETL processes.

The process of converting data into a desired format or structure for analysis or storage.

Data that adheres to a predefined schema, easily searchable in databases, like SQL.

Data that does not conform to a rigid structure but contains tags or markers to separate elements, like JSON or XML.

Raw data that lacks a predefined format or structure, such as text, images, or videos.

The condition of a dataset regarding accuracy, completeness, reliability, and relevance.

The design and structure of data systems and processes, defining how data is collected, stored, and accessed.

Extremely large datasets that require advanced tools and techniques for processing and analysis.

The systematic computational analysis of data to discover patterns, correlations, and trends.

Measures taken to protect digital data from unauthorized access, corruption, or theft.

The process of creating a conceptual representation of data structures and relationships within a database.

The graphical representation of information and data to communicate insights clearly and effectively.

A model of computer data storage in which the digital data is stored in logical pools, often hosted by third parties.

A subset of AI that enables systems to learn from data patterns and improve over time without explicit programming.

The management and oversight of an organization's data assets to ensure data quality and compliance.

A comprehensive inventory of data assets within an organization, providing metadata and data lineage.