S
- Sandbox Environments
- Secure Coding Practices
- Security Automation
- Security Awareness Training
- Security Champions
- Security Information and Event Management (SIEM)
- Security Orchestration
- Security Posture
- Shift-Left Security
- Smart City
- Smart Home
- Smart Manufacturing
- Smart Meters
- Smart Products
- Smart Spaces
- Software as a Service (SaaS)
- Software Composition Analysis (SCA)
- Software Defined Networking (SDN)
- Software Development Life Cycle (SDLC)
- Static Application Security Testing (SAST)
- Structured Data
Data Platform
Simple Definition for Beginners:
A data platform is a comprehensive system or infrastructure that enables organizations to store, manage, process, and analyze large volumes of data efficiently.
Common Use Example:
A company uses a data platform that integrates databases, data lakes, and analytics tools to centralize data management and gain actionable insights from customer interactions.
Technical Definition for Professionals:
A data platform is an integrated set of technologies and tools designed to handle various aspects of data management, storage, processing, and analysis. It provides a centralized and scalable environment for collecting, storing, and accessing data from diverse sources, including structured, semi-structured, and unstructured data. Key components of a data platform may include databases (relational, NoSQL), data warehouses, data lakes, data integration tools, analytics and business intelligence (BI) platforms, machine learning frameworks, and data governance solutions. Data platforms support tasks such as data ingestion, data preparation, data modeling, data transformation, data visualization, and data security. They are essential for organizations seeking to harness the value of their data assets to drive informed decision-making and business outcomes.
Data Platform