D
- Data Analytics
- Data Loss Prevention
- Data Migration
- Data Platform
- Data Privacy
- Data Science
- Data Transformation
- Deep Learning
- Definition of Protocol Analysis | OrangeMantra
- Denial of Service (DoS)
- Dependency Scanning
- DevOps
- DevSecOps Pipeline
- Digital Engineering
- Digital Forensics
- Digital Transformation
- Disaster Recovery
- Distributed Version Control System (DVCS)
- Dynamic Application Security Testing (DAST)
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