Glossary – Data, Cloud & Infrastructure
Data and cloud infrastructure form the backbone for scalable AI adoption. This category defines systems and processes that ensure data reliability, real-time access, and operational efficiency across enterprise ecosystems.
Understanding Data, Cloud & Infrastructure
Data and cloud infrastructure form the backbone for scalable AI adoption. This category defines systems and processes that ensure data reliability, real-time access, and operational efficiency across enterprise ecosystems.
Glossary Terms
| Term | Description |
|---|---|
| Data Pipeline | Automated flow for ingesting, cleaning, transforming, and delivering data to applications. |
| CDC (Change Data Capture) | Real-time data synchronization method tracking changes in databases for continuous analytics. |
| Streaming Data | Continuous data feed processed in real time for instant decision-making. |
| Apache Flink | Open-source framework used for large-scale stream processing and CDC in data pipelines. |
| Kafka | Distributed streaming platform managing real-time data flow between systems. |
| Text-to-SQL Interface | AI module that translates natural language questions into SQL queries for instant data retrieval. |
| Natural Query Interface | Search feature allowing data access without technical query knowledge. |
| Secure Data Lake | Central, encrypted repository for structured and unstructured data used in AI analytics. |
| Cloud Transformation | Migration of applications and infrastructure to scalable cloud-native environments. |
| Scalability | System capacity to handle increased workloads or data volume without performance loss. |
| Performance Engineering | Designing and tuning systems for high-speed computation, minimal latency, and reliability. |
Insights into Data, Cloud & Infrastructure
Strong data architecture ensures that AI initiatives are sustainable and trustworthy. By aligning data pipelines, cloud scalability, and security, enterprises build the foundation for automation and advanced analytics to operate at scale.
Related Categories
AI & Automation Core
The AI & Automation Core represents the foundation of Anubavam's enterprise AI stack, where modular intelligence, workflow orchestration, and automation converge. This category defines the essential technologies, models, and frameworks that power end-to-end automation, learning, and data-driven decision-making across industries.
Analytics & Intelligence
Analytics and intelligence convert raw data into actionable insights. This category explains how AI integrates with analytics to provide real-time visibility, KPI tracking, and predictive decision-making for modern enterprises.
Security, Compliance & Governance
This section defines how enterprises ensure AI systems operate safely, ethically, and in compliance with international standards. These terms cover governance, privacy, and accountability measures that protect data and uphold institutional integrity.