Data Lake
A is a centralized repository designed to store vast amounts of raw data in its native format, including , , and . Unlike a , which requires a approach, a data lake employs , allowing for high flexibility and the delayed processing of information until it is needed for workloads or analytics. These architectures are typically built on like or cloud-based solutions such as and . While they provide cost-effective scalability for , an unmanaged lake can transform into a if it lacks proper , management, and tracking. Modern implementations often integrate with like or and may evolve into a to combine the reliability of traditional databases with the openness of lake storage.
[PREVIEW MODE] Definitions streamed at five depths, references, and related terms are available to signed-in readers — [SIGN IN]
Contextual terminology map
KEEP IN VIEW
Ethics, safety & society
Moving as fast as the field, and easier to overlook
- Explainable AI
- Interpretability
- Model Card
- AI Audit
- Algorithmic Bias
- Disparate Impact
- Digital Divide
- WCAG (Web Content Accessibility Guidelines)
- AI Alignment
- Red Teaming
- EU AI Act
- NIST AI RMF (AI Risk Management Framework)
- Frontier Model
- Deepfake
- Content Credentials
- AI Watermarking
- Job Displacement
- Prompt Injection
- Data Poisoning
- Differential Privacy
- GDPR (General Data Protection Regulation)
- Zero-Day
- End-to-End Encryption
- Data Broker
Infrastructure, markets & the economy
The compute, power and capital behind the boom