AI 용어집
인공지능 완전 사전
Data Lakes
Centralized storage systems for large-scale raw, structured, and unstructured data.
Data Warehouses
Data warehouses optimized for analysis and reporting with structured and historical data.
Distributed File Systems
Distributed storage architectures across multiple nodes for managing petabytes of data.
NoSQL Databases
Non-relational database systems designed for horizontal scalability and schema flexibility.
Stream Processing
Technologies for real-time processing of continuous data with low latency.
Batch Processing
Frameworks for executing tasks on large volumes of data in a periodic and scheduled manner.
Data Lakehouses
Hybrid architecture combining the flexibility of data lakes with the management of data warehouses.
In-Memory Computing
Data processing technologies directly in RAM for ultra-fast performance.
Graph Databases
Specialized systems for storing and analyzing complex relational data.
Temporal Databases
Optimized solutions for storing and analyzing timestamped and metric data.
Columnar Storage
Vertical data storage techniques to optimize analytical queries.
Data Virtualization
Technologies enabling unified access to distributed data without physical consolidation.
Data Mesh
Decentralized data management architecture treating data as a product with domain ownership.
Distributed Query Engines
Systems enabling the execution of SQL queries on large-scale distributed data.
ETL/ELT Pipelines
Data flow orchestration for extraction, transformation, and loading between systems.
Cloud Object Storage
Scalable and durable storage services for unstructured data objects in the cloud.
Data Replication and Distribution
Synchronization and distribution mechanisms for high availability and fault tolerance.