Technical GlossaryData Engineering and AI Infrastructure

Workload Isolation

A warehouse approach in which resources are separated to prevent different query and compute workloads from interfering with one another.

Workload isolation prevents dashboard queries, ad hoc analysis, and heavy transformation jobs running at the same time from degrading one another inside a warehouse. Resource pools, separated compute layers, or priority policies are often used for this purpose. This approach protects both user experience and platform stability. It is especially important in cloud data warehouses for balancing cost and performance.

Explore these concepts to continue your artificial intelligence journey.

See All

SÖZLÜK

🤖

veri-muhendisligi-ve-ai-altyapisi

ETL

A classic data integration approach in which data is extracted from source systems, transformed, and then loaded into a target analytical environment.

Explore

SÖZLÜK

🤖

veri-muhendisligi-ve-ai-altyapisi

ELT

A modern approach in which data is loaded into the target platform first, and transformations are performed later inside the storage or compute layer.

Explore

SÖZLÜK

🤖

veri-muhendisligi-ve-ai-altyapisi

Reverse ETL

An integration approach that moves curated data from analytics platforms back into operational systems.

Explore

See All

Workload Isolation

You Might Also Like

ETL

ELT

Reverse ETL

Subscribe to Newsletter