Query Optimisation

Query Optimisation improves how queries are executed so they run faster and consume fewer resources. Despite natural language querying, backend optimisation is essential to improve context and processing for both machine and human users. Optimisation is crucial to ensure data products remain responsive and scalable, especially as adoption grows. The outcome is more reliable user experience with accurate or fresh results.

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Versioned Datasets

Service Level Objective (SLO)

Service Level Agreement (SLA)

Source of Truth

Schema Evolution

Real-Time Data Processing

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Low-Code Data Pipeline

Lineage Visualisation

Latency Optimisation

Last-Mile Data Transformation

Lakehouse Architecture

Incremental Data Processing

Identity Resolution

Hybrid Cloud Strategy

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