qlik-performance

What problem does it solve?

Qlik performance often bottlenecks on memory, reload duration, and evaluation overhead. This skill helps teams diagnose and address these bottlenecks by guiding encoding strategies, load patterns, and expression optimization across the data model.

Core Features & Use Cases

• Key encoding strategies and memory choreography to reduce Base RAM and Peak RAM during reloads.
• QVD-optimized load patterns and selective field loading to shorten reload times.
• Expression performance improvements using set analysis, master items, and pre-calculation to speed interactive dashboards.
• Use Case: When a Qlik app grows large, perform a structured optimization pass following optimization-patterns.md to achieve measurable gains.

Quick Start

Run a baseline performance audit on a Qlik project to establish current Base RAM, Peak RAM, and Reload Time, then apply one targeted optimization pattern at a time.