Case 01 / Tier-1 trading desk, LATAM
Tick-level market data lakehouse with governed consumption
Data PlatformDataspaceSecretOps
- Challenge
- Quant teams pulled tick data from six disconnected vendors into local notebooks. No lineage, no reproducibility, and every backtest silently used a different snapshot.
- Approach
- Modeled tick history as multi-dimensional symbol × datetime arrays in Cyberia Dataspace, published curated data products, and exposed them to Power BI, Excel and Python through the consumption layer with full lineage.
94%
faster backtest data prep
100%
reproducible query lineage
6 → 1
vendor feeds unified
Tick data modeled as symbol × datetime arrays instead of loose CSV dumps.

Every backtest traces back to the exact dataset version it consumed.



