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Stories

Impact

Tactable helped a leading Canadian bank to remove a critical barrier to migrating data-quality workloads away from legacy Alteryx processes by transforming complex nested trading data into governed, queryable Dremio datasets. The resulting configuration-driven framework creates a repeatable pattern for onboarding additional trading systems without requiring bespoke development for every source.

Industry

Financial Services | Capital Markets

Key Services

Data EngineeringPlatform ModernizationData QualityEnterprise Architecture

Key Technology

  • Dremio
  • Collibra Data Quality
  • Data Transformation

The Vision

Creating a Reusable Data Transformation Layer for Capital Markets

Complex nested trading datasets prevented downstream quality tooling from consuming data consistently and made onboarding new systems dependent on custom engineering. The client needed a standardized pattern that could scale as additional trading systems were brought onto the platform.

The Solution

Building a Configuration-Driven Data Transformation Framework

Legacy platform migration

Enabled the transition of data-quality workloads from Alteryx toward governed Dremio and Collibra-based processes.

Complex data flattening

Developed patterns for converting nested trading data, including dynamic arrays, fixed arrays and nested JSON, into standardized queryable datasets.

Configuration-driven onboarding

Created a generalized engine controlled by environment-specific configuration, reducing the need to write custom transformation logic for every trading system.

Built-in data validation

Added sanity checks to validate transformed datasets before they are exposed to downstream business users, quality tooling and regulatory processes.

The Tactable approach