We help your teams design and deliver high-quality data products directly within your event-driven architecture. By applying a shift-left approach, we ensure data is clean, structured, and usable at the source, ready for operational applications, analytics, and lakehouse ingestion.
Your data isn’t clean or consistent
Events are produced differently across teams, with unclear fields, inconsistent types, or duplicate logic. You need reliable, well-structured data at the source to avoid expensive downstream cleanup.
Your consumers struggle with data quality
Applications need fast, domain-aligned projections, while analytics teams want stable, trustworthy inputs. You need a way to serve both worlds without building complicated pipelines.
Your data lake receives messy data
Data lands in your lakehouse, but it’s not structured in a usable way, leading to manual cleanup and reprocessing. You need data products that deliver clean, ready-to-ingest events.
1
STEP ONE
Define Data Product Boundaries
We collaborate with your domain teams to clarify ownership, event meaning, and the purpose of each data product. This creates alignment and ensures every data product connects to real business capabilities.
2
STEP TWO
Apply Shift-Left Modeling
We help producers deliver clean, validated, and consistent events and domain projections right at the source. This reduces downstream complexity and prevents data quality issues before they start.
3
STEP THREE
Ensure Clean Lakehouse Ingestion
We guide the creation of structured, stable outputs so your data lands in a usable form, whether you use a lakehouse, datalake, or warehouse, integrating smoothly with your storage technologies.
Our goal is to give you everything you need to make real progress. When our work together is done, you don't just get advice - you get clear, practical assets that your team can use immediately. Here’s what you can typically expect:
Data Product Definitions & Ownership Model
Clear descriptions of what each data product represents, who owns it, and how it links to your domains, ensuring alignment across teams.
Domain Event & Projection Designs
Well-structured, validated event schemas and operational projections created within the producing domain, supporting both real-time and analytical needs.
Ingestion-Ready Data Outputs
Guidance to ensure your data products produce clean, stable structures that land correctly in your lakehouse, datalake, or warehouse.
Implementation Coaching & Reviews
Ongoing reviews, sparring sessions, and architectural guidance during implementation to help your teams make the right decisions quickly.
