Ingestion
Batch and streaming pipelines from source systems, each with a freshness target and an owner.
Service offering
Lakehouse and warehouse
A data platform where analytical data arrives on time, is cleaned once and is trusted by everyone who uses it.
We design and build the platform where analytical data lands, is cleaned and is served: ingestion pipelines with agreed service levels, layered storage from raw to curated, and warehouse models business users can query. Access, lineage and cost controls are configured as part of the build.
Personal data on the platform falls under the UAE PDPL and the Saudi PDPL, so we classify it at ingestion, keep it in approved regions and limit access to it in the curated layers.
What the engagement covers
Layered storage
Raw, cleaned and curated layers with clear rules for what moves between them.
Serving models
Models that BI tools and data scientists can query with consistent definitions.
Data protection by design
Personal and sensitive data classified and access-controlled from the first pipeline.
Ownership and quality
Named data owners and quality checks, so issues are fixed at source rather than in reports.
When the data platform needs rebuilding
The case is clear when reports disagree, loads fail overnight and nobody can say how fresh a figure is.
- Different reports give different answers to the same question.
- Data loads fail and are fixed by hand.
- Analysts copy data into their own spreadsheets to work with it.
Talk to us about lakehouse and warehouse
Share your constraints, compliance themes and timeline. We will return a phased approach, a staffing model and a risk register for your stakeholders to review.