DWH / Lakehouse migration
Medallion architecture with Bronze, Silver and Gold layers, on ClickHouse, Greenplum, Iceberg and Trino.
5-yr ROI 112% · payback 1.6 years
Solutions / Corporate DWH
One source of truth. 10× faster answers
Modern warehouses and lakehouses that cut reporting time and cost. One governed foundation for every team's data
ClickHouseTrinodbtAirflowAWS GlueOpenMetadata
−75%report prep time
10×faster queries
−40%manual cost
9:41
Data platformwarehouse health
governed
Analytics platform · in production
98%
Pipelines healthy
lineage · OpenMetadata
freshness 4m · 0 incidents
Certified marts
revenue · QTD$48.2Mfresh 4m
gross_margin · QTD31.4%certified
single source of truth
in production
Inside the warehouse
From scattered sources to one source of truth
How it works: raw signals from every system are cleaned, conformed and delivered into one certified, governed structure your BI tools can trust
Query: revenue by region (QTD)
4.2s→0.4s
−75%report prep time
10×faster queries
−40%manual cost
What we build
Platforms built for production scale
From a first migration to running hundreds of pipelines, one senior partner across the whole data platform
SAP-to-cloud ELT
SAP domains re-platformed to AWS Glue and Lambda, using non-invasive change data capture (CDC) reads. First result in weeks.
years → weeks for first result
Managed operations & SRE
Hundreds of production pipelines kept healthy: Airflow orchestration with monitoring and on-call.
40–60% automation potential
BI & governance
Power BI, Tableau and Grafana on top; OpenMetadata lineage and end-to-end observability.
every metric owned & traceable
The challenge
Legacy data, slow answers
Legacy stack
Data fragmented across legacy systems and SAP domains.
Aging warehouses make queries painfully slow.
Manual data prep inflates cost and delays decisions.
No single source of truth: teams reconcile by hand.
With Zentavor
One medallion platform with Bronze, Silver and Gold layers. One source, every system.
Lakehouse: Trino over dbt-modelled marts in ClickHouse. 10× faster queries.
Automated ELT + managed ops (Airflow, dbt, Glue): −40% manual cost, −75% report prep.
Certified Gold marts with OpenMetadata lineage form one certified source of truth.
FAQ
Your frequently asked questions
Lakehouse or classic warehouse: which do we need?
Both fit a medallion architecture. We scope to your workloads and data. Analytical, append-heavy data tends toward a ClickHouse / Trino lakehouse; structured, transactional domains map cleanly to Greenplum. Often it's a mix, and we design the split with you.
Will this disrupt our SAP and source systems?
No. ELT and change-data-capture read from your sources non-invasively: the operational systems stay exactly as they are. We re-platform the analytics and reporting layer on top, without touching the systems of record.
How long until we see first results?
Faster than a legacy migration suggests. On SAP-to-cloud work we typically deliver a first result in weeks rather than years. We start with the priority domains and the dashboards that matter most, then expand the platform iteratively.
Does our data leave our environment?
No. The platform runs inside your perimeter, on-prem or private cloud, so source data, marts and metrics never leave your environment.
How much faster and cheaper, really?
On a recent retail DWH modernization: about 10× faster queries, −75% report prep time and −40% manual cost. On an IDC-style model, a modern warehouse returns a 5-year ROI around 112% with payback near 1.6 years.
How do you keep hundreds of pipelines healthy?
Managed operations and SRE: Airflow orchestrates the runs, OpenMetadata tracks lineage from source to metric, and Grafana watches the platform end to end. We typically identify 40–60% of operational work that can be automated away.
Let's talk
Build one source of truth
Tell us your data landscape: we'll scope a warehouse or lakehouse and a migration plan