Data Architecture FAQs
Answers about architecture scope, cost, timelines, data mesh, lakehouse design, data contracts, silos and implementation independence.
What are data architecture services?+
Data architecture services establish the target shape of a data estate: where data lives, who owns it, how domains exchange it and which architectural pattern the organization can actually sustain. Innogent Technologies settles ownership before topology, because a pattern chosen against an organization that does not exist reproduces the same problems with better diagrams.
How much do data architecture services cost?+
Cost depends on the requirement: the number of systems and domains in the estate, how much lineage and documentation survives, how many teams would take on data ownership, whether regulatory obligations require demonstrable lineage, and whether the engagement stops at a target state or continues into building it. Innogent Technologies estimates after estate assessment.
How long does a data architecture engagement take?+
Estate assessment runs 4 to 6 weeks and target architecture with a roadmap a further 3 to 5. Ownership and governance design takes 4 to 8 weeks. Where implementation follows, a lakehouse or mesh foundation runs 12 to 24 weeks and master data work 10 to 20 weeks.
Should we adopt a data mesh?+
Only if you have domain teams with genuine engineering capability and a platform team able to serve them. A mesh distributes ownership, and distributing ownership to teams without engineers produces data products nobody maintains. Innogent Technologies assesses that capacity honestly during the engagement, including when the answer is that a centralized platform remains the right structure.
What is the difference between a data lakehouse and a data warehouse?+
A warehouse stores structured, modeled data optimized for analytical queries. A lakehouse uses open table formats over object storage, holding raw through modeled data in one platform, and suits estates with format diversity, high volume or machine learning workloads needing raw access. The lakehouse is more flexible and requires more discipline to keep usable.
What are data contracts and why do they matter?+
A data contract is an agreement between a producing and consuming team covering schema, freshness, semantics and change notice, enforced automatically rather than by convention. They matter because without them a producing team's routine change becomes several consuming teams' incident, and distributed ownership models fail on exactly this.
Can you fix data silos without replacing everything?+
Frequently, yes. Silos are usually an ownership and interface problem rather than a storage problem. Establishing authoritative sources per entity, specifying contracts between domains and adding lineage often resolves more than a consolidation program would, at a fraction of the cost and disruption.
Do we have to use you to build what the architecture specifies?+
No. The assessment produces an estate map, a target architecture, a governance model and a sequenced migration path, and that output is yours whether or not the implementation proceeds with Innogent Technologies.
