# Data Platforms: One set of numbers. Fewer meetings about them.

> InfoMover designs and builds data platforms on AWS with Spark, Kafka and Delta Lake: streaming and batch pipelines, a lakehouse your analysts can trust, and dashboards in tools such as Superset. We have delivered two large big-data applications, and we design data platforms that also feed the AI systems that come next.

## Sound familiar?

- Three dashboards, three different totals.
- Reports run overnight and are out of date by the morning meeting.
- Data lives in operational databases that nobody wants to query at peak hours.
- Your AI plans assume clean data you do not have yet.

## What you get

- **Pipelines that run unattended:** Streaming and batch ingestion with Kafka and Spark, with retries, monitoring and alerts.
- **A lakehouse with rules:** Delta Lake tables with clear ownership, history and quality checks, so a number means one thing.
- **Dashboards people use:** Superset or your BI tool of choice, built on agreed definitions.
- **AI-ready data:** Clean, documented sources that RAG and analytics workloads can build on.

## Ways to engage

A short review or proof of concept first, then the platform in phases.

- [Advisory Sprint](https://infomovertech.com/how-we-engage#advisory-sprint) (1–4 weeks)
- [Proof of Concept](https://infomovertech.com/how-we-engage#proof-of-concept) (2–6 weeks)
- [Project Delivery](https://infomovertech.com/how-we-engage#project-delivery) (Phased)

## Questions & answers

**Do you work on AWS only?**

Most of our data work runs on AWS, but the core tools, Spark, Kafka and Delta Lake, run on any major cloud or on your own servers.

**Can you start from our existing warehouse?**

Yes. We usually start with a short review of what exists, then decide what to keep, what to move and in what order.

**How does this connect to AI?**

RAG and analytics assistants are only as good as their data. A clean, documented platform is the cheapest way to make later AI work reliable.

**Do you provide ongoing support?**

Yes, as part of a Long-term Delivery and Support engagement, or as a handover to your team with documentation and runbooks.

[Discuss your project](https://infomovertech.com/contact)