Data warehousing, AI and agentic automation
NuqtaSol is a consulting firm of certified data engineers. We have run warehouses for some of the largest telecoms and banks in the world. Today we move them to the cloud, put AI and agents to work on them, and keep them running around the clock.
- 02:14SchedulerJob sales_daily failed at step 7 of 12 with a duplicate key error.
- 02:14AgentReads the job log and compares it with the last three successful runs.
- 02:15AgentFinds the cause: the upstream system delivered the same source file twice.
- 02:16AgentProposes a fix: remove the duplicate batch from staging and rerun from step 7.
- 02:17EngineerOn-call engineer reviews the evidence and approves from her phone.
- 02:22AgentRerun complete. 4,218,903 rows loaded, matching the source count.
- 02:23AgentWrites the incident note, closes the ticket and flags the upstream team.
- 06:00SchedulerMorning reports delivered on time.
Illustrative example of the kind of agent we build. Nothing changes in production without a person approving it.
Our consultants have delivered for T‑Mobile, Vodafone, Proximus and Barclays.
Four practices, one team
Data warehousing
We design, build, migrate and tune enterprise warehouses, from Teradata and Oracle to Snowflake, Databricks and Microsoft Fabric.
Call us when:Your Teradata or Oracle renewal is coming up and the cloud numbers look better.
AI
We put models and assistants to work on data you already trust, and get them past the pilot into production.
Call us when:Leadership wants an AI plan and your data is not ready for one.
Agentic automation
We build agents that carry out multi-step work inside limits you set, and hand everything else to a person.
Call us when:Your on-call team is woken by the same five failures every month.
Managed operations
A seasoned team runs your data platform 24 hours a day, every day of the year, with agents doing the routine work.
Call us when:You cannot hire or keep enough DBAs to cover nights and weekends.
What our agents are allowed to do
An agent that can act is only useful when it is safe. Each one we build works inside four rules, and you set the limits.
- Reads
- Job logs, run history, query plans, tickets and documentation. Read access only, scoped to what the task needs.
- Proposes
- A specific fix with the evidence behind it, written so an engineer can judge it in a minute.
- Waits
- Anything that changes data or costs money stops for a person. You decide where that line sits.
- Records
- Every step, input and decision is logged and replayable, for your auditors and for our tuning.
We know what is inside the system you are leaving
Many firms learned the cloud first and treat a legacy warehouse as a box to be emptied. Our consultants administered, tuned and operated those platforms for years. That is why our migrations reconcile, perform and finish.
How we migrate a warehouseMoving from
- Teradata
- Oracle
- SQL Server
- Netezza
- On-prem Hadoop
Moving to
- Snowflake
- Databricks
- Microsoft Fabric
- AWS
- Azure
- Google Cloud
How an engagement runs
- 1
Assess
A short, fixed-scope review of your platform, workloads and goals. You keep the findings and the plan whether or not you continue with us.
- 2
Modernize
We move and rebuild in phases and reconcile the data at each one, so value arrives early and risk stays small.
- 3
Automate
We take manual work out of operations and business processes, and introduce agents where they measurably help.
- 4
Operate
We run the platform for you around the clock, or hand over to your team with documentation and training.
Tell us what your warehouse is doing at 2am.
Describe your platform and what is bothering you about it. A senior consultant will reply with a straight answer and a sensible next step.