./data-processing

Data processing and analytics.

Pipelines, warehouses and clusters that unify your data for reports, forecasts and AI.

The service

Data usually lives in many places: ERP, CRM, spreadsheets, machines and partners. We build and operate the infrastructure that collects it, cleans it and puts it in one place.

Analysts and data scientists use live, reliable data, not exports.

Components

From raw data to decisions.

01

Ingestion

Connectors and APIs for business apps, databases, files and devices.

02

Processing

Scheduled batch and streaming pipelines: clean, join, transform.

03

Storage

Data warehouses and lakes sized for volume and retention.

04

Analytics and AI

BI dashboards, forecasting models and ML-ready datasets.

Platform

Open technologies, fully managed.

Open-source and commercial tools. Data and pipelines stay portable.

  • DatabasesPostgreSQL, MySQL, ClickHouse and other engines as required.
  • ProcessingApache Spark, Airflow, dbt and Kafka for batch and streaming.
  • BIIntegration with Power BI, Looker Studio, Metabase and similar tools.
  • GovernanceAccess control, lineage and retention policies.

Applications

  • Integration

    Connectors to ERP, CRM, databases and partner systems.

    01
  • Sensor and machine data

    Time-series data from equipment and IoT devices.

    02
  • Production data

    Quality and output metrics from plant systems.

    03

Applications

  • Complex business systems
  • Applications that require more resource isolation
  • Infrastructure for SaaS platforms
  • High-performance corporate hosting
  • Databases and applications with specific requirements
  • Operations that require a customized environment

DedicatedRoot accessNVMeManaged security

Next step

Bring your data together.

Tell us the sources, volumes and reports you need. We propose the architecture and the operation.