Data & Analytics

Modern data platforms

Implementation and migration on leading cloud data platforms, optimized for performance, security and cost.

Überblick

Cloud data platforms offer elastic scale, lower maintenance and a strong foundation for AI, but only if they are implemented with care. We implement new platforms and migrate legacy warehouses and data lakes so that what you end up with is simpler, faster and cheaper to run than what you started with.

Implementation covers the foundations that are expensive to retrofit: environment and workspace design, identity and access, network security, naming and modeling standards, cost tagging and workload isolation. For migrations, we inventory existing objects and reports, retire what is no longer used and move the rest in value-driven waves, with automated reconciliation between old and new.

We tune for performance and cost from day one, setting budgets, monitoring consumption and right-sizing compute as adoption grows. The platform is also designed to serve AI workloads, including feature engineering, vector search and governed access to unstructured data, so it supports what comes next as well as today's reporting.

Was Sie erhalten

  1. 01Platform foundation with security, access and environment design
  2. 02Migration inventory and wave plan
  3. 03Migrated data, pipelines and reports with reconciliation evidence
  4. 04Cost management controls, budgets and dashboards
  5. 05Platform runbooks and administrator training

Technologien, mit denen wir arbeiten

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Google BigQuery
  • Amazon Redshift
  • Terraform
  • Unity Catalog

Wir sind technologieunabhängig: Werkzeuge wählen wir passend zu Ihren Anforderungen und bestehenden Investitionen aus.

Fragen, die wir häufig hören

How do you minimize disruption during a migration?

We migrate in waves, run old and new platforms in parallel for a limited period and use automated reconciliation to prove the outputs match. Clear exit criteria keep parallel running short.

Will a cloud platform cost more than our current warehouse?

It can if consumption is not managed. We build tagging, budgets, workload isolation and performance tuning in from the start, and retire unused assets before migration so you are not paying to move them.

Insights

Weitere Perspektiven

Alle Insights
Point of view

From dashboards to decisions: making analytics adoption stick

October 8, 2026 · 4 Min. Lesezeit

Point of view

Data foundations first: why AI programs stall without them

October 2, 2026 · 2 Min. Lesezeit

Playbook

Modernizing legacy data platforms to the cloud: a playbook

August 21, 2026 · 2 Min. Lesezeit

Gestalten wir gemeinsam, was als Nächstes kommt.

Erzählen Sie uns von Ihren Zielen. Wir bringen Sie mit den richtigen Experten zusammen, in der Regel innerhalb eines Werktags.