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Data Warehouse Migration: Your Path to a Cloud Data Infrastructure

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Unlock the Full Potential of Your Data in Google Cloud

Digitalization presents new challenges for businesses, especially in data management. Outdated data warehouse solutions often struggle to keep up – whether in terms of performance, scalability, or costs.

With a data warehouse migration to Google Cloud, we bring your data infrastructure up to date and create the foundation for real-time analytics, AI, and machine learning.

Why Migrate a Data Warehouse?

Many companies struggle with inefficient data structures that make accessing valuable information difficult and hinder performance. Migrating to the cloud addresses key challenges:

  • Unified data basis: Different departments store data in various locations and create isolated data silos. A central cloud data warehouse creates a unified data basis.
  • Higher performance: Older systems often process large amounts of data too slowly. Google Cloud enables fast data processing and real-time analytics.
  • Lower operational costs: On-premises solutions are expensive to maintain and scale. A cloud-based data warehouse reduces total cost of ownership (TCO) and offers flexible scalability.
  • Future-proofing: Easily leverage AI and machine learning by making your data readily available for these technologies.

By migrating to a central, scalable cloud data warehouse, your data from various sources is securely consolidated, optimized, and structured to be readily available for analysis and AI applications. This enables faster, more informed decisions and lays the foundation for sustainable innovation in your company.

Schaubild, das den hybriden Modus während der Data-Warehouse-Migration mit Ubilabs und Google Cloud zeigt
During migration, your legacy system and the new cloud-based data warehouse operate in parallel in a hybrid mode. You decide which use cases are migrated and in what priority order.
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The Benefits of a Data Warehouse Solution in Google Cloud

  • Automatic scalability: Adjust your resources dynamically without the need for additional hardware or large investments.
  • Easy integration: Add new data sources or targets effortlessly.
  • Self-service BI: Enable your teams to access data analytics directly without relying on IT resources.
  • Reduced costs: With the cloud, you only pay for the resources you actually use, avoiding unnecessary costs for underutilized infrastructure.
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Is your infrastructure future-proof?

Not sure if migrating to Google Cloud is the right step for you?

Take the free Data Health Check and get advice from our Cloud experts. Together, we will identify optimization opportunities and the best migration strategy for your business.

Discover our Data Health Check

Why Ubilabs?

  • Extensive Expertise: As an official Google Cloud Premier Partner in the DACH region, we are certified specialists in cloud solutions.
  • Flexible Partner: With agile teams and quick decision-making processes, we support you at every stage of the migration.
  • Best-in-Class Technology: As a Cloud Data Warehouse Leader (The Forrester Wave™ 2023), Google provides a high-performance infrastructure for large datasets and AI-powered applications.

Step by Step to Success with a Data Warehouse Migration

1. Assessment: We analyze your existing system and identify bottlenecks.

2. Architecture Design: Development of a future-proof cloud architecture (e.g., using BigQuery, DataProc, Cloud Composer).

3. Data Migration: Your data is securely transferred to the new environment.

4. Data Modeling: Adjustment and implementation of an optimized data model (e.g., Data Vault).

5. Optimization: Improvement of data quality and performance, with parallel introduction of the new system.

6. Completion and Onboarding: Support in decommissioning the legacy system and handover to your team.

Data Warehouse Migration Guidelines (PDF)