Data Warehouse Modernization with GCP (BigQuery)

Modernize your data analytics with Google BigQuery. Speed up time to insights, accelerate innovation and promote data sharing and collaboration.

Adastra brings advanced skills, best practices, processes, and frameworks to help you accelerate cloud migration and unlock the full potential of Google Cloud Platform (GCP). Our proven framework can help you seamlessly transition from your data warehouses to BigQuery.

Why Data Warehouse Modernization on GCP?

Scalability, improved security, and reduced total cost of ownership (TCO) are some well-known reasons why companies are moving away from legacy systems and modernizing their infrastructure with Google Cloud. A modern cloud data platform can benefit your business far beyond these factors, cultivating innovation and agility and enabling data monetization and operational excellence.

Access powerful analytics

Accelerate time to insights on a petabyte scale and move beyond descriptive analytics to world-class business analytics level.

Boost innovation

Focus on your core business and innovation instead of mundane maintenance with a fully managed cloud data warehouse.

Secure your data

Rely on impeccable security and safely modernize with BigQuery’s data security, replication, and governance.


Pay only for what you use. Replace expensive traditional data warehouses with BigQuery to enable effortless scaling using only the storage and compute power you need.

What We Do

We accelerate your data warehouse modernization journey by moving your data from your current environment to Google Cloud, whether if it is in another public cloud or on-premise. Migrating with Adastra`s premium GCP service reduces risks for your production workloads and improves agility while saving time and resources. Have a trusted Google Cloud service partner by your side with a proven track record in data warehouse modernization in the cloud.

Environment discovery

Adastra will thoroughly review your data warehouse and provide a high-level landscape for better understanding the impact of Google Cloud migration to your environment. The analysis includes a thorough review of data sources, components, and features.

Roadmap creation

Create a migration plan and put it in a Cloud Migration Roadmap document including all the project details: required efforts, cloud migration strategy, future state architecture, required contributors, areas of complexity and risk, cloud migration timelines, a high-level project plan, anticipated infrastructure outages, and cost estimates.

Automated migration*

Set up the dependencies and prepare the data to be transferred based on the GCP migration roadmap plan. The BigQuery Data Transfer Service automates data movement into BigQuery in a scheduled, managed fashion.

* not applicable for some RDBMS

Recent Recognitions

How We Perform Data Warehouse Modernization on GCP

Streamline your migration path and modernize from any on-premises or cloud data warehouse to BigQuery with our proven Google Cloud migration framework.

Prepare and discover

Discover the key workloads and use cases to achieve your business goals. Identify key business requirements and define measurable migration goals in this first step in your data warehouse migration journey.

Asses and plan

Adastra will conduct an assessment and provide a 360-degree view of potential risks and opportunities before beginning your data warehouse modernization. We analyze current systems to understand priorities and technical debt as well as system logic and complexity. The outcome is a tailored GCP migration roadmap.


This approach allows us to prioritize business impact by enabling priority use cases based on value and urgency. Our Google Cloud consultants collaborate with your engineers and business stakeholders to ensure a smooth and secure GCP migration, taking into account all elements of the transition phase.
Success Story

GCP Migration and Data Lake Implementation

A large Canadian organization wanted to migrate their Hadoop-based on-premise data lake solution to the Cloud. The re-platforming needed to be completed within a strict timeline, as the client’s existing technical solution was scheduled to run out of support soon.

Adastra implemented a data lake solution in Google Cloud by migrating a on-premises Hadoop-based data lake to a fully managed GCP environment.


availability and uptime


managed GCP environment


capacity limitations

Frequently Asked Questions

BigQuery is a fully managed enterprise data warehouse that helps businesses manage and analyze the data with built-in features like machine learning, geospatial analysis, and business intelligence. It is serverless architecture which lets SQL queries answer organization’s biggest questions with zero infrastructure management.

Data warehouse migration from one platform to another platform is not an easy task and can often be a challenging process. It is normally a long and multi-phase journey rather than an all-in-one-go task. Read our GCP migration blog post called “How to Perform a Google Cloud Migration?” to learn more.

Modernize Your Data Warehouse with BigQuery

Meet analytical demands and seamlessly scale for your business need with GCP fully managed DWH solution. Accelerate time to insights.