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.

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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-as-you-go

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.

Execute

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.

High

availability and uptime

Fully

managed GCP environment

0

capacity limitations

GCP Success Stories

Modernize Your Data Warehouse with BigQuery

We will review your current warehouse and plan a BigQuery migration that speeds up analytics and makes data sharing easier.

Data Warehouse Modernization with BigQuery FAQ

What is BigQuery?

BigQuery is Google Cloud’s fully managed, serverless enterprise data warehouse. It lets you analyze data at petabyte scale with SQL and includes built-in machine learning, geospatial analysis and business intelligence features. Because there is no infrastructure to manage, your team can focus on answering business questions instead of maintaining servers, storage and software.

Companies move to BigQuery for scalability, stronger security and lower total cost of ownership. A modern cloud data warehouse also speeds up time to insights, moves you beyond descriptive analytics and frees teams from routine maintenance. With pay-as-you-go pricing, you use only the storage and compute power you need instead of paying for an oversized legacy system.

Data warehouse migration is a multi-phase journey rather than a one-time task. Adastra follows three phases: prepare and discover, where we define business requirements and measurable goals; assess and plan, which gives a 360-degree view of risks and opportunities; and execute, where priority use cases move first based on business value and urgency.

The Cloud Migration Roadmap documents everything you need to plan: required efforts, migration strategy, future state architecture, required contributors, areas of complexity and risk, timelines, a high-level project plan, anticipated infrastructure outages and cost estimates. It is based on a thorough review of your data sources, components and features during environment discovery.

In most cases, yes. After dependencies are set up and data is prepared according to the roadmap, the BigQuery Data Transfer Service automates data movement into BigQuery in a scheduled, managed way. Automated transfer is not applicable for some relational database systems, so Adastra confirms the right method for each source during the assessment.

Yes. Adastra’s Google Cloud migration framework supports modernization from any on-premises or cloud data warehouse to BigQuery, whether your data sits in another public cloud or in your own data center. We analyze current systems, technical debt, logic and complexity, then work with your engineers and business stakeholders to keep the transition smooth and secure.

Adastra replaced Giant Tiger’s Teradata enterprise data warehouse with BigQuery and achieved 60% faster data processing. For a large Canadian organization, we migrated an on-premises Hadoop data lake to a fully managed Google Cloud environment within a strict timeline, delivering high availability and uptime with zero capacity limitations for future growth.