Data Warehouse Migrations

Trust our proven migration methodology and expertise to get you where you want to be—faster.

Migrating your data warehouse can be daunting if you don’t have the experience of doing it time and time again. Pythian experts have the experience to help you achieve a successful migration—whether it’s from Teradata, Netezza or other popular on-premises data warehouses to more flexible, scalable cloud options such as AWS Redshift, Microsoft SQL Data Warehouse, Google BigQuery or Snowflake.

Whether you’re looking to move your data workloads completely to the cloud, or are considering a hybrid environment with a combination of on-premises and cloud or multiple clouds, we can help you plan, implement, manage and grow your end-to-end migration project.

  • plan

    Plan

    A pragmatic step-by-step plan that gets you enjoying the benefits of cloud-native data warehouse sooner with a plan to expand, without risk. Here’s an example of everything we take into account for a migration to a cloud data warehouse on GCP.

  • Deploy

    We migrate your existing data warehouse from your on-premise data center or from one cloud provider to another. As an example of our migration approach, read about our Teradata to Google Cloud Platform migration service.

  • manage

    Manage and Grow

    We don’t set you up and walk away. We’ll manage your data warehouse for you and ensure it continues to operate reliably. Grow from a data warehouse into a true cloud-native data platform with full multi-source data ingestion and integration, right through to supporting full analytics. See our Enterprise Data Platform service offering

How it works

Pythian migration experts use our Enterprise Data Platform (EDP) service as a framework for the assessment and migration planning. This a flexible templated approach for creating modern data platforms to suit the varied needs of a customer’s data management and advanced analytics needs. It is a combination of best practices, documentation, operation procedures, tools, automation and highly skilled resources.

Because any enterprise-scale data platform is a complex solution, we break up the EDP into logical components that represent various functional activities and responsibilities. Using these logical components we will define the reference architecture, the functional roles, the work to be completed, and the supporting technologies within the EDP.  And our remote delivery approach means you always have expert resources available to resolve issues and answer questions while you save on the travel costs normally associated with engaging professional services.

Thinking about taking your data warehouse to Google Cloud? Read about our Data Warehouse Roadmap Assessment.

  • Moving your data warehouse to the cloud or already there?

    We've partnered with each of the leading cloud vendors so we can provide you with certified cloud and data expertise to get your analytic workloads to the cloud for better scalability, efficiency and cost control. See all of our data warehouse service offerings for each of the leading public cloud vendors:

Pythian helps Skillz make their eSports gaming system more responsive and cost effective with Google BigQuery

Skillz turned to Pythian to migrate their data warehouse so they could take advantage of near real-time analytics afforded by the BigQuery and Google Cloud Platform. With Pythian’s expertise, they migrated quickly and saw benefits within just weeks, including having queries generated from the Skillz gaming application processed in minutes instead of hours. With these faster queries, Skillz can not only customize the player experience but can perform fraud and cheater detection and act on this information immediately.

Your Pythian League

Your very own Pythian League is comprised of dedicated Pythian experts who will help lead your project, including:

  • A project manager: From the outset, your assigned project manager continually ensures your needs are met throughout the entire engagement: setting the schedule, working with the team to define deliverables, and regularly capturing and communicating statuses and actions.
  • A senior data architect: The data architect ensures all requirements are fully understood and scoped, and that both data sources and data access are clearly defined.
  • A team lead: The team lead handpicks your team and manages the work to make sure everything is done well and fully tested.

Speak to one of our certified enterprise data experts