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Featured services for Google Data Warehouse Solutions
Getting started with Google BigQuery
We recommend starting with our Future-State Architectural Design Engagement offer. Our solution architects can help evaluate your current data warehouse and analytics solutions. From there, we will work with your team to craft a future-state roadmap for deploying a Google BigQuery solution which includes:
- Ingesting on-premise and cloud data
- Optimizing the initial loading of data and developing a partition strategy for your tables
- Configuring external data sources like Cloud BigTable, Cloud Storage, Google Drive or ingesting data from Google Ads
- Creating a testing strategy for your existing applications
- Converting existing data warehouse features that are not supported using Google services like Cloud Functions
- Setting up Google IAM security policies to match your current data warehouse solution
We’ll use our 12-step database migration process to make sure all aspects of the development process are addressed so that you have a solid foundation for deploying Google BigQuery.
In order to understand the performance requirements for moving data warehouse solutions to Big Query, you’ll want to consider our Data Management Optimization offer to benchmark your current solution to understand the different migration paths that are available to you.
Related Google BigQuery Technologies
To get the most out of your data analytics solutions using Google BigQuery, our experts can help integrate other technologies like the ones listed below.
Note: Power BI support using the Google BigQuery connection is in preview mode. You will need to opt-in for Power BI preview features to access the connector.
Coming soon! We are planning to release BigQuery support for Database Compare Suite. This will be a great addition to the tool for supporting data warehouse migrations from Oracle, SQL Server, Netezza, Teradata, Vertica, Greenplum, and Redshift to BigQuery.