How to migrate from Teradata to Google BigQuery
Google BigQuery is a serverless, highly scalable, low-cost enterprise data warehouse that helps data analysts become more productive. It enables extremely fast analytics on a petabyte scale. And its pay-as-you-go model makes it attractive for organizations looking to move away from a CAPEX-based model for data warehousing. In response to the growing interest in BigQuery, Pythian’s Google Cloud Platform Qualified Solutions Developers and Cloud Data Engineers have put together a white paper that guides you through the process of evaluating whether BigQuery is a good fit for your use case, then takes you, step-by-step, through a migration from Teradata to BigQuery. The authors of this white paper are some of Pythian’s Google Cloud Platform qualified experts who help enterprises around the world get the most from their Google Cloud Platform implementations, including BigQuery. For example, they recently implemented BigQuery as part of a solution that transformed the way the England and Wales Cricket Board (ECB) understands and reaches their thousands of participants and fans. With BigQuery, their ability to perform analytics has resulted in increased ticket sales, improved venues for matches, improved player selection, youth team engagement and more. Read the full story. In Pythian’s latest white paper, A Framework for Migrating Your Data Warehouse to Google BigQuery, Pythian experts provide all of the information you need to migrate from Teradata to BigQuery with confidence. It guides you through all aspects of the migration, from initial considerations to step-by-step instructions with examples that cover the pre-migration, migration and post-migration process. Get the white paper now Download the Framework for Migrating Your Data Warehouse to Google BigQuery white paper to learn about:
- When it makes sense to migrate to BigQuery, and when it doesn’t
- The key areas to consider when planning for and implementing a migration of this nature
- Pre-migration considerations like how to approach cost control tools, data transformations and continuous data ingestion
- Step-by-step instructions on how to set up a data migration pipeline from Teradata to BigQuery
- Post-migration procedures like how to monitor your BigQuery database using Stackdriver, analyzing logs and validating data quality
Share this
You May Also Like
These Related Stories
Gaming company benefits from increased responsiveness with help from Pythian’s Google BigQuery experts
Gaming company benefits from increased responsiveness with help from Pythian’s Google BigQuery experts
May 28, 2019
1
min read
Five things to know before migrating your data warehouse to Google BigQuery
Five things to know before migrating your data warehouse to Google BigQuery
Nov 23, 2016
2
min read
What Google’s New BigQuery Pricing Tiers Mean For You
What Google’s New BigQuery Pricing Tiers Mean For You
May 9, 2023
3
min read
No Comments Yet
Let us know what you think