Speed, scalability, performance and innovation.
These are the well-known benefits for companies establishing their data warehouse on the cloud. However, 62% of companies are yet to shift from existing on-prem solutions.
In this guide, Datatonic address common hurdles that companies face when getting their data warehouse migration programs off the ground. We detail:
This guide also features case studies on how we’ve migrated enterprise clients onto BigQuery, Google Cloud’s serverless data warehousing solution.
You can download our guide below. Once your request has been submitted, we’ll email you with a link to our whitepaper. If you have any questions in the meantime, you can reach us at firstname.lastname@example.org.
For more technical information on how to develop a Customer Data Warehouse with Google Cloud and Intel, click here for our 2-Page Brochure.
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.