Data Analytics Deep Dives - Customizing the demo with Terraform

Channel:
Subscribers:
275,000
Published on ● Video Link: https://www.youtube.com/watch?v=2Qu29_hR2Z0



Duration: 8:01
106 views
2


You can enhance or extend the Data Analytics demo with your own custom Terraform scripts. This will let you build upon the existing infrastructure and data. Airflow will be used to deploy and provides an automatic deprovisioning process to save on costs.

All code is on GitHub: https://goo.gle/dagd




Other Videos By Google Cloud


2023-07-12S2 E7: How BigQuery editions, autoscaling, and compressed storage are bringing big savings
2023-07-12S2 E6: How Google Cloud helps companies reduce spending with new cost optimization capabilities
2023-07-12Benefits Delivery Made Simpler and Faster by DWD
2023-07-12Create And Share Trusted Data With Synthesized And Accelerate Your Cloud Initiatives
2023-07-11Build #eventstreaming apps with open-source and leave the data infrastructure to Aiven.
2023-07-11Data Analytics Deep Dives - BigQuery Editions Pricing
2023-07-10MLB + Google Cloud: It’s a whole new ballgame
2023-07-10Jump: MLB + Google Cloud are giving fans a new way to catch all the action
2023-07-10Trot: MLB + Google Cloud are giving fans a new way to admire the long ball
2023-07-07Data Analytics Deep Dives - June 2023 Demo Update
2023-07-07Data Analytics Deep Dives - Customizing the demo with Terraform
2023-07-06Data Analytics Deep Dives - Dataplex Explore
2023-07-06Data and ML go to couples' therapy
2023-07-05Data Analytics Deep Dives - Analytics Lakehouse Overview
2023-07-03Just Eat/Takeaway.com partners with Google Cloud to create a Data Driven organization
2023-06-30A hard conversation about efficiency
2023-06-30How to simplify procurement with Google Cloud Marketplace
2023-06-28Comment déployer une application dans le Cloud?
2023-06-28An Insight on Delfingen's IT strategy with Google Cloud
2023-06-27The Internet: Past, Present, and Future, Vint Cerf hosted by Ariel Peretz
2023-06-27Ask YOUR analyst how you can get the most out of BigQuery.