An end-to-end analytics and machine-learning stack on Google Cloud

The challenge

Paper.id wanted an end-to-end data analytics solution that included a data warehouse, machine-learning modelling, and an ETL platform.

What we did

• Adopted Google Cloud analytics and AI services to meet the requirements
• Used Cloud Composer to automate ETL
• Used BigQuery as the data warehouse
• Used Vertex AI to train machine-learning models

The results

• A working analytics and machine-learning foundation on Google Cloud, from ETL through to modelling