On March 11, C2C sponsored and co-hosted an event with Cloud Study Network and Serverless Toronto featuring this presentation by Dan Sullivan.
This presentation explores the advantages of highly denormalized data models and how you can take advantage of columnar storage, compression, composite data types, repeated fields, partitioning, clustering, and other features of BigQuery to design scalable data warehouses.
Dan Sullivan—Principal Engineer, PEAK6 Technologies
Software Architect with extensive experience in data architecture, data science, machine learning, stream processing, and cloud architecture. He is the author of the official Google Cloud study guides for the Professional Architect, Professional Data Engineer, and Associate Cloud Engineer. View his publications here.