Google’s BigQuery is a fully serverless offering in the cloud and is optimized for blazing fast petabyte-scale data processing using ANSI SQL alongside running machine learning and analytics processes at scale in a cost-effective manner. This white paper addresses the critical design aspects that would make your organization’s BigQuery implementation successful.
What will you learn from this white paper?
BigQuery offers excellent advantages for modern data engineering needs. The approaches, principles, and critical factors discussed in this white paper will largely remain relevant to determine the performance and agility of your enterprise data and analytics, even if more features are added to BigQuery in the future.