Cloud databases bring a new set of performance and cost benefits. In this session, we’ll learn Snowflake architecture and basic concepts, what makes Snowflake ideal for large-scale data warehousing. We’ll begin with the concepts of PaaS and how that applies to databases in particular. We’ll see how Snowflake’s design allows for high performance at low cost. We will also talk about what makes Snowflake unique compared to other cloud databases. Each step of the way we will have demos to show you how to implement Snowflake in Azure cloud. By the end of this session, you’ll be able to compare Snowflake to other tools like SQL Server and have a good idea about concepts and architecture of the Snowflake ecosystem.
Surbhi is a data professional with over two decades of architectural/administration experience in the financial domain. Architecting the operationalization aspect in a client-facing role, delivering relational and advanced analytics solutions for large scale Operational and Data Warehouse implementations with focus on learning and innovation remained a constant part of her data journey. Currently she is leading enterprise scale cloud data migrations in SQL Server/Snowflake/Azure SQL/Managed Instance and involved with designing next generation Data Analytics solutions using Snowflake. Surbhi is board member of the New England SQL Server User Group, member of PASS, speaker in PAAS Summit/Snowflake User Group/Azure Data User Groups/Data Saturdays/SQLBits.
This meeting was not recorded upon request of the presenter.