Atlanta

Content for User Group Meetings and Call for Presenters

Summary: Danny Bryant initiated a discussion to gather feedback for future Snowflake User Group meetings, inviting ideas for topics and volunteer presenters. Andy Brown suggested discussing populating iceberg tables and Snowflake's integration with data lakes. They also offered to present topics such as Data Mesh implementation and relational model optimization. Kamalakannan Boovaragavan showed interest in Snowflake's support for Lakehouse models. Prabhuraj Soliah from Johnson Controls is keen on learning about implementing the Silver Layer in Snowflake's Medallion Architecture and experiences with migrating to AWS. Venkata Mutnuri inquired about experiences on data quality and metrics in Snowflake.
AI Summary

As we plan our upcoming Snowflake User Group meetings, we want to ensure our sessions are as engaging and beneficial as possible. We would love to hear from you, our community members. What topics would you like to see covered in future meetings? Are there specific areas of Snowflake or data challenges that you're currently facing and would like more insight on? Additionally, if you have a success story or knowledge you'd like to share, we're inviting volunteers to present at our future events. Please share your thoughts, ideas, and volunteer interests below!

4 comments

I'm interested in hearing more on populating iceberg tables and how companies are connecting/leveraging snowflake with their data lakes.

I can also present on a few topics if anyone is interested, including our journey implementing Data Mesh at ESO, commercial uses of Snowflake Reader accounts for self-service data access, dynamic tables in ELT, and optimization of relational models in Snowflake.

Exploring how Snowflake supports Lakehouse models - keen to learn from others approaches and experiences.

In Johnson Controls, we are implementing Medallion Architecture from the scratch. I want to hear from experts, the approach to implement Silver Layer in Snowflake. (also best orchestration tool) We are also exploring the option of adopting AWS moving away from Azure for compute and storage. Like to hear from ESO and other clients the pitfalls and pain points of AWS adoption.

Any experiences on Data Quality and data metrics functions in Snowflake?

Pending approval

Hi everyone,

I'd like to hear about best practices for ELT/ETL to Snowflake from on-prem OLTP data sources (Oracle database, SQL Server) including minimizing impact to data sources, securing transport, and transforming extracted data sets as needed in Snowflake.