Atlanta

Content for User Group Meetings and Call for Presenters

Summary: Danny Bryant seeks input from the Snowflake User Group community on topics and presentations for future meetings. Andy Brown is interested in discussions on populating iceberg tables and Snowflake integration with data lakes, and offers to present on several topics, including Data Mesh and optimization in Snowflake. Kamalakannan Boovaragavan wants to learn about Snowflake's support for Lakehouse models, while Prabhuraj Soliah seeks insights on implementing the Medallion Architecture and switching from Azure to AWS. Venkata Mutnuri inquires about experiences with data quality and metrics within 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!

5 comments

Andy Brown

7 months, 1 week ago

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.

Kamalakannan Boovaragavan

7 months ago

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

Prabhuraj Soliah

7 months ago

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.

Venkata Mutnuri

2 months, 3 weeks ago

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

Pending approval

Aldo Gonzalez

2 months ago

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.

Sarah Shackley

3 weeks, 1 day ago

Hi Danny,

We would love to present on the following topic if people are interested:

From Raw to Ready: Building High-Trust Pipelines on Snowflake with Orbit

Snowflake makes storage and compute simple; the challenge is building reliable, cost-aware, and observable pipelines on top. In this session, we’ll show how Orbit Analytics Data Pipelines orchestrate ingestion, transformations, and data products natively on Snowflake—using Streams & Tasks, Snowpipe, and Snowpark—while giving teams lineage, quality gates, and cost controls out-of-the-box. We’ll walk through a live demo that ingests event data, runs incremental ELT, enforces tests, and serves a governed, query-ready model—then we’ll open the hood to see how it’s wired and how to run it at scale.

We can present this presentation in person as we are headquartered in Atlanta . You an email me at sarah.shackley@orbitanalytics.com if you have more questions. Thanks, Sarah