Data engineers value documentation, governance and best practices but often struggle to convey their financial impact. Lacking fluency in business language and metrics, they find it challenging to demonstrate the ROI of data modeling and governance. This talk uses real-world examples to highlight how these practices improve data quality and team efficiency while linking them to business metrics that resonate with stakeholders and the finance committee.
Partners
SqlDBM
Blue Square
Overview
1220
Sponsored Sessions
Introductory
Theater Session
Business Executive
IT / DBA
BI / Analyst
Data Engineer
Governance, Security and Discovery
3:00pm - 4:00pm
Media, Entertainment & Advertising
Financial Services
Healthcare and Life Sciences
Manufacturing
Retail & Consumer Goods
Telecom
Travel & Hospitality
Not industry-specific
2789
Performance & Optimization
Cost Governance
IT Operations
Compliance
Upskilling, learning and certification
BI and Analytics
Community
Data Warehouse
Other
Mon, Jun 2
All Days
Theaters are first come, first seated
IT
Operations
Advertising, Media, and Entertainment (Industry-A)
Financial Services (Industry-A)
Healthcare and Life Sciences (Industry-A)
Manufacturing (Industry-A)
Retail and CPG (Industry-A)
Telecommunications (Industry-A)
Travel & Hospitality (Industry-A)
Other (Industry-A)
BI & Analytics (Topic)
Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
DevOps & Observability (Topic)
Governance, Privacy & Security (Topic)
Open Source & Research (Topic)
BI / Analyst (Role)
Business Executive (Role)
Data Engineer (Role)
IT / DBA (Role)
General Theaters
Monday, Jun 02
3:00 p.m. Monday, Jun 02
Intermediate
Breakout Session
BI / Analyst
Data Scientist
Product Manager
Data Engineer
4:00pm - 5:00pm
Not industry-specific
2937
BI and Analytics
Data Mesh / Data Fabric
Governance
Data Warehouse
Other
Mon, Jun 2
All Days
Not department-specific
Other (Industry-A)
BI & Analytics (Topic)
Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
Governance, Privacy & Security (Topic)
BI / Analyst (Role)
Data Engineer (Role)
Data Scientist (Role)
Product Manager (Role)
OnDemand
Monday, Jun 02
4:00 p.m. Monday, Jun 02
In this session, a representative from Fortune Brands Innovations Inc. will share their experience accelerating their Snowflake implementation. They will discuss challenges; strategies to improve modeling, version control and governance; and how they streamlined workflows for faster deployment. Joining them, SqlDBM's head of product will provide insights into best practices for modeling and governance. Attendees will gain insights into strategies and lessons from their implementation.
Speakers
Serge Gershkovich
Head of Product
SqlDBM
Serge Gershkovich has nearly two decades of experience in data architecture and business intelligence. He is currently Head of Product at SqlDBM, a Snowflake Data Superhero, and author of the bestselling Data Modeling with Snowflake.
Sonny Rivera
Head of Data & AI
CPI Security
As one of Snowflake's original Data Superheroes, he has a deep knowledge of cloud data platforms, data modeling, and analytics technologies such as dbt Cloud, Snowflake, AWS Redshift, ThoughtSpot, and Looker. He has led multiple migrations to cloud data & advanced analytics platforms from on-premise platforms such as Cloudera and Oracle. He also know as a international thought leader on embedded analytics, data monetization, and data product management. He has a passion for data and analytics and is always looking for ways to help organizations leverage their data to drive business value.