Clover's POS relied on slow batch data, hindering timely decisions on inventory, staffing and finances. Partnering with Striim, they implemented real-time data streaming from MySQL to Snowflake on Google Cloud. This shift provided instant insights into sales trends, stock levels and workforce needs. The outcome: accelerated decision-making, streamlined operations and improved cash flow. This modern, automated data pipeline delivers actionable, up-to-the-minute analytics, revolutionizing POS industry efficiency.
Partners
Striim
Blue Square
1501
Sponsored Sessions
Intermediate
Breakout Session
Technical Executive
Business Executive
Data Scientist
Product Manager
Data Engineer
Data Engineering & Streaming
4:00pm - 5:00pm
Financial Services
2921
Streaming
AI & GenAI
Iceberg Tables
Wed, Jun 4
All Days
Not department-specific
Financial Services (Industry-A)
AI & GenAI (Topic)
Data Engineering & Streaming (Topic)
Business Executive (Role)
Data Engineer (Role)
Data Scientist (Role)
Product Manager (Role)
Technical Executive (Role)
OnDemand
4:00 p.m. Wednesday, Jun 04
Wednesday, Jun 04
Intermediate
Theater Session
Technical Executive
Business Executive
Product Manager
Data Engineer
Data Engineering & Streaming
1:00pm - 2:00pm
Healthcare and Life Sciences
2919
Performance & Optimization
Marketing
IT Operations
Observability
Streaming
Data Engineering & Pipelines
Data Sharing & Collaboration
Snowpipe Streaming and/or Dynamic Tables
All Days
Theaters are first come, first seated
Not department-specific
Healthcare and Life Sciences (Industry-A)
Collaboration & Marketplace (Topic)
Data Engineering & Streaming (Topic)
DevOps & Observability (Topic)
Marketing & Customer 360 (Topic)
Business Executive (Role)
Data Engineer (Role)
Product Manager (Role)
Technical Executive (Role)
General Theaters
Thursday, Jun 05
1:00 p.m. Thursday, Jun 05
Hospitals can’t afford delays when it comes to staffing. Patients still need care, and the right clinicians need to be in place — especially during labor disruptions. AMN Healthcare’s batch data processing for staffing and credentialing data wasn’t always up to date, making it harder to respond quickly and efficiently.
That’s why AMN implemented Striim’s real-time data streaming and Change Data Capture (CDC) to move data instantly from their application data sources into Snowflake. Now, AMN can track staffing availability in real time, verify credentials faster, and make data-driven decisions without delays.
Speakers
John Kutay
Director of Product & Engineering
Striim
John Kutay is Director of Product & Engineering for Data & AI at Striim, where he leads cross-functional teams building real-time data infrastructure and AI-driven products. With a background spanning software engineering, product management, and venture investing, John brings a multidisciplinary perspective to solving complex data problems. He is also the host of What’s New in Data, a podcast with thousands of global listeners, where he explores emerging trends at the intersection of data, AI, and infrastructure. John has over a decade of experience in streaming data systems, from academic research to driving innovation at Striim.
Mario Melendez
Director Data Management & Analytics
AMN Healthcare
Mario Melendez is the Director of Data Management & Analytics at AMN Healthcare. He owns over 25 years of experience in Data Management and implementing large ERP applications. He specializes in leading Snowflake, SQL Server and PeopleSoft technology teams. His passions outside of technology include camping with his wife and two young daughters, surfing and Brasilian Jiu Jitsu.