Oct 22, 2024

Transforming Stadium Merchandising with Retailcloud: Harnessing Imply for Real-Time Analytics

Join us for an in-depth look at Retailcloud’s groundbreaking Data and Analytics Platform (DAP), engineered to handle and analyze millions of transactions in real-time during major sporting events such as the NBA, NFL, and Golf tournaments. This innovative platform focuses on stadium merchandising operations, where the need for timely insights is paramount to optimizing sales performance. By harnessing the powerful capabilities of Confluent and Imply, we deliver real-time analytics that provide our customers with actionable insights into sales trends and performance metrics. This session will explore how these insights empower our clients to make swift, informed decisions, thereby maximizing their sales potential during high-profile events. Discover how Retailcloud is transforming the landscape of real-time analytics in stadium merchandising.

Speakers:
– Saravanan Vijayappan, VP of Engineering, Retailcloud
– Jamsheer Chandranthodi, Dir. of Platform Engineering & Data Analytics, Retailcloud

[Timestamp] Table of Contents:
[0:00] Introduction
[4:25] Stadium Operational Challenges
[7:24] Data Analytics Platform (DAP) Architecture
[17:30] Powering Up with Imply
[19:37] Challenges
[22:12] Solutions
[24:11] Conclusion

See similar videos

No records found...
Oct 22, 2024

Keynote: Powering Event-Driven Data with Apache Druid

The distinction between OLTP and OLAP is becoming less relevant as data architectures shift toward entities and events. In this session, we’ll delve into how Apache Druid’s event-first approach synthesizes...

Watch now
Oct 22, 2024

Closing Keynote: Charting the Future of Druid

What lies ahead for Apache Druid? Join us as we explore the evolving landscape of Druid’s query and storage engines, and how they are positioned to address the biggest challenges in event data for the future. Speaker: Gian...

Watch now
Oct 22, 2024

Salesforce: Tracing Service Dependencies at Scale with Druid and Flink

At Salesforce, we manage approximately 300 million distributed spans to infer service dependencies. We have successfully utilized a combination of Druid and Flink to handle this scale with high availability....

Watch now

Let us help with your analytics apps

Request a Demo