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Online Talk

Show Me How: Omnichannel Analytics with Streaming Pipelines

Available On-demand

Retailers interact with their customers through multiple channels. Earning customer love means providing an insightful and seamless experience. Whether customers start at a brick-and-mortar store or engage via web, mobile, or targeted ads, they expect timely recommendations, great loyalty rewards, and well-timed offers.

To do this right, customer data must be available, discoverable, easy to act on, and requires integrating data from dozens of ever-changing on-prem and cloud based systems.

Join us on April 26 at 10AM PST as we discuss how modern retailers can break down data silos with streaming data pipelines and enable organizations with fully governed real-time data flows, so different teams can gain self-service data to meet and serve customers, wherever they are.

Bring your laptops for an interactive workshop where we will cover the following topics:

  • Review common clickstream, orchestration, ML, and analytics patterns
  • Use Confluent Connect, ksqlDB, and Streams Designer to build streaming pipelines, perform transformations, and serve lookups for actionable customer intelligence and events
  • Create discoverable data products across martech and business architecture teams

Who should attend:

  • Engineers, developers, architects, or anyone interested in understanding event-driven system design and use cases
  • Any skill or maturity level with event-driven systems, Kafka, or messaging in general

Please note: A Confluent Cloud account is required for the lab session. Prior to the event, please sign up for a free account here. New sign-ups receive $400 to spend during their first 60 days. No credit card required.


Renée Stephen

Sr. Solutions Engineer, Commercial at Confluent

Renée began her career in IoT, setting up interfaces and data historian systems for researchers studying sustainability in the built environment. She later moved into devops and web, building apps and managing student systems at the University of British Columbia. Recently she’s moved into the customer data and martech space, solutioning CDP builds for global retail customers.

Tanvi Kotibhaskar

Sr. Solutions Engineer

Tanvi Kotibhaskar is a Senior Solutions Engineer at Confluent, driving customer success by leveraging over 10 years of experience in the field of Information Technology across pre-sales, consulting, project delivery, and product development. She is passionate about engaging with customers to understand their technology landscape, goals, and challenges, and presents them with opportunities for growth, cost reduction, and innovation.

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices