Accelerate Customer & Partner Integrations and Onboarding
Learn how companies like DoorDash and Instacart build exactly the data flows they need to enable seamless data sharing between internal and external teams, reducing manual effort and accelerating time to value.
Grappling with complex inter-company integrations? Join us for a 30-minute technical demo of Nexla’s powerful data integration platform, and see how you can build exactly the data flow you need to streamline and simplify the onboarding of external partners, suppliers, and customers. See how companies like DoorDash and Instacart are leveraging Nexla to enable seamless data sharing between internal and external teams, reducing manual effort and accelerating time to value.
Led by Nexla’s Solutions Engineer, Gabriel Campos, this session will provide an in-depth look at Nexla in action through a live demo and have the opportunity to ask questions during the Q&A.
Why Attend?
- Accelerate Inter-company Integrations: Learn how Nexla helps companies like DoorDash and Instacart onboard external data partners quickly and efficiently.
- Simplify and Reduce Manual Work: Discover how Nexla’s automation capabilities eliminate the heavy lifting typically involved in external data integration.
- Gain a Competitive Edge: See how our platform can help you stay ahead of data demands with real-time, no-code integrations that connect to any data source or destination.
Key Takeaways:
- Easily build the data flow you need: See how Nexla handles any data use case including ETL, Reverse ETL, Streaming, API, and more.
- Use Case-based Demo: See Nexla’s external integration capabilities in action, from setup to automation.
- Real-World Use Cases: Learn how leading companies are tackling data challenges with Nexla.
- Q&A Session: Ask our expert, Gabriel Campos, your most pressing questions.
Gabriel is a solutions architect at Nexla. He is an expert in data integration and is seasoned in designing data architectures and building data pipelines. As Nexla’s GenAI Ambassador, Gabriel leads the exploration of AI use cases and the creation of compelling demo scripts, driving innovation and demonstrating the transformative potential of AI in data engineering.