Moving data from operational systems to analytics platforms often comes with delays, duplication, and missed opportunities. Traditional batch processes can’t keep up with the pace of decision-making today.
Lumenore’s real-time streaming using Kafka makes it possible to move data instantly from OLTP systems into a unified Lakehouse. This ensures your dashboards, reports, and AI models are always working with the most up-to-date information.
In this live session, we’ll show you how Lumenore enables seamless streaming, automated integration, and instant access to insights, so you can react faster, improve efficiency, and make decisions with confidence.
Key Takeaways
- Understand how real-time streaming enables instant data flow from OLTP systems to a Data Lakehouse.
- Discover how Lumenore’s application for data entry can seamlessly handle registrations and surveys.
- Learn how to ensure low-latency, high-accuracy data availability for business-critical decisions.
- Explore how real-time data pipelines reduce time-to-insight and improve decision-making agility.
Learn How To
- Set up a real-time data streaming pipeline from OLTP systems to a Data Lakehouse.
- Use Lumenore’s data entry application for capturing structured inputs like registrations and surveys.
- Automatically push application data into the Lakehouse for analytics without manual intervention.
- Build and manage dashboards that reflect live business data.
Register For The Webinar
Meet the Speaker
Raj Tiwari
Data Solutions Architect
Rishabh Tripathi
Senior Data Engineer
Raj Tiwari
Data Solutions Architect
Rishabh Tripathi
Senior Data Engineer
Want to see how Lumenore real-time streaming can work for your business?
