Live Webinar
From 60 Minutes to 10
Faster Queries, Lower Costs, Real Impact
- Date: 19th May
- Time: 4:00PM CET
How do you modernize analytics in a high-volume, real-time environment—without rebuilding everything from scratch?
In this session, we share how Dimoco, a global paytech company, transformed its analytics architecture to overcome slow BI loads, scalability limits, and operational complexity.
Together with Exasol, they redesigned their data warehouse approach to enable faster insights, real-time decision-making, and more efficient data processing—while reducing costs.
We’ll walk through the key architectural decisions behind this transformation, including how to optimize performance across existing systems like Oracle, and how to integrate modern analytics capabilities without disrupting core operations.
What you’ll learn:
- How to identify and overcome common bottlenecks in legacy data warehouse environments
- Key architectural patterns for improving query performance and scalability
- Practical approaches to data ingestion (ETL, JDBC, virtual schemas, streaming)
- How to balance in-memory analytics with external data sources
- Real-world results, including major improvements in query speed, throughput, and cost efficiency
This session is ideal for data engineers, architects, and analytics leaders looking to modernize their data platforms and deliver faster, more reliable insights.
Register now and see real world results.
Your Speakers
Miklos Czirfusz
Systems Engineer, Data Analyst Supply Chain Management at Dimoco
Mathias Golombek
CTO at Exasol