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In 2026, data engineering isn't about managing data — it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ecosystems that deliver insights instantly.
As AI and data engineering converge, pipelines now generate embeddings, feed vector databases, and power GenAI applications. Success depends on data quality, observability, and governance forming the foundation for trustworthy, scalable AI.
This year marks a turning point: from pipeline building to engineering adaptive data platforms that drive speed, intelligence, and trust.
Join this roundtable and learn from industry experts about:
- The technologies transforming data engineering
- Balancing governance, performance, and scalability
- Real-world insights from enterprise data leaders
- How AI and automation will reshape data teams
Reserve your seat today and get ahead of the trends defining 2026.
Register Now to attend the webinar Top Trends in Data Engineering for 2026. Don't miss this live event on Thursday, January 29, 11 AM PT / 2 PM ET.
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MODERATOR |
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Sumeet Kumar Agrawal
VP Product Management
Informatica |
Oz Katz
Co-founder and CTO
lakeFS |
Lucas Beeler
Senior Solutions
Engineer & Architect
Aerospike |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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