On-Demand Event
Your Databricks lakehouse is only as powerful as the data feeding it. But for most enterprises, getting data in — from legacy databases, SaaS apps, on-prem systems, and high-volume transactional sources — is still the hardest part. As AI and agentic workloads raise the stakes for data freshness and reliability, the cost of a broken or stale pipeline keeps climbing.
In this session, we'll show how CData Sync closes the source coverage gaps that native connectors can't, delivers near real-time CDC pipelines directly into Delta Lake and Iceberg, and orchestrates multi-step workflows without external tooling — so your Databricks environment stays analytics-ready and AI-ready, all the time.
What you'll learn
How to connect hundreds of data sources to Databricks using CData Sync's pre-built connectors — without custom code or brittle workarounds
How CDC pipelines keep Delta Lake and Iceberg tables fresh with low-latency, incremental updates that support AI and agentic workloads
How CData Sync's built-in orchestration eliminates the need for external pipeline tooling, reducing complexity and operational overhead
