Real-Time OCI Data Pipelines, Zero New Infrastructure

For teams on OCI who need to act on data as it happens, real-time processing has meant one of two bad options: self-managing Apache Flink, or moving data outside your tenancy.

In this session, engineers and architects from Oracle Cloud Infrastructure and DeltaStream show you how to close that gap.

If your team knows SQL, they can build real-time pipelines. DeltaStream runs those queries continuously against live Kafka topics in OCI Streaming with Apache Kafka, no Flink API, no new language to learn. Write a query, it runs. No build step, no deployment pipeline, no cluster to manage. Your data never leaves your OCI tenancy.

What You’ll Learn

• Connect OCI Streaming with Apache Kafka to a live processing layer in minutes, no new infrastructure to provision
• Write and deploy continuous SQL pipelines against Kafka topics without touching the Flink API
• Route processed streams into Snowflake, Databricks, or OCI Object Storage with no data leaving OCI
• Meet data residency requirements for regulated workloads by keeping all compute and processing inside your tenancy

Who Should Attend

• Data engineers running OCI Streaming with Apache Kafka or self-managed Kafka clusters who want to add real-time processing without a Flink cluster
• Data platform leads evaluating streaming ETL options within OCI
• Cloud architects designing real-time pipelines on OCI
• Teams in regulated industries (financial services, healthcare, public sector) with strict data residency requirements