Session

Building Modern Data Streaming Apps

In my session, I will show you some best practices I have discovered over the last 7 years in building data streaming applications including IoT, CDC, Logs, and more.

In my modern approach, we utilize several open-source frameworks to maximize the best features of all. We often start with Apache NiFi as the orchestrator of streams flowing into Apache Pulsar. From there we build streaming ETL with Apache Spark and enhance events with Pulsar Functions for ML and enrichment. We build continuous queries against our topics with Flink SQL. We will stream data into ScyllaDB.

We use the best streaming tools for the current applications with FLiPN and FLaNK. https://www.flipn.app/

Timothy Spann

Principal Developer Advocate for Data in Motion @ Cloudera

Princeton, New Jersey, United States

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