FLiP Stack for Cloud Data Lakes

filling cloud data lakes with FLiP stack - pulsar, flink, nifi

Utilizing an all Apache stack for Rapid Data Lake Population and querying utilizing Apache Flink, Apache Pulsar and Apache NiFi. We can quickly stream data to and from any datalake, data lake house, lakehouse, database or any datamart regardless of cloud or size. FLiP allows for Java and Python developers to build scalable solutions that span messaging and streaming in cloud native fashion with full monitoring.

Speaker

Timothy Spann's Sessions

Apache NiFi 101: Introduction and Best Practices

Apache Pulsar Development 101 with Python

Apache Pulsar with MQTT for Edge Computing

FLiP Stack for Cloud Data Lakes

Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)