Session

FLiP Stack for Cloud Data Lakes

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.

Timothy Spann

Principal Developer Advocate for Data in Motion @ Cloudera

Princeton, New Jersey, United States

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