PRO WORKSHOP: FLiP Stack for Cloud Data Lakes


Timothy Spann
StreamNative, Developer Advocate

Tim Spann is a Developer Advocate @ StreamNative where he works with Apache Pulsar, Apache Flink, Apache NiFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Principal Field Engineer at Cloudera, a Senior Solutions Architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.


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.