On March 10, 2022, at 6pm EST, we will do a live meetup on this topic.
Apache Pulsar and Apache NiFi For Cloud Data Lakes | Meetup
Discover how to stream data to and from your data lake or data mart using Apache Pulsar™ and Apache Nifi®. Learn how…
In a few days you will learn how to use Apache Pulsar and Apache NiFi to Stream to your Data Lake!
Discover how to stream data to and from your data lake or data mart using Apache Pulsar™ and Apache NiFi®. Learn how these cloud-native, scalable open-source projects built for streaming data pipelines work together to enable you to quickly build applications with minimal coding.
3:00–4:00 PM PST: Presentation — Tim Spann, StreamNative Developer Advocate
4:00–5:00 PM PST: Presentation — John Kuchmek, Cloudera Principal Solutions Engineer
5:00–5:30 PM PST: Q&A + Networking
John Kuchmek is a Principal Solutions Engineer for Cloudera. Before joining Cloudera, John transitioned to the Autonomous Intelligence team where he was in charge of integrating the platforms to allow data scientists to work with various types of data.
Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar™, Apache Flink®, Flink® SQL, Big Data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming. Previously, he was a Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Engineer at Hortonworks, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. He holds a BS and MS in computer science. He is currently working on a book about the FLiP Stack.
Apache NiFi Flow
Apache NiFi Flow To Apache Pulsar
See the source code here: https://github.com/tspannhw/FLiPN-NFT