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Unified Messaging and Data Streaming 101

Democratizing the ability to build streaming data pipelines will help turn everyone who needs streaming data to be able to do it themselves. By utilizing the open source streaming platform Apache Pulsar enhanced with Apache Flink, we can build messages and data streaming applications utilizing the one unified data platform.

Apache Pulsar supports multiple protocols including Pulsar, AMQP, Kafka, MQTT and RocketMQ. It also supports a variety of message subscription models to support all your workloads from batch, work queues, exactly once streaming and more. With the ability to run cloud native on all your K8, VM, container and cloud platforms. Pulsar has built-in geo-replication, scalability, separate of compute and storage, function support and high reliability. Let’s get streaming.

I will also touch of utilizing Apache Spark and Apache NiFi with Apache Pulsar.

Timothy Spann
Developer Advocate, StreamNative
Tim Spann is a Developer Advocate for StreamNative. He works with StreamNative Cloud, Apache Pulsar, Apache Flink, Flink SQL, Apache NiFi, MiniFi, 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, 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.