Streaming Patterns and Best Practices with Apache Pulsar for Enabling Machine Learning and Analytics

Apache Pulsar architectural patterns for real-time, multi-dimensional analysis; maximizing the effectiveness of your machine learning engineers and data scientists, and unlocking more power from your data infrastructure.
I also cover the common issues associated with ETL pipelines and the popular data warehousing and data lake movements. I talk about why streaming (Kappa architecture) is superior for complex pipelines and cover techniques for helping you magnify what you can accomplish with it.
Featuring Druid, Flink, Imply, Dgraph, and Ignite.