Jump right into the fresh, fast, and flavorsome river of real-time data analytics. Come around the campfire to discuss Apache Druid’s place in real-time architectures with experts from across the streaming ecosystem, including Apache Flink, Apache Kafka, Amazon Kinesis, and Python.
Panelists:
– Eric Sammer, CEO, Decodable
– Fred Patton, Developer Advocate, nStream
– Zander Matheson, Founder & Data Scientist, ByteWax
– Jeremy Ber, Solutions Architect, AWS
– Julien Calfayan, Software Engineer, Confluence
[Timestamp] Table of Contents:
[00:00] Introductions
[01:00] Predictions: What Technology or Pattern Will Disappear in 5 Years?
[06:00] Challenges with Streaming Architectures and AWS Services
[10:00] Real-Time Insights and Scaling Complexity at Atlassian
[12:00] Changes in Data Streaming from Cloudera to Today
[15:00] Importance of Data Governance in Early Development
[17:00] Unique Use Cases for Pythonic Streaming with ByteWax
[19:00] Lessons Learned in Operationalizing Streaming Analytics
[28:00] When Real-Time is Unnecessary: Choosing Boring Technology
[30:00] Complexity in Stateful Stream Processing
[31:00] The Evolving Role of SQL and Abstractions in Stream Processing
[32:00] Closing Remarks and Final Thoughts
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