Live Webinar: November 27, 10am PT | 1pm ET
According to the 2018 Apache Kafka Report, 94% of organizations plan to deploy new applications or systems using Kafka this year. At the same time, 77% of those same organizations say that staffing Kafka projects has been somewhat or extremely challenging.
In this multi-part webinar series, StreamSets will take learnings from our customers and share practical tips for making headway with Kafka. Each session will discuss common challenges and provide step-by-step details for how to avoid them. By the end of the series you'll have many more tools at your disposal for ensuring your Kafka project is a success.
Kafka and Tensorflow can be used together to build comprehensive machine learning solutions on streaming data. Unfortunately, both can become black boxes and it can be difficult to understand what's happening as pipelines are running. In this talk we'll explore how StreamSets can be used to build robust machine learning pipelines with Kafka. In this session you'll learn:
- How to easily build pipelines with Tensorflow and Kafka
- Visualizing data in Tensorflow pipelines
- Creating reusable code fragments for standardizing pipeline best practices
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Clarke Patterson
Head of Product Marketing
StreamSets
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Kirit Basu
Head of Product Management
StreamSets
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