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1
Introduction
2
PubSub
3
Dataflow
4
Downsampling
5
Visualization
6
Taxes
7
Configuration
8
BigQuery
9
Save data to disk
10
BigQuery demo
11
Machine learning
12
Architecture
13
Data prep
14
Data cleaning
15
ML Engine
16
Deployment
17
Demo
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Training model
19
Data flow
Description:
Explore serverless datastream processing in this 31-minute Devoxx conference talk by Martin Görner. Dive into the shift from big data to fast data, and learn how to build an end-to-end system using serverless components on Google Cloud Platform. Discover how to handle messages, process complex datastreams, manage persistence, query and clean data, and implement machine learning for both training and serving predictions. Follow along as Görner demonstrates these concepts using a real-world example of a business running a fleet of connected taxis in NYC. Gain insights into topics such as PubSub, Dataflow, downsampling, visualization, BigQuery, ML Engine, and data preparation. This Java-focused talk is ideal for developers interested in cutting-edge datastream processing techniques and serverless architectures.

Serverless Datastream Processing

Devoxx
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