Streaming Visualisation

Explore streaming visualization techniques for high-velocity data streams in this Devoxx conference talk. Learn about the challenges of visualizing real-time data and discover various architecture blueprints for fast data visualization. Examine different approaches, including persisting data in NoSQL databases and using dedicated streaming visualization solutions. Compare traditional "data at rest" paradigms with modern streaming data processing methods. Dive into practical examples and product demonstrations, such as using Elasticsearch/Kibana, Redis NoSQL with custom web interfaces, and KSQL with Arcadia Data. Gain insights into the Apache Kafka streaming platform and its role in the data-in-motion ecosystem. Understand how to make timely decisions using up-to-the-minute data and keep information flowing in modern data analytics solutions. The talk concludes with a look at Spark Streaming and Oracle Stream Analytics, providing a comprehensive overview of streaming visualization options for today's fast-paced data environments.

Intro
Timely decisions require new data in minutes
Keep the data in motion...
Reference Architecture Modem Data Analytics Solutions
Date-in-Motion Ecosystem
Apache Kafka - A Streaming Platform
Visualization: many many options! But do they support Streaming Data?
Fast datastore with regular poling from consumer
1: Elasticsearch/Kibana
2: Redis NoSQL & Custom Web
2. Demo Redis NoSQL & Custom Web
Direct Streaming to the Consumer
Streaming SQL Result to Consumer
1: KSQL and Arcadia Data
1: Demo KSQL and Arcadia Data
3. Spark Streaming & Oracle Stream Analytics