Machine data: how to handle it better?
The rise of IoT and smart infrastructure has led to the generation of massive amounts of complex data. Traditional solutions struggle to cope with this shift, leading to a decrease in performance and an increase in cost. In this talk, we will take a look at this kind of data using a simulated Curiosity rover. Participants will learn how to create a data pipeline for ingestion and visualisation. By the end of this session, we will be able to set up a highly scalable data pipeline for complex time series data with real time query performance.
Outline/Structure of the Talk
High level outline of topics that will be covered in this presentation:
1. Growth of IoT and Sensor Data
2. Time-series data
3. Challenges that are posed by large volumes of time-series data
4. Showcasing and overcoming the problem: A case-study
5. Demo time: Curiosity rover simulation and data ingestion from the sensors and visualisation
By the end of this session, we will be able to set up a highly scalable data pipeline for complex time series data with real time query performance.
Developers, Managers, IoT Specialists
Prerequisites for Attendees
Some knowledge of databases, data pipelines and containers will help the audiences to follow along and make the most of this talk.
schedule Submitted 2 years ago
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