HANDS-ON FLUX TRAINING
10 - 11 May, 2021 @ 9:00 am – 1:00 pm BST
Hands-On Flux Training
Duration: Two half-day, hands-on virtual course.
Date: 10-11 May, 2021 @ 9:00 am – 1:00 pm British Summer Time
Available spots: Spots are limited and only the first 50 will be able to register.
Registration: The fee for Flux Training is £350 registration (of course, you are also welcome to attend the now-free virtual InfluxDays conference featuring the keynote sessions).
Senior Analytics Consultant, Fort Digital
Training overview
The course provides an introduction to the InfluxDB 2.0 architecture, InfluxDB Cloud offering and services. It presents fundamental knowledge about time series analysis and stream processing. Central to the course is the use of Fluxlang by InfluxData. The course will cover subjects from Flux core concepts to advanced topics like User Defined Functions, passing by basic queries to manipulate time series data.
After taking this class, attendants will be able to:
- Articulate and implement simple use cases for InfluxDB
- Understand the basics of time series analysis and Stream Processing
- Understand the basics of Flux’s internals
- Use a subset of InfluxDB functionalities to manipulate time series data
- Master just enough Go as required to use Fluxlang
- Build data pipelines and query time series using Fluxlang
- Deploy Flux Tasks as Streaming jobs with InfluxDB
- Visualize the query results using InfluxDB Cloud UI
Audience
Data engineers who want a quick introduction into how to use InfluxDB and Fluxlang to enhance their ability to manipulate time series data and provide real-time analytics.
Prerequisites and notes
- Basic programming experience in an object-oriented or functional language
- Knowledge of SQL (would be helpful)
- Knowledge about data engineering tasks
- All participants will need:
- An internet connection
- A free account in InfluxDB Cloud
- Join the InfluxDB Community Slack
Software Engineer, Vera C Rubin Observatory
Day One |
Day Two |
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9:00 am – 9:30 am | Setup | 9:00 am – 9:30 am | Individual Presentation and Group Discussion |
9:30 am – 10:00 am | Introductions | 9:30 am – 10:15 am |
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10:00 am – 10:15 am |
|
10:15 am – 10:30 am | Q&A Break |
10:15 am – 10:30 am | Q&A Break | 10:30 am – 11:15 am | Bootcamp |
10:30 am – 11:15 am |
|
11:15 am – 11:30 am | Q&A Break |
11:15 am – 11:30 am | Q&A Break | 11:30 am – 12:15 pm |
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11:30 am – 12:15 pm | Data Analysis (Basic) | 12:15 pm – 12:30 pm | Q&A Break |
12:15 pm – 12:30 pm | Q&A Break | 12:30 pm – 1:00 pm |
|
12:30 pm – 1:00 pm |
|
1:00 pm | Wrap Up and Q&A |
Day One |
|
---|---|
9:00 am – 9:30 am | Setup |
9:30 am – 10:00 am | Introductions |
10:00 am – 10:15 am |
|
10:15 am – 10:30 am | Q&A Break |
10:30 am – 11:15 am |
|
11:15 am – 11:30 am | Q&A Break |
11:30 am – 12:15 pm | Data Analysis (Basic) |
12:15 pm – 12:30 pm | Q&A Break |
12:30 pm – 1:00 pm |
|
Day Two |
|
---|---|
9:00 am – 9:30 am | Individual Presentation and Group Discussion |
9:30 am – 10:15 am |
|
10:15 am – 10:30 am | Q&A Break |
10:30 am – 11:15 am | Bootcamp |
11:15 am – 11:30 am | Q&A Break |
11:30 am – 12:15 pm |
|
12:15 pm – 12:30 pm | Q&A Break |
12:30 pm – 1:00 pm |
|
1:00 pm | Wrap Up and Q&A |
Your Trainers
Emanuele Della Valle, PhD
Assistant Professor | Politecnico di Milano
Expert in semantic technologies and stream computing. Brander of stream reasoning: an approach to master the velocity and variety dimension of Big Data blending stream processing and AI +20 years experience in innovation and research projects
Marco Balduini, PhD
Founder & CEO | Quantia Consulting
Expert in data processing, data integration and data science technologies. Main contributor of the C-SPARQL Engine, author of Streaming Linked Data framework and FraPPE ontology ~10 years experience in innovation and research projects.
Riccardo Tommasini
Assistant Professor | The University of Tartu
Riccardo Tommasini is an Assistant Professor at the University of Tartu, Estonia. Riccardo did his PhD at the Department of Electronics and Information of the Politecnico di Milano with a thesis on “Velocity on the Web”. The thesis investigates the velocity aspects that concern the Web environment, together with other challenges such as variety and volume. His research interests span Stream Processing, Knowledge Graphs, Logics and Programming Languages. Riccardo’s tutorial activities comprise Stream Reasoning Tutorials at ISWC 2017, ICWE 2018, ESWC 2019, and TheWebConf 2019, and DEBS 2019.