About us
Data Bristol has been formed to offer knowledge sharing and networking opportunities for data professionals, techies, researchers or simply those with an interest in data applications and technologies. We aim to provide an open, friendly environment in which everyone can participate, learn and share their knowledge and experience with presentations covering a wide range of topics.
So, whether, you’re a data developer, engineer, scientist, analyst, manager, professional, academic etc, please feel free to join. Events generally cover the following subject areas: -
• Data Engineering
• Data DevOps
• Business Intelligence
• Database Administration & Development
• Advanced Analytics & Big Data
• AI and ML
• Infrastructure & Platforms
• Cloud & Internet of Things (IoT)
• Other Emerging Technologies
Meetings provide an opportunity for established and new speakers to share their experience, knowledge and thoughts for the benefit of all members. Attendees are encouraged to socialise, ask questions, network and learn from others. We aim to cater for different experience levels, with topics suitable for beginners through to more advanced subjects.
All attendees are expected to adhere to the Code of Conduct below.
### Code of Conduct for group leaders
As event and experience organizers, we seek to provide a respectful, friendly, professional experience for everyone, regardless of their gender, sexual orientation, physical appearance, disability, age, race, or religion. We do not tolerate any behavior that is degrading to any gender, race, sexual orientation, or disability, nor do we tolerate any behavior that would be deemed harassment or discrimination. Individuals are responsible for knowing and abiding by our standards and we encourage everyone to assist in creating a safe and welcoming environment. Please report any concerns, suspicious activity, or disruptive behavior to the Azure Data Community team so we can address issues immediately.
### All group members should follow
Throughout each interaction:
- Be friendly and welcoming
- Listen with purpose and create space for others’ communication preferences.
- Ask yourself how you can make someone life easier.
- Be patient
- Remember that people have varying communication styles and preferences.
- Recognize that not everyone is using their native language. Meaning and tone can be lost in translation.
- Be thoughtful
- Think about how others will interpret your words. Aim for clear and productive communication.
- Remember that sometimes it is best to refrain from commenting.
- Be respectful and inclusive
- Respect differences of opinion.
- Seek to understand and build bridges, not condemn or criticize.
- Make a conscious effort to include people who differ from you.
- Be open and curious
- Assume good intent and interpret others’ statements or questions in good faith.
- Ask questions to understand, not denounce.
- Focus on continuous learning. Improve upon the things you already know, tackle new things, and ask others about their expertise to deepen your own knowledge.
###
### Summary
- Treat everyone with respect, kindness, and empathy.
- Use welcoming and inclusive language.
- Be thoughtful in how you communicate in person and online.
- Don’t be destructive or inflammatory.
- Gracefully accept constructive criticism.
- Listen with purpose and create space for others’ communication preferences.
- Reach out to the organizers if you need anything.
Upcoming events
1

Snowflake Openflow, AI-Augmented Data Team
iO Associates, St Bartholomew's House, Bristol BS1 2NH, Bristol, GBLocation: TBC
Presentations by Snap Analytics - snapanalytics.co.uk - an enterprise partner to help connect data, technology and teams to deliver exceptional business outcomes.
AGENDA
18.00 – 18:30 Meet & Greet
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18:30 - 18:35 Introduction & Welcome
Welcome, and thanks to our sponsors
--------------18:35 - 19:00 Talk: Snowflake - The Openflow connector by James Parr
The ETL capabilities of Snowflake. More info coming soon.
Speaker bios below.
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19:00 - 19:30 Pizza and Networking
--------------19:30 - 20:15 Talk: The AI-Augmented Data Team: Scaling Delivery Without Scaling Headcount by Will Taite
Every data leader faces the same fundamental tension: the business demands data products faster than engineering capacity allows. While our current delivery frameworks provide essential governance, scaling them to meet modern demands often requires a linear, and expensive, increase in headcount. The solution isn't to abandon our engineering disciplines, but to supercharge them.
In this session, we will unpack the transition to the AI-Augmented Data Delivery Lifecycle. Moving beyond the hype, we will share practical examples of how leading teams are utilizing context-driven agents and automation to optimise the most time-intensive phases of delivery, from conceptual modelling and pipeline generation to robust testing and CI/CD.
Attendees will leave with a clear blueprint for integrating AI into their existing workflows, reducing manual engineering overhead, and freeing their teams to focus on what truly matters: high-value architecture and driving strategic business impact.Speaker bios below.
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20:15 - Social/Pub---
Speaker BiosJames Parr
Principle Consultant @ Snap AnalyticsWill Taite
Head of Data Platforms @ Snap Analytics----
Photos
We ask that you do NOT take photos at this meetup.We will invite people to be included in a group photo/s during the event. Speakers will let you know if it's okay to photograph their presentation (excluding other attendees).
You may see organisers taking photos during the talks. These will be of speakers, if they have agreed to this, and will not include faces of attendees.
4 attendees
Past events
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