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In this session, we will walk through a full end-to-end workflow of health data analysis in R using a simulated database based of diabetes.

We will begin with exploratory data analysis (EDA) to identify initial patterns, distributions, and data quality issues. Then, we’ll apply data wrangling techniques to prepare the dataset for robust statistical investigation. Building on this foundation, we will create effective and elegant visualizations with ggplot2 to communicate insights clearly and intuitively.

Next, we will introduce inferential modeling for qualitative outcomes, discussing how to estimate associations, interpret the results, and translate findings into meaningful epidemiological insights.

Finally, we will explore cluster analysis to reveal underlying subgroups within the population and highlight the heterogeneity of diabetes profiles.

The session is designed to transition smoothly from basic to more advanced methods, offering a practical and reproducible framework for health data analysis.

No previous experience with medical datasets is required—all code will be shown step by step and shared afterwards.

Sorry to say we're now full! Videos of the talks will be available.

Roll into autumn with another Search & AI Meetup! We're hosted this time by Depop. The event will start at 6.30pm and finish by 9pm, with food and drinks available. This will be an in-person event (but we will try to record the talks and share the videos later).

Our first talk will come from our hosts Depop: "Putting taste at the heart of Depop's search; Personalising at scale" given by Hamza Wahid (Search engineer) and Adam Stapleton (Senior Staff Product Manager): "Search at Depop isn’t just about matching words — it’s about understanding taste. In this talk, we’ll share how we reframed broad searches as a recommendation problem, using embeddings trained on user–item interactions to deliver highly personalised results. We’ll cover how Depop’s marketplace data powers these embeddings, how we integrated them into our search ranking pipeline, and the engineering challenges of deploying such a system at scale."

Next up is Senior Search Product Manager Olena Gorbatiuk who'll tell us about "Three things I’d do differently as a first-time Search Product Manager": "Search PM isn’t like any other PM role. In this talk, I’ll share three key things I’d approach differently as a first-time Search PM, and how they changed the way I build products today."

We'll also make time for Q&A on all things search and AI and some general networking. As the nights draw in come to our cosy Search Meetup, organised by The Search Juggler, OpenSearch and Eliatra.

Please provide your full name and email address when registering for the event as we will need a list of attendees for security.

Whether you've just discovered SurrealDB or are an early adopter, you're invited to our monthly tech meetup SurrealDB Social at Huckletree, Oxford Circus. In addition to talks, the night will also include a live Q&A, plus food, drink and friendly networking.

📣 Talks by the SurrealDB team 😆 Informative, inclusive and fun! 🍕 Delicious bites – Homeslice, 🥗 Kaleido Rolls and 🍦ice cream 🍹Tasty drinks – including boozy and alcohol-free options, sponsored by Something & Nothing 💡 Discover awesome projects built by our SurrealDB community 🇬🇧 + 💻 Join us live in central London (Oxford Circus) for the in-person event, the talks will also be live streamed and available to rewatch via Youtube.

Agenda

18:30 - 19:00 Welcome Drinks Attendees arrive – grab a drink, explore the space and meet the SurrealDB team, including co-founders Tobie and Jaime Morgan Hitchcock.

19:00 - 19:25 'How I built a SaaS powered by SurrealDB' Micha De Vries Dive into a practical application of SurrealDB with Software Engineer Micha de Vries, showcasing his product built with SurrealDB.

19:25 - 20:00 Social & Tasty Bites A fun and informal way to connect with others in the tech community. Grab a slice of pizza or summer roll, hop on the Oculus or chat with other attendees and the SurrealDB team.

20:00 - 20:25 Deploy SurrealDB to Kubernetes with GitOps Ryota Sawada When trying out SurrealDB on your local machine for the first time, it is extremely simple to get started with its excellent CLI. But when we are ready to adopt it for larger workloads and use cases, how should we look to productionize in a horizontally scalable manner? SurrealDB documentation covers the HA scenario with TiKV used as the storage backend, but it mainly talks about connecting SurrealDB, and not so much about future upgrades and declarative management. This talk covers how you can start your cluster using GitOps, and manage all the configuration declaratively.

20:25 - 20:35 SurrealDB Q&A with co-founder Tobie Morgan Hitchcock

20:35 - 21:00 Social & Sweet Treats

FAQs

Is the venue accessible? Absolutely! There is a lift that takes you up to Level 4 where SurrealDB Social is held. Is a SurrealDB Social for me? SurrealDB Social is a meet-up for anyone who's interested in learning more about SurrealDB to come together with the UK team and learn about our latest features, releases and hear from the community about what they're building on SurrealDB. Am I guaranteed a ticket at this event? Our events are tech-focused and in the interest of keeping our events relevant and meaningful for those attending, tickets are issued at our discretion. We therefore reserve the right to refund ticket orders before the event and to request proof of identity and/or professional background upon entry. Are there any House Rules? At SurrealDB, we are committed to providing live and online events that are safe and enjoyable for all attending. Please review our Code of Conduct and Privacy Policy for more information. It is compulsory for all attendees to be registered with a first and last name in order to attend. Any attendees who do not adhere to these requirements will be refused a ticket.

The Presto community has mushroomed since its origins at Facebook in 2012. But ramping up this open source distributed SQL query engine can be challenging even for the most experienced engineers. With this practical book, data engineers and architects, platform engineers, cloud engineers, and software engineers will learn how to use Presto operations at your organization to derive insights on datasets wherever they reside. Authors Angelica Lo Duca, Tim Meehan, Vivek Bharathan, and Ying Su explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Alibaba Cloud, Hewlett Packard Enterprise, IBM, Intel, and many more use Presto and how you can quickly deploy Presto in production. With this book, you will: Learn how to install and configure Presto Use Presto with business intelligence tools Understand how to connect Presto to a variety of data sources Extend Presto for real-time business insight Learn how to apply best practices and tuning Get troubleshooting tips for logs, error messages, and more Explore Presto's architectural concepts and usage patterns Understand Presto security and administration