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dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures.

We are excited to bring London-based folks in the dbt Community together! Looking forward to socializing and seeing both new and familiar faces. This meetup will not feature content, but is rather an opportunity for folks to connect and build connections with other analytics engineers and data folks.

🤝Organizer: Ed Hayter, Nathan Purvis, James Charnley through The Information Lab 🏠Venue Host: The Information Lab 🍕Catering: tbc

To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

EVENT DETAILS: The doors open at 6pm. Networking and chats at the office until 8:30pm. Food and refreshments will be provided. Our venue has capacity limits, so please only RSVP if you intend to come. If you need to cancel at the last minute, please change your RSVP status on this page to "Not Going." Message the organizer if you need help doing this..

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ 🤝Join the #local-ldn channel in dbt Slack (https://slack.getdbt.com/). ---------------------------------- Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 60,000 data teams use dbt, including those at Siemens, Roche and Condé Nast.

Learn more at getdbt.com, and follow dbt Labs on LinkedIn, X, Instagram, and YouTube.

London Analytics Meetup #10

Hosted by DeepMind at Google UK 6 Pancras Rd, Kings Cross!

Entry to the space is here: https://maps.app.goo.gl/FiuRH1zgCuyh1zz19

We need anyone attending to correctly fill in the registration questions as these details are needed for security. We will check these responses and remove members who have not filled them in properly to not attending.

Here is the form to fill in registration questions: https://forms.gle/vCGiBryf63vrh9Rr8

Please bring some ID.

Please fill in this form so we can continue to keep this Meetup and its topics relevant to you! Don’t worry if you have filled it before.

Please unRSVP if you find you can’t make it nearer the time.

We’ll have some food and drink courtesy of DeepMind.

Talks:

Ali Overy - DeepMind Rohan Thakur - Collectors - The Efficiency Equation: Maximising Impact with Minimal Resources Javier Martin - Tesco - From data request to impact: rethinking how we do data project

Join Snowflake London User Group & DET community in Holborn at MMC HQ for an evening of networking, drinks, food and talks from some brilliant speakers from the Data Engineer community, including:

Anna Aleshko (Data Engineer and Founder of Data Engineers London)- How we power insights using Snowflake for a £7bn business: Data Architecture and Data Products at Waitrose [SURPRISE] - The ultimate combination: how to run dbt-Core on Snowflake Container Services

Alex Spanos (Head of Data @Tarabut) - Automating Data Workflows for ML in Middle East Open Banking

🤝Sponsored by Snowflake, Orchestra and MMC Ventures

Event Schedule 6:30 - 7:00 : food, drinks, networking

7:00 - 7:20: Anna Aleshko, Data Engineer - How we power insights for a £7bn business: Data Architecture and Data Products at Waitrose

7:20 - 7:40: [SURPRISE] - The ultimate combination: how to run dbt-Core on Snowflake Container Services + Q&A

7:40 - 8:00 : Alex Spanos (Head of Data @Tarabut) - Automating Data Workflows for ML in Middle East Open Banking

8:00-8:30: Q&A

8:30 onwards: drinks and pub

Join the guestlist 👉to secure your spot as spaces are limited.

This gathering of London’s Data Engineer Things community is organised by Hugo Lu (Orchestra) and sponsored by Snowflake and MMC Ventures

About DET: Data Engineer Things (DET), founded by Xinran Waibel, is an online community and publication dedicated to curating learning resources for data engineers. The London chapter is focused on bringing together like-minded data engineers and practitioners to share experiences, and speak about high-quality real-world data engineer projects, and of course, socialise.

Talk submission: If you'd like to submit a talk (or help us organise!) please reach out to Hugo or Tim Webster on Linkedin. Similar to the Data Engineer Things Medium blog, we recommend submitting talks on some of the topics below, which are educational and beneficial to the wider community!

Speaking about relevant professional experiences is also recommended:

Project ideas: Interesting data engineering projects you've done (ideally in a professional capacity)

---> Tech stacks: Building a batch/streaming pipeline on AWS, for example

---> Engineering process: Integrating CICD into data engineering dev cycle

---> Overlooked topics: e.g. how to design systems for high data quality

Which could be interspersed with stories about:

---> Career switching: Transitioning into DE from another field

---> Interviews: Preparing for data engineering interviews

DET Resources: Slack: http://join.det.life

Medium: https://blog.det.life

Youtube Channel: https://www.youtube.com/@data-engineer-things/streams

Website: https://www.dataengineerthings.org/aboutus/

Agenda

6:30 PM: food, drinks, networking

7:00 PM: Anna Aleshko, Data Engineer - How we power insights for a £7bn business: Data Architecture and Data Products at Waitrose

7:20 PM: [SURPRISE] - The ultimate combination: how to run dbt-Core on Snowflake Container Services + Q&A

7:40 PM: Dario Morelli - Lessons from Truelayer - Building the Data & Analytics Team for the UK's largest Open Banking provider

8:00 PM: Q&A

8:30 PM: drinks and pub

Speakers

Anna Aleshko - Waitrose (Data Engineer)

https://www.linkedin.com/in/anna-aleshko;

Dario Morelli - Truelayer (previous) (Head of Data Analytics)

https://www.linkedin.com/in/morellidario/;

Surprise Speaker

https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview;

Partner

Data Engineering Things (https://blog.det.life/)

Snowflake User Groups

Complete your event RSVP here: https://usergroups.snowflake.com/events/details/snowflake-london-presents-london-snowflake-user-group-x-data-engineering-things-community-meetup-at-mmc-hq-holborn/.

💻📝🎟️ IMPORTANT: To secure your spot, registration is mandatory. Please register for the event at the Big Data LDN website: https://bigdataldn.com/register.

Join us for a special event at Big Data LDN as we delve into the fascinating world of Fast Data and Apache Kafka. This meetup will focus on the critical role Kafka plays in enabling real-time data movement and how we move between slow and fast data systems.

🌐 Our expert speakers will take the stage to discuss the challenges and solutions associated with real-time data processing. Discover how businesses are transitioning from traditional batch data processing to harnessing the power of real-time insights for better decision-making and agility.

Date and Time: 🗓️ September 20th, ⏰ 6:00 PM - 9:00 PM 🕘

Venue: 🏟️ Fast Data Theatre, Big Data LDN, Olympia, Olympia Way, London W14 8UX

Event Theme: 🌐 Exploring Fast Data with Kafka - Moving from Batch to Real-Time

Attending Brands: OSO, Quix, Aerospike

Networking: Pizza + Beer at the end

Schedule: 18:00 - 18:15 Registration 18:15 - 18:20 Kick-off - Richard 18:20 - 19:00 Talk 1: Quix (including Q&A - hosted by OSO) 19:00 - 19:15 Break 19:15 - 19:45 Talk 2: Aerospike (including Q&A - hosted by OSO) 19:45 - 20:30 Networking (Pizza & Beer)

🎙️ \~Talk 1\~ Talk Title: Dr. Streamlove, or: How I Learned to Stop Batching and Love the Stream

Summary: The suggestion of adopting streaming technologies usually receives undue resistance in organisations. In the past, there was a high barrier to entry for technologies such as Apache Kafka. Today a modern application team can use their preferred programming language with a variety of managed platforms and open source libraries, such as Quix. Join us as we show you how to approach streaming adoption with a modern mindset.

Key talk takeaways:

• Introduction to batch and stream concepts.
• Batch mindset vs stream mindset.
• Common reasons for resisting the adoption of streaming technologies.
• Recognising the signs that moving to streaming will be beneficial.
• How to take the first steps in adopting streaming technologies.

🗣️ Speaker: Tun Shwe - VP of Data at Quix

Tun is focused on helping companies imagine and execute their strategic data vision with stream processing at the forefront. He was previously a Head of Data and Data Engineer at high growth startups and has spent his career building and leading T-shaped teams in developing analytics platforms and data-intensive AI applications.

🎙️ \~Talk 2\~ Talk Title: Unlocking the Power: Design Patterns in Streaming-Enabled Database Technologies

Summary: In the realm of Data-Intensive applications, Data Streaming and Data Persistence are indispensable pillars. Streaming-enabled databases, such as Aerospike, offer reusable solutions to tackle the common integration challenges that often arise between Databases, Streaming Technologies, and Microservices. Join us in this presentation as we delve deep into these design patterns.

Key talk takeaways:

• Understanding the concept of design patterns.
• Insight into Streaming-enabled databases.
• Recognizing typical integration issues between Data Streaming and Data Persistence technologies.
• Multiple design patterns to solve these common integration problems.

🗣️ Speaker: Behrad Babaee - Technology Evangelist at Aerospike

Behrad possesses expertise in building high-performance, low-latency, and hyper-scale data-intensive solutions. With a remarkable track record, he has architected and implemented solutions for prestigious financial institutions, multimedia conglomerates, and telecommunication behemoths, all of which have consistently maintained operational excellence over prolonged periods.

🎤🎤🎤 Apart from insightful talks, the event will include ample time for Q&A sessions, providing you with the opportunity to interact with the speakers and gain deeper insights into the topics discussed. Additionally, take advantage of the networking session to connect with like-minded data enthusiasts, industry professionals, and Kafka aficionados. 🤝🌐🚀

Don't miss out on this exciting event! All data enthusiasts interested in Apache Kafka are welcome to attend. 📈📊📚

Registration Information:

To secure your spot, registration is mandatory. Please register for the event at the Big Data LDN website: https://bigdataldn.com/register. Please note that attendees who have not registered through this link will not be accepted, so ensure you complete the registration process to reserve your place. 💻📝🎟️

Join us at the Big Data LDN X Kafka Meetup London Special Event and immerse yourself in the exciting world of Fast Data and Kafka-powered real-time data processing. We look forward to seeing you there! 🚀🎉🌐