talk-data.com

We're delighted to announce our next meetup will be hosted by Datatonic.

Agenda:

6:00pm: Doors open, networking, food, drinks. 7:00pm: Talks start! 8:00pm: Talks finish, Q&A. 8:30pm: Further drinks and networking.

Speakers:

Building a Modern Data Strategy – Jess Franks - Data & Analytics Engineering Manager @ Not On The High Street

Monolithic to Mesh – dbt at GoCardless - Katie Wiedmann and Priscila Fischer

Data Governance in BigQuery: Managing Privacy, Security & Compliance - Ash Sultan – Lead Data Architect at Datatonic

London Analytics Engineering Meetup is focused on discussing and spreading best practices in the growing field of analytics engineering. Whether you've set up the "Modern Data Stack" many times over or are brand new to tools like dbt, Looker, Snowflake, Bigquery and more, this is the meetup for you.

dbt Meetups are gatherings dedicated to helping you own your analytics engineering workflow. Events will focus on the impact of dbt in the data community and professional development tools for analytics engineers.

Expect big-picture conversations related to the data stacks, data operations, data teams, modelling, testing, dashboards, etc. If you work with data, this group is for you! We welcome data analysts, scientists, engineers, architects, and more!! ----------------------------------- 🇬🇧 Join the conversation in the #local-ldn channel in dbt Slack to follow speaking/hosting opportunities and news on upcoming meetups. ➡️ Receive an invite to join the dbt Slack community: https://community.getdbt.com/

🤝 Organizer: Datatonic 🏠 Venue: Datatonic's Offices, Level 45, One Canada Square, Canary Wharf

✨ Agenda & Speakers ✨

1. 17.30: Drinks & Food
2. 18.30: Automated rollback dbt model transformations for models with failed tests - Catalin Bobarnac\, Senior Solution Architect @ Snowflake
3. 19.00: Targeted, limited & automated backfilling through incremental strategy - Ash Sultan, Lead Data Architect @ Datatonic
4. 19:30 Networking

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

Behind any good DataOps within a Modern Data Stack (MDS) architecture is a solid DevOps design! This is particularly pressing when building an MDS solution at scale, as reliability, quality and availability of data requires a very high degree of process automation while remaining fast, agile and resilient to change when addressing business needs.

While DevOps in Data Engineering is nothing new - for a broad-spectrum solution that includes data warehouse, BI, etc seemed either a bit out of reach due to overall complexity and cost - or simply overlooked due to perceived issues around scaling often attributed to the challenges of automation in CI/CD processes. However, this has been fast changing with tools such as dbt having super cool features which allow a very high degree of autonomy in the CI/CD processes with relative ease, with flexible and cutting edge features around pre-commits, Slim CI, etc.

In this session, Datatonic covers the challenges around building and deploying enterprise-grade MDS solutions for analytics at scale and how they have used dbt to address those - especially around near-complete autonomy to the CI/CD processes!

Speaker: Ash Sultan, Lead Data Architect, Datatonic

Register for Coalesce at https://coalesce.getdbt.com