Kolibri Games' Data Mesh Journey & Calculating Data Mesh ROI with Barr Moses

Presenters:
António Fitas, Head of Data Engineering, Kolibri Games
Barr Moses, CEO and Co-founder, Monte Carlo
Scott O'Leary, Solutions Engineer, Monte Carlo

Agenda (times in EDT; CEST start time is 6:30pm; PDT start is 9:30am):
12:30-12:35pm: Introduction by Scott Hirleman
12:35-12:45pm: How to calculate the ROI on your data mesh by Barr Moses (Monte Carlo)
12:45-12:55 pm: To mesh or not to mesh? How to determine when/if a data mesh makes sense for your team by Scott O’Leary (Monte Carlo)
12:55-1:30pm: Kolibri’s data mesh journey by António Fitas (Kolibri Games)
Post 1:30pm: Q&A with António, Barr, and Scott O'Leary

Format is Zoom broadcast*. We will upload to YouTube if you can't make it.

Barr will cover how to measure the impact of your data mesh - or rather, as community member Nick Heudecker aptly suggests: to answer the question: “Is this better than what we had before?”

Among other possible ROI metrics, Barr will discuss:

• Time to create data products / first insight
• Increases in analytical agility
• Usage of data across domains
• Lineage (by product, by domain)
• # of unique data products
• # of unique data users
  And so on…

During his session, Scott will discuss how to assess whether or not it makes sense for your data team to invest in building a data mesh and migrating to a distributed data architecture. He will address the following factors for adoption:

• Size of data team
• Unique applications / domains of data
• Scale of data operations

António will cover Kolibri's analytics journey, past -> present -> future, including why his team chose to migrate from a centralized data lake and central data engineering team to a data mesh with a distributed architecture and data team structure. He will discuss the following:

• Internal challenges and pitfalls Kolibri ran into and lessons learned so you can be better prepared to avoid them.
• When to bring new tools to the data platform stack.
• Driving buy-in internally for a new paradigm - generally and specifically at Kolibri.
• Choosing a data catalog / dealing with data discoverability.
• Data product scope and drawing domain boundaries.
• Team evolution as data engineering becomes more distributed.

*There is no requirement to "register" for the webinar after signing up for the meetup, it is just a normal link. We do not have access to your email address via meetup nor do we want to :)