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Join us for Datanova 2024, October 23-24th. We'll be discussing advancing analytics with Open Data Lakehouse innovations.
Learn moreGet time with Starburst leaders Matt Fuller, Co-Founder & VP Product, and Adrian Estala, VP Data Mesh Consulting to see how Sky, Zalando, EMIS and others are relying on Starburst as their Data Mesh analytics engine.
You can also get closer to our 90-day Data Mesh Pathfinder – it provides you with an opportunity to learn fast, fail small and to deliver the quick wins that are necessary to build confidence in your Data Mesh vision.
Secure exclusive content and get a limited VIP swag bundle before the summit:
We’d be delighted to host you and your team to learn more about your data-driven goals and challenges. Save your seat today!
What is Data Mesh? Join Starburst at booth 205 for an introduction into this modern approach to managing analytics at scale. Data Mesh embraces decentralisation over-centralisation, meaning it allows companies to become more efficient in accessing and exploiting data as a core architectural approach.
A Data Mesh transformation offers new challenges to data leaders. The sheer volume of data sources, the demand for analytics speed, and the evolving digital business landscape. New tools, new challenges.
Join us to walk through the 90 day data mesh pathfinder. A Pathfinder is the first step in any transformation program. It provides us an opportunity to learn fast, fail small and to deliver the quick wins that are necessary to build confidence in our Data Mesh vision.
Exclusively for those that pre-register (using the form above), we will be welcoming VIPs to collect their free (worth £40) hardback copy of Zhamak Deghani’s ‘Data Mesh: Delivering Data-Driven Value at Scale’ book. We will also be giving away £15 Starbuck gift cards so you can grab a coffee in the O2 Arena and start turning those pages!
Data Mesh aims to prescribe that the ownership of data products should live in business domains, ensuring that data is treated as a first-class product across the organisation. This is a drastic strategic shift, wherein data is no longer treated as a by-product of activities in which the business engages, but as a key value-driver that should direct business decisions. Learn how to deliver data as a product to empower business domains to become truly data-driven while freeing data teams from costly, time-intensive data management tasks.
Co-Founder and VP of Product
Read moreMatt Fuller is a co-founder of Starburst and the VP, Product. Prior to Starburst, Matt was a director of engineering at Teradata, where he worked to build the new Center for Hadoop division within the company. Before Teradata, Matt was an early engineer at Vertica, where he co-built the query optimizer. Matt is also a Very Large Databases (VLDB) published author and has US patents in the database management systems space.
VP Data Mesh Consulting Services
Read moreWith a background in leading Digital and IT Portfolio Transformations, Adrian understands the value of creating executive frameworks that focus on material business outcomes. Previously, Adrian was Chief Data Officer at Shell. Prior to that, he led the development of several IT Strategic Consulting Services at KPMG.
Skilled with getting the most out of data-driven investments, Adrian is a trusted adviser to navigating complex data environments and integrating the Data Mesh vision on your terms. His contagious passion for learning and innovation creates an engaging discussion with executives who are on their own digital transformation journey.
Lead Solution Architect, Data Mesh
Read moreAndy is the EMEA Head of Partner Solutions Architecture and Data Mesh Lead at Starburst. Andy is supporting the rapid growth of technology partners across Europe and the Middle East, working with the likes of Data Reply, AWS, Google Cloud, Red Hat, and Thoughtspot.
With over 20 years in analytics and data-focused roles, Andy’s specific focus is considering how an organisation’s use of analytics, analytical culture and analytical processes can be optimised through technologies such as self-service data tools, cloud, and streaming analytics.
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Up to $500 in usage credits included