In a Fireside Chat with Apple’s Steve Wozniak

Get ready to hear from Apple co-founder, innovator, and engineer Steve Wozniak, who was cemented as a Silicon Valley icon when he designed the Apple Computer 1. He has spent more than forty years as a technology entrepreneur and philanthropist. In this Q&A-styled keynote moderated by Vinay Saxena, VP/Fellow, CTO GreenLake Cloud Services at Hewlett Packard Enterprise, Woz will share the founding story of Apple, how he met Steve Jobs, their long standing partnership, the ups, the downs, the known, the unknown. You’ll also hear his thoughts on innovation, creativity, education, and the future of technology.

CEO Keynote: Achieving a Data Mesh with Starburst

Hear from Starburst’s Co-Founder and CEO, Justin Borgman, on the rise of the Data Mesh movement and what it means for your organization. Data Mesh requires a paradigm shift involving people, process, and technology. Data Mesh not only acknowledges that data is inherently decentralized, it embraces that fact. In this talk, Justin will demystify Data Mesh and share concrete ways to begin your journey. You’ll learn how you can achieve quick wins and solve real pain along the way, while building towards a complete data mesh vision over time.
Join this session sponsored by ThoughtSpot to learn why the world’s leading companies are calling Starburst the analytics engine for the Data Mesh.

Starburst Product Vision

Starburst is on a mission to enable next generation analytics anywhere. In this session, hear from Starburst’s Co-Founder and VP of Product, Matt Fuller, as he gives an overview of our 2022 product roadmap, and how it can help advance your journey towards your Data Mesh vision.

EMIS: Leading Ground Breaking Research on the Treatment of COVID-19

Providing better patient care all comes down to having access to the right information at the right time. Hear Richard Jarvis, CTO at EMIS Health, discuss how he and his team are making new scientific discoveries with Starburst and changing the way we treat COVID-19.

Data Mesh & Data Fabric: A Technical Comparison

On the surface, the idea of a Data Mesh and a Data Fabric can sound similar. But they involve vastly different technical approaches. This session, moderated by former Gartner analyst Sanjeev Mohan, will start by analyzing the technical implementation details of a Data Mesh, and then comparing and contrasting that to Data Fabric. Ultimately both solutions are valid approaches and can co-exist. Sanjeev will be joined by Daniel Abadi, professor of Computer Science at the University of Maryland, and Zhamak Dehghani, founder of the Data Mesh framework, for this technical discussion.

Data Product Master Class with Accenture

Building & sharing data products is at the heart of the Data Mesh concept. Data products are the future of better & faster insights that drive new monetization opportunities. In this Master Class, Teresa Tung, Accenture’s Cloud First Chief Technologist will teach you how to identify a data product opportunity, how to sell it within your organization, and how to get started once your concept is sold. This session will include a hands-on workshop so you leave with personal next steps unique to your companies’ data product opportunity.

From Theory to Practice: O’Reilly Market Research

The Data Mesh is poised to replace data lakes and data warehouses as the dominant architectural pattern in data and analytics. By promoting the concept of domain-focused data products that go beyond file sharing, Data Mesh helps you deal with data quality at scale by establishing true data ownership.In this talk, Zalando’s Max Schultze and Thoughtworks’ Arif Wider will share their findings and insights from O’Reilly’s latest market research report, Data Mesh in Practice. You will gain an in-depth understanding of the steps involved in a Data Mesh journey, along with common pain points and best practices.

AWS: How Starburst is Expediting Access to Data with Graviton

Since 2018, AWS has started releasing new generation of instances using custom design silicon and introducing the Graviton series of processors. During this session, you’ll learn more about why AWS has chosen to design its own silicon, how customers can benefit from better performance at a lower cost, and how Starburst leverages those processors to bring the best level of price/performance to its customers.

Self-Service Data Infrastructure @ British Telecom

In 2014, British Telecom launched its big data platform not as a centralized enterprise analytics platform but as a self-service data infrastructure. In four years, over 100 data products were developed in 7 business domains. But how did they do it? In this session, Phillip Radley, who spent 30+ years at British Telecom, will share key lessons learned through establishing and scaling a self-service data infrastructure. Learn how to fund and bootstrap a MVP, secure executive buy-in, and overcome challenges as you get ready to build your own!

Driving Jaw Dropping Customer Value with the Data Mesh

Vista’s mission is to be the design and marketing partner for millions of small businesses around the globe. Learn from Sebastian Klapdor, EVP & CDO at Vista, how they leverage the Data Mesh to build scalable data products to generate sustainable value for their customers and business stakeholders. Hear how the company dramatically increased efficiency and velocity ramping up 25+ autonomous data product teams with end-to-end responsibility working in the mesh and delivering on its vision to make Vista one of the world’s most iconic data-and-analytics-driven companies.

TSYS: Journey Towards Data Mesh

Learn how TSYS, a leading global payments provider in more than 100 countries worldwide, is building a next-generation data platform leveraging Starburst and Delta lake. In this session, hear Mahesh Lagishetty, Vice President of Data Engineering, and Hariharan Banukumar, Director/Lead Data Architect at TSYS share their journey and how they’re building a next generation cloud-agnostic data platform, moving from a centralized Data Lake ownership to embrace a distributed Data Mesh architecture backed by Starbust and built on Delta Lake. The talk will outline the ongoing efforts to make the creation of data products as simple as applying a template.

Touch, Talk, and See your Data with Tableau!

In this session, Tableau’s Vlad Usatin will give a demo by connecting Tableau directly to a Starburst instance. It will launch by creating a data model while talking to it using natural human language. After having a question and answer dialogue with Tableau, it will build a dashboard with clicks, not code. For every interaction, you’ll witness, Tableau generate dynamic SQL queries which will output dashboards rendered by the Tableau VizQL graphics engine (VizQL was designed under guidance from three-time Academy Award winner, Pat Hanrahan).

The State of Data: Annual Survey Results

Learn about the state of data, uncover emerging trends, and get ahead on your data strategy. In this session, Starburst will unveil the results from custom research conducted by EMA on the most important data and analytics topics with commentary from Tom Nats, Director of Solutions at Starburst, Karl Eklund, Principal Architect at Red Hat, and William Schoeppner, Director, Research and Consulting at EMA. You’ll walk away with valuable insights.

Are you Data Mesh Ready? Take the Data Mesh Readiness Assessment

If you’re struggling with data quality, data ownership, and data governance, this session is for you. Starburst’s VP of Data Mesh Consulting Services Adrian Estala will offer a fresh perspective on driving ROI with Data Mesh. Take the Data Mesh readiness assessment in real time and learn how to create demand for data sets that will solve business problems you’ve faced for years.

Atlan: Unlocking the Value of a Data Mesh Through Active Metadata

Today, metadata is everywhere. Every component of the modern data stack and every user interaction on it generates metadata. This in turn has led to an explosion in the size and scale of metadata making it difficult for centralized data engineering and reporting teams to fully leverage it. Today teams struggle to keep pace with the “service requests” and ramp up on the much needed domain expertise.

In this session, you’ll hear about the key components of a metadata platform, how it can help meet enterprise governance standards, and how it powers the Data Mesh architecture from Prukalpa Sankar, Co-founder of Atlan.

Starburst Galaxy Lab with the Trino Co-Creators

Get up close and personal in a lab with Trino/Presto’s original creators as they walk you through Starburst’s fully managed cloud offering, Starburst Galaxy. Follow along after setting up a Starburst Galaxy cluster with $500 worth of free credits. Dain will show you how to set up some catalogs in AWS to connect to a preexisting dataset and run a few queries. Then he will walk through amazing Galaxy features like Insights, auditing, security roles, cluster scaling, and much more! Don’t miss this exciting lab that shows you the easy button way of deploying and managing your Trino cluster. Those who attend this session and sign up for Galaxy get a free Commander Bun Bun plushie and other Trino swag!

Product Lab: Build A Data Product

By treating data as products, organizations have the ability to make more informed business decisions faster than ever before. In this lab, you will have the opportunity to learn from Starburst’s Director of Engineering, Colleen Tartow PhD and Head of Data Products, Vishal Singh, how to use the Starburst Enterprise interface to create Data Products, providing business context around datasets so that data consumers can explore, discover, and analyze data with ease.

Monte Carlo: In Data We Trust: Data Observability for the Data Mesh

Migrating to a Data Mesh? Great! But how do you know you can trust your data? Barr Moses, CEO & Co-Founder of Monte Carlo, discusses how best in class data teams are applying data observability to their distributed data architectures to achieve end-to-end trust and reliability at scale. This 15-minute talk will cover key tenets of data observability and what this looks like in practice for companies adopting the Data Mesh.

How to Get Started with Data Mesh: Strategy and Execution (with Zhamak Dehghani)

Learn all about strategy, implementation, and execution of Data Mesh first hand from Zhamak Dehghani, the founder of the Data Mesh paradigm. She’ll cover how to approach executing Data Mesh as a component of the organization’s data strategy and how to implement Data Mesh through evolutionary milestones.