Join Starburst on May 28th for Launch Point, our new product summit showcasing the future of Starburst.
As the data landscape evolves, staying ahead means embracing new technologies. Through a variety of strategic discussions, technical insights, and expert advice, Datanova 2024 is your gateway to exploring how open data lakehouse architectures—powered by Icehouse, Trino, and Iceberg—are reshaping data management.
Justin Borgman
Brian Kidwell
As organizations keep gathering massive amounts of data, the challenge of turning that data into real insights is bigger than ever. With AI playing a bigger role in decision-making, missing out on those insights will only get more costly. Most data architectures are intentionally siloed due to business, technical, or regulatory reasons, which leaves both analytics and AI starving for the right business data. Join Starburst CEO Justin Borgman as he shares strategies to strengthen your data stack and lay the groundwork for a solid AI strategy. He’ll be joined by Brian Kidwell, CEO of Going, to discuss how accessing and analyzing relevant data in near real-time can unlock exponential business value.
Michelle Yi
In today's rapidly evolving technological landscape, Artificial Intelligence (AI) is at the forefront of innovation, offering transformative potential across various sectors. However, the success and reliability of AI systems depend on the quality and integrity of the data that underpins them. This talk delves into the intricate relationship between data and AI, highlighting the essential data foundations required for developing AI that is both effective and trustworthy. We will address new challenges introduced by generative AI, such as jailbreaking, sycophancy, data poisoning, adversarial facts, and more, demonstrating how leveraging the latest research techniques and robust data operations practices can provide significant advantages in navigating these issues.
Lakshmi Mohan
Sherin Thomas
In the ever-evolving landscape of data engineering, organizational culture plays a pivotal role in shaping success and fostering innovation. This presentation delves into the data engineering culture at Slack, a leading collaboration platform deliberately conscious about investing in all the critical components: people, process, and technology. We will explore Slack's approach toward building a resilient and adaptive data engineering team that balances strategy and history with innovation and iteration. Hear from Lakshmi Mohan, Engineering Director of Data Platform, and Sherin Thomas, Senior Staff Software Engineer, how cultivating a supportive and open culture can drive data engineering excellence and contribute to achieving broader organizational goals.
Teresa Reilly
Ethel Anderson
Ghada Richani
Laura Ellis
As data complexity continues to increase in the age of higher regulation, AI innovation, and the rise of cloud architectures, there is an elevated need for improved governance. How do you balance innovation with regulation? Hear from the governance leaders of today as they address new challenges that spawn from today's data management space. In addition to discussing best practices and organizational strategies, the panel will share how they are preparing for the future of data management in the lakehouse and with AI.
Benn Stancil
If everything goes the way that the experts say it will, AI will soon become a core part of nearly every piece of technology we use. But before that happens, some companies will probably use AI in ways that make their products and services worse. This talk will outline how that might happen, and will offer some suggestions about what companies can do to avoid it. Join Benn Stancil, former founder and CTO of Mode, to discuss how to take advantage of today's AI developments while avoiding major disasters.
Tobias Macey
Ken Pickering
In today’s data-driven world, the ability to process and analyze data near real-time is crucial for maintaining a competitive edge. This session explores how to effectively stream data into a data lakehouse using Trino and Apache Iceberg, two powerful technologies that together enable seamless real-time analytics on large-scale datasets. Join Tobias Macey, host of the Data Engineering Podcast, as he quizzes Ken Pickering, VP of Engineering at Going, on the challenges, benefits, and lessons learned on the journey of streaming data into the data lakehouse.
Ricardo Cardante
This session will show the audience the data journey Talkdesk took for the past 5 years, going from a traditional data lake built upon a lambda architecture with Hive to an Iceberg-based lakehouse governed by Starburst Galaxy. The session will include topics such as Lambda vs Kappa architecture, adoption and challenges with Iceberg in a super-fresh lakehouse, and how Starburst enables for fully automated and performant data federation experience.
Adrian Estala
Sanjeev Mohan
Shelly Kramer
Jess Macleod
In the State of Data Management report completed in August of 2024, only 37% of respondents felt their organization had the right data strategy in place for AI innovations. This panel will dive deeper into the importance of building a data foundation that facilitates both data and AI innovation, why there's a discrepancy between the two, and how to close this gap. By the end of the session you will hear actionable tips toward building a data strategy that supports AI.
Jason Zerbe
AI is transforming industries, but its reliance on vast datasets presents a challenge: how to balance innovation with stringent privacy regulations like the Colorado Privacy Act (CPA). With AI systems leveraging massive volumes of structured and unstructured data, organizations need a way to make that data available quickly, while ensuring that personal data is used responsibly and compliantly. Join us for this Lightning Lab, where you’ll see how Immuta helps you navigate this complexity and put data to work with speed and ease. We’ll explain how Immuta automates CPA compliance by dynamically enforcing data subject rights, including the right to deletion, across your entire data landscape. You’ll leave with an understanding of: -How Immuta streamlines data workflows and accelerates AI initiatives. -How Immuta automates compliance with the Colorado Privacy Act's right to deletion. -The benefits of integrating Immuta with Starburst for a secure and compliant open data lakehouse.
Tobias Ternstrom
Matt Fuller
Emma Tippet
In many organizations, data is dispersed across various systems, often across clouds and on-premises, making it difficult to fully integrate and utilize data for business initiatives. Addressing this issue involves implementing strategies like centralizing data in a single data lake or employing hybrid data federation techniques to enable seamless access across multiple sources. Join Tobias Ternstrom, Chief Product Officer at Starburst, in the day two keynote to learn about the latest innovations in data management, including how Starburst is helping organizations overcome the challenges of data silos and the limitations of data virtualization with an open, hybrid lakehouse architecture.
Sanjeev Mohan
Life is just too short to suffer suboptimal queries! As business decision-making accelerates at breakneck speeds, the underlying data infrastructure should be highly performant, cost-effective, secure, and reliable. If PostgreSQL is the de facto open-source standard for operational database management systems, can Trino be the open-source standard for high-speed analytics? In this session, we examine the key features of the rapidly evolving space of modern analytics and how Trino meets stringent business needs.
Matt Fuller
Eric Hwang
In today’s fast-paced data environments, the ability to ingest multiple streams of data in near real-time to the lake is becoming essential for organizations of all sizes for analytics. In this session, Matt Fuller (Co-founder & VP of Product at Starburst) and Eric Hwang (Co-creator of Presto/Trino and Distinguished Engineer at Starburst) will unveil our streaming ingestion component of the the Icehouse architecture—an innovative, open, SQL-based lakehouse solution designed to simplify building, maintaining, and operating an Iceberg-based data lake.
Manfred Moser
Alexander Jo
David Phillips
Carl Steinbach
In today's data-driven world, organizations face a rapidly evolving landscape of data engines, formats, and storage solutions. This panel will delve into the complexities of the modern data lakehouse and why we believe in utilizing Trino as the foundation. Experts from the Trino community will share their views around a wide array of topics pertinent to the lakehouse, including interoperability challenges and opportunities, the roles of emerging technologies in metadata management and cataloging, as well as the implications of Trino's evolution away from Hadoop dependencies.
Bryan Massie
Jorge Torra
At Lockheed Martin, our commitment to solving complex challenges and safeguarding lives is enabled by more than 100,000 dedicated team members across 300+ sites worldwide. This operational context forms the foundation for our Factory of the Future, which relies on an operational reference architecture that integrates data from disparate sources. In this context, Starburst plays a crucial role by enabling rapid value delivery through its data pipeline. This data pipeline materializes business value in the form of data objects that support various use cases, such as supply chain optimization, production scheduling, and quality assurance. By illustrating the value proposition of Starburst at Lockheed Martin and demonstrating its implementation, we aim to provide insights into the potential benefits of this technology for other organizations facing similar challenges.
Justin Borgman
Matt Turck
As we advance through 2024, the data landscape is undergoing many transformative shifts leading to new major tools, trends, and technologies. Acknowledging stellar strides in data innovation over the last five years, as we look ahead to the future, what should we expect in 2025 and beyond? In this fireside chat, Matt Turck, publisher of the MAD Landscape, and Justin Borgman, CEO of Starburst Data, will delve into the major trends in the data and AI/ML infrastructure market in 2024. By dissecting recent developments, including summer 2024 innovations and market trends, Justin and Matt will discuss effective models for modern data strategies, the economics behind sustainable data infrastructure, and provide analysis on the future of what's to come in the data and AI/ML space.
Vrashank Jain
The industry has witnessed some tectonic changes over the last few years: on prem to cloud to multi-cloud, BI to AI to GenAI, and data warehouses to data lakes to data lakehouses, to name a few. This constant evolution coupled with the ever-increasing demands of the business makes platform thinking crucial in order to ensure a future-proof infrastructure. As companies race to advance their AI strategies, Dell has seen a gravitational pull towards a modern data architecture that can create high quality data to feed AI and generate high quality outcomes. Join this session to learn about how the Dell Data Lakehouse, powered by Starburst, is the modern paradigm for this new era. You’ll learn about the investments Dell is making in data, analytics, and AI, why Dell and Starburst partnered up on this solution, and how it enables a tremendously powerful yet open and flexible data architecture.
Rob Seidman
Adrian Estala
Brandy Love
Wayne Eckerson
Data sharing and access are essential for organizations to operate effectively and make informed decisions. This panel will delve into the critical challenges, opportunities, and best practices surrounding data sharing and access in today’s dynamic environment. The discussion will highlight the responsibilities of those managing data access for both internal teams and external stakeholders, emphasizing the importance of striking a balance between accessibility and security. Experts will share their unique perspectives on how they navigate this complex landscape, offering actionable insights on responsible data management, emerging trends, and the future of data accessibility. Join us to learn how to enhance your organization’s data sharing strategies while maintaining compliance and governance.
Adrian Estala
Field Chief Data Officer, Starburst
Alexander Jo
Senior Software Engineer, Starburst
Benn Stancil
Founder and Former CTO, Mode
Brandy Love
Director of Product, Docs, and UX, Starburst
Brian Kidwell
CEO and Co-founder, Going
Bryan Massie
Fellow and Data and Analytics Architect, Lockheed Martin
Carl Steinbach
Principal Product Manager, Starburst
David Phillips
Co-Creator of Trino and Chief Technology Officer, Starburst
Emma Tippet
Senior Outbound PM, Starburst
Eric Hwang
Co-creator Presto/Trino and Distinguished Engineer, Starburst
Ethel Anderson
EDM Council, WDP Co-Chair Americas
Ghada Richani
Managing Director of Data, Technology Strategy, and PMO, Bank of America
Jason Zerbe
Jess Macleod
Delivery Lead and Starburst SME, Kubrick
Jorge Torra
Full Stack Engineer Sr. and Systems Architect, Lockheed Martin
Justin Borgman
CEO and Co-founder, Starburst
Ken Pickering
VP of Engineering, Going
Lakshmi Mohan
Engineering Director of Data Platform, Slack
Laura Ellis
Vice President of Data and AI, Rapid7
Manfred Moser
Trino Developer Relations Lead, Starburst
Matt Fuller
Co-founder and VP Product, Starburst
Matt Turck
Managing Director, FirstMark
Michelle Yi
Board Member, Women In Data
Ricardo Cardante
Sr. Data Engineer and Technical Architect, Talkdesk
Rob Seidman
Director of Cloud Innovations, SS&C Technologies
Sanjeev Mohan
Principal, SanjMo and Former Gartner Research VP, Data & Analytics
Shelly Kramer
Managing Director and Principal Analyst, theCube Research
Sherin Thomas
Senior Staff Software Engineer, Slack
Teresa Reilly
Former VP of Global Data Governance, PepsiCo.
Tobias Ternstrom
Chief Product Officer, Starburst
Tobias Macey
Assoc. Director Platform and DevOps, MIT Open Learning
Vrashank Jain
Product Manager, Dell
Wayne Eckerson
President, Eckerson Group
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