Thinking
beyond the
data stack
4.19.2023
Announcing the first round of Data Stack Summit 2023 speakers
Jennifer Romero-Higgins
Principal Data Architect
Rajkumar Joghee Bhojan
Automation Lead
Vikas Ranjan
Senior Leader, Data Intelligence & Innovation
Mark Kidwell
Chief Data Architect
Bill Inmon
Founder, Chairman, CEO and Author
Sandeep Mehta
Engineering Lead, Data Platforms
Vittal Navale
Head of Analytics
Monica Kay Royal
Founder & Chief Data Enthusiast
Dr. Alexander Mikhalev
Director
Manimuthu Aayyannan
Senior Manager II, Feature Engineering
Subramanya Mulgund
Sr. Software Engineer, Feature Engineering
Sunny Zhu
ESG Data Analytics & Operations
Sangeeta Krishnan
Sr. Analytics Lead
Mike Fuller
CTO
Matthew Norton
Product Owner
Joel Hernandez
CTO
Carlos Rodríguez
Data and Analytics Manager
Carlos Costa
Data & Analytics Hub Lead & Engineering Director
Joseph Machado
Senior Data Engineer
Check out some of the peer sessions from Data Stack Summit 2022
Keynote panel discussion: The building blocks of a modern data platform
Sanjeev Mohan, Data Industry Thought Leader & Principal @ SanjMo
Ash Munshi, Chairman of the Board @ Pepperdata
Claus Moldt, Former CIO @ FICO
The modern data platform is a collection of tools and capabilities that, when brought together, allow organizations to achieve the gold standard — a fundamentally data-driven organization. Join us for this panel of thought leaders for an overview of the technology, data leaders are using today, the strengths and weaknesses, and the implementation challenges in cloud and on-premises.
From data silos to DataOps: our journey to efficiency so far
Andrew Machen, Senior Manager of IT Analytics @ American Airlines
Take a journey with Andrew Machen, Senior Manager of IT Analytics at American Airlines, as he discusses his team's journey from data silos to DataOps. He'll cover things they've done well, like talking to companies ahead of them on the curve, and things they could have done better, like knowing when to take a break from disruptors. Andrew will also share what's on the horizon for his team - leveraging self-service, API tie-ins, and enabling better notifications.
Peer-to-peer conversation: Building a modern data architecture: Presto for the open data lakehouse
Ali LeClerk, Community Outreach Committee Chair @ Presto
Tim Meehan, Software Engineer @ Meta
Girish Baliga, Senior Engineering Manager @ Uber
Today’s digital-native companies need a modern data infra that can handle data wrangling and data-driven analytics for the ever-increasing amount of data needed to drive business. Specifically, they need to address challenges like complexity, cost, and lock-in. An Open Data Lakehouse approach enables flexibility and better cost performance by leveraging open technologies and formats.
Presto is the open source SQL query engine for the Data Lakehouse, providing ad hoc and interactive queries on large amounts of data.
Join us for this fireside chat where Girish and Tim will share how Uber and Meta are leveraging Presto at scale to underpin their modern data infrastructures and why you should be using open source technologies like Presto for your Open Data Lakehouse architecture.
Trends shaping the next decade in data
Dave Kellogg, Angel Investor & Advisor @ Alation
The latest concepts in the world of data seem to arrive as quickly as the actual data we accumulate and consume — and can be just as hard to sift through, understand, and manage.
The modern data stack (MDS), data fabric, and data mesh are top of (data) mind, and this webinar will tell the tale of this trendy trio within a larger story: decentralization. How do you retain control, security, and governance — and how do people find useful, trustworthy data and information — in a decentralized utopia?
Join Dave as he explores these topics.
Peer-to-peer panel: Migrations to modern data platforms
Moderator: Sanjeev Mohan, Principal @ SanjMo
Mark Kidwell, Chief Data Architect @ Autodesk
Nikhil Simha, Staff Software Engineer @ Airbnb
Jessica Larson, Data Engineer @ Pinterest
A modern platform helps you deliver actionable insights to your business - insights that were previously unavailable or weren’t delivered in a timely manner. It can also help you to realize cost and resource efficiencies by reducing data complexity and enabling powerful self-service capabilities. A modern platform can help you go beyond reporting what happened to predict what will happen - accelerating your analytics maturity to become more forward-looking and purpose-driven. Join this panel session of experts to discuss best practices for migration to a modern data platform.
Peer-to-peer panel: Optimizing high-performance data at scale for future-forward enterprises
Moderator: Mike Mooney, Co-Founder @ Solution Monday
Esaú Reyes, Sr. Data Engineer @ Arcus Financial
Gokul Prabagaren, Master Software Engineer @ Capital One
Vikas Ranjan, Senior Leader, Data Intelligence & Innovation @ T-Mobile
How do major organizations use data and analytics to inform strategic and operational decisions? Organizations have more data than ever at their disposal. But optimizing and deriving meaningful insights from that data - converting that knowledge into action - is easier said than done.
Join us for a panel discussion with leaders from major organizations discussing the challenges and opportunities involved in adopting advanced strategies.
Fireside chat: The future of the modern data stack: Incorporating AI and SQL
Bob Muglia, Former CEO @ Snowflake
Ash Munshi, Chairman of the Board @ Pepperdata
A modern platform delivers actionable insights to the organization - insights that were previously unavailable or weren’t delivered in a timely manner.
It can also help organizations and teams realize cost and resource efficiencies by reducing data complexity and enabling powerful self-service capabilities.
These modern data platforms go beyond reporting what happened to predict what will happen — accelerating your analytics maturity to become more forward-looking and purpose-driven. Ash and Bob will discuss best practices for migration to and beyond the modern data platform.
Extending the platform to include ML and MLOps
Chad Sanderson, Head of Data @ Convoy
Mark Kidwell, Chief Data Architect @ Autodesk
Join Chad and Mark for a 1:1 peer discussion on how to extend the platform and include best practices for accelerating and scaling the deployment and management of ML and MLOps.
Architecting teams and tools for data governance
Brian Lu, Director of Product @ Rudderstack
- Organizational trust in the data
- Consistency of data across different business functions
- Discoverability and curation of relevant information
- The engineering systems to support all of those components
The path to data and analytics modernization
Vikas Ranjan, Senior Leader, Data Intelligence & Innovation @ T-Mobile
Jeffrey Tseng, Head of Autonomous Vehicles & AI Infrastructure @ NVIDIA
To really take advantage of your data, you need a modern data and analytics ecosystem that is scalable, agile, and future-ready.
Most organizations aim to be one step ahead of the competition—able to make more informed decisions about their business as well as their customers—so that they not only succeed but thrive in an everchanging business landscape. However, although many organizations have the data to do so, they often lack the technology, processes, and people to fully optimize their worth.
Join Vikas Ranjan, Data Analytics and AI Leader as he discusses the business demands and industry shifts that impact the need to modernize, as well as the benefits of and the approach to data and analytics modernization.
Optimizing data stack performance at Maisonette
Sunny Zhu, Director of Data & Analytics @ Maisonette
Sit down with Sunny as she walks through Maisonette's purpose-built
Jobs to be done by modern data teams
Emilie Schario, Data Scientist-in-Residence @ Amplify Partners
In a previous time, BI was the only interface to data and the data warehouse. Today, that's no longer true. It's allowing data teams to be more impactful to organizations than ever before. In this session, Emilie talks about the five workflows data teams are tackling and the new technology that is enabling them, as well as what this means for "self-serve analytics" in a new metric-first world.
Building blocks of modern data architecture
Arun Maniyan, Senior Solution Architect @ AWS
The demand for data and data-driven decision-making has picked up its pace as predicted by many. The ecosystem to generate, capture and harness the value of the data for this decision-making is also maturing at a rapid pace. Organizations are reimagining and modernizing their data landscape to meet the growing demands from different user personas. Adding to this, the variety, volume, and complexity of these data are constantly changing, making the experience of consumers say – “challenging” more frequently.
In this session, we will talk about how modern data architectures are helping organizations democratize their data. What are the driving factors that data organizations should consider when it comes to adopting or modernizing their current technology stacks? We will talk about how an eco-system of BI, data lake, purpose-built data stores, and centralized governance can help organizations navigate through the complexity of deriving insights from data.
Where & when?
Data Stack Summit 2023 was held virtually on April 19, 2023.
What is the cost to attend the virtual sessions?
Data Stack Summit is always free and open for all to attend
What is Data Stack Summit?
Finding ways to efficiently conquer the modern data stack can become infinitely more possible when we’re able to gather together collaboratively as a community and discuss the tools and capabilities desired by future-forward organizations.
Hear real-world perspectives from long-time data visionaries, data engineers, data and cloud architects, DataOps and DevOps practitioners as they talk through topics like the building blocks of the modern data platform, open source considerations, best practices for impactful data operations, migrations, data observability, and tuning data pipelines for performance at scale.
Who comes to Data Stack Summit?
Data and cloud architects, data engineers, DevOps practitioners and managers, data and ITOps leaders
Join us for talks around things like:
- Building blocks of the modern data platform
- Implementing the modern data platform using open source
- Deploying the modern data platform using K8s
- Best practices for data team operations
- Migrations to modern data platforms
- Optimizing high-performance big data for future-forward organizations
Interested in speaking or sponsoring the next Data Stack Summit?
Please reach out to astronaut@solutionmonday.com.
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Thank you to our sponsors who've helped make Data Stack Summit possible
