That's a wrap! Thank you to all those who attended, spoke at, and sponsored Data Stack Summit 2022. All of the virtual sessions are available on-demand below! If you'd like to speak, sponsor, or attend Data Stack Summit 2023, submit your talk here or send a note to astronaut@solutionmonday.com.

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Conquering

the modern

data stack

6.22.2022

2022 Data Stack Summit Speakers

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Mark Kidwell

Chief Data Architect

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Bob Muglia

Former CEO

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Ash Munshi

Chairman of the Board

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Vikas Ranjan

Senior Leader, Data Intelligence & Innovation

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Emilie Schario

Data Strategist-in-Residence

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Zarreen Naowal Reza

AI Research Scientist

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Jessica Larson

Data Engineer

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Nikhil Simha

Staff Software Engineer

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Gokul Prabagaren

Master Software Engineer

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Esaú Reyes

Sr. Data Engineer

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Arun Maniyan

Senior Solution Architect

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Sanjeev Mohan

Principal

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Sunny Zhu

Director of Data & Analytics

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Tim Meehan

Software Engineer

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Girish Baliga

Senior Engineering Manager

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Ali LeClerc

Community Outreach Committee Chair

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Mike Mooney

Co-Founder

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Chad Sanderson

Head of Data

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Dave Kellogg

Angel Investor & Advisor

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Jeffrey Tseng

Head of Autonomous Vehicles & AI Infrastructure

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Brian Lu

Director of Product

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Claus Moldt

Former CIO

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Chaitanya Patel

Software Engineer

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Manu Bansal

Co-Founder & CEO

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Shekhar Gupta

Software Engineer

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Andrew Machen

Senior Manager of IT Analytics

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Andrew Gelinas

Co-Founder

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Margie Roginski

Head of Product

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Vivek Joshi

Co-Founder

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2022 Data Stack Summit Peer Sessions On-Demand

Opening remarks

Andrew Gelinas, Co-Founder @ Solution Monday

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.

Morning Keynote: Data is nothing if not reliable

Manu Bansal, Co-Founder & CEO @ Lightup

Data is now starting to be on the critical path for the business. Broken data means broken customer experience. And that means broken data is not acceptable. Yet, even the most advanced, most data-reliant Fortune 500 organizations are frequently ending up with bad data directly hurting the business.
In this talk, we discuss real, hard-hitting scenarios where bad data comes back to bite customer experience. We then dig into the reasons why data reliability doesn't automatically follow infrastructure reliability. And finally, we discuss the evolution of the data landscape that led us to such a challenging problem and how the problem can be solved with Lightup using the abstraction of Data Quality Indicators (DQIs).
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

Data governance is a complex challenge, especially as organizations scale. One of the most important aspects of data governance is the people behind it. Building trust in your business partners helps tackle some of the hardest parts of data governance such as:
  • 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
We will talk about our experience, tactics, and strategy in building cross-department relationships across security, legal, operations, analytics (and more!) and using them to create an effective data governance program.
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 data stack sharing considerations she and her team have made for areas of optimization and pre-defined desired outcomes. In her session, she'll explore practices for scaling automation, monitoring, and maximizing performance. Sunny will also share a communication strategy for end data consumers.

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.

Data warehouse or data lake, which do I choose?

Ali LeClerc, Head of Community @ Ahana

Today’s data-driven companies have a choice to make – where do we store our data? As the move to the cloud continues to be a driving factor, the choice becomes either the data warehouse (Snowflake et al) or the data lake (AWS S3 et al). There are pros and cons to each approach. While the data warehouse will give you strong data management with analytics, they don’t do well with semi-structured and unstructured data with tightly coupled storage and compute, not to mention expensive vendor lock-in. On the other hand, data lakes allow you to store all kinds of data and are extremely affordable, but they’re only meant for storage and by themselves provide no direct value to an organization.

Enter the Open Data Lakehouse, the next evolution of the data stack that gives you the openness and flexibility of the data lake with the key aspects of the data warehouse like management and transaction support.

In this talk, you’ll hear from Ali LeClerc who will discuss the data landscape and why many companies are moving to an open data lakehouse. Ali will share more perspective on how you should think about what fits best based on your use case and workloads, and how real-world teams are using Presto, a SQL query engine, to bring analytics to the data lakehouse.

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.

End-to-end orchestration of machine learning models from POC to deployment

Zarreen Naowal Reza, AI Research Scientist @ Volta

Zarreen will share how she and her team have learned to overcome these challenges by adopting MLOps orchestration pipelines from the beginning and show attendees how an entire end-to-end ML orchestration pipeline can be built with minimal effort using existing open-source frameworks.

Modern strategies for data cost optimization

Chaitanya Patel, Software Engineer @ Pepperdata

Shekhar Gupta, Software Engineer @ Pepperdata

Join Pepperdata engineers Shekhar Gupta and Chai Patel for a discussion on reducing your overall cloud spend. Learn how to achieve automatic cost savings through real-world examples and best practices.

Lessons learned from solving data quality at-scale for Fortune 500 enterprises

Manu Bansal, Co-Founder & CEO @ Lightup

Vivek Joshi, Co-Founder & CEO @ Lightup

Margie Roginski, Head of Product @ Lightup

When we started Lightup 3 years ago, we had our own ideas on what we thought is required to solve data quality. Along the way, we have learned a lot in the field about the current state of data quality and bottlenecks that need to be solved. For instance, we never imagined data quality set up to be the biggest hurdle for our customers. As it turns out, friction in the end-to-end implementation of data quality checks is the number one reason why data quality initiatives fail. In this introspective session, we discuss such learnings that have significantly shaped our product to meet the needs of our enterprise customers.

Migrating to the Modern Data Stack

Joel Stewart, VP of Customer Success @ Pepperdata

A modern platform helps you deliver actionable insights to your organization — insights that were previously unavailable or weren’t delivered in a timely manner. These insights help you to overcome cost and resource inefficiencies by reducing data complexity and enabling powerful self-service capabilities.

Moving to a modern platform can also provide observability and autonomous optimization, and helps your organization move from reactive to proactive.

Join Joel Stewart, VP of Customer Success at Pepperdata for this session as he uses real-world use cases and learn the following:

  • Key success factors to ensure a successful migration
  • The key players in data stack modernization
  • Thinking beyond traditional needs to consider architecture trends like self-service analytics that empower line-of-business professionals to perform queries and generate reports on their own
  • Automation, optimization, new techniques, and tools
Where & when?

Data Stack Summit 2022 was held virtually on June 22nd, 2022. Stay tuned for announcements about future sessions!

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 enterprise 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 enterprise data operations, migrations, data observability, and tuning data pipelines for performance at scale.

Who's coming to Data Stack Summit?

Data and cloud architects, data engineers, DevOps practitioners and managers, data and ITOps leaders

Join us for talks around:
  • Building blocks of the modern data platform
  • Building the modern data platform using open source
  • Implementing the modern data platform using Kubernetes
  • Modern best practices for enterprise operations
  • Platform observability
  • Migrations to modern data platforms
  • Optimizing high-performance big data for future-forward enterprises
  • Enterprise Spark deployments
Interested in speaking or sponsoring the next Data Stack Summit?

Please reach out to astronaut@solutionmonday.com.

Don't miss out on the next Data Stack Summit! Sign up below for access to future sessions.

A big thank you to our 2022 Data Stack Summit Sponsors for making the event possible