Join Open||Source||Data executive producer Audra Montenegro as she and Sam discuss his learnings and takeaways from this season and what the future of open source data looks like.

This episode features an interview with Sophie Watson, Technical Product Marketing Manager at NVIDIA. Previously, Sophie served as a software engineer and principal data scientist at RedHat where she used machine learning to solve business problems in the hybrid cloud. Sophie has a PhD in Bayesian statistics and frequently speaks about machine learning workflows on Kubernetes, recommendation engines, and machine learning for search.&nbsp;
In this episode, Sam and Sophie discuss Principal Component Analysis, computational acceleration, and MLOps.&nbsp;

This episode features an interview with Bob van Luijt, CEO and Co-Founder of SeMI Technologies and co-creator of Weaviate, an open source vector search engine.&nbsp;
At just 15 years of age, Bob started his own software company in the Netherlands. He went on to study music at ArtEZ University of the Arts and Berklee College of Music, and completed the Harvard Business School Program of Management Excellence. Bob is also a TedX speaker, discussing the relationship between software and language.
In this episode, Sam sits down with Bob to break down vector search, the AI-first ecosystem, and how music and software relate to one another.

This episode features an interview with Larry Augustin, angel investor and advisor to early-stage technology companies. Larry previously served as the Vice President for Applications at AWS, where he was responsible for application services like Pinpoint, Chime, and WorkSpaces.
Before joining AWS, Larry was the CEO of SugarCRM, an open source CRM vendor. He also was the founder and CEO of VA Linux, where he launched SourceForge. Among the group who coined the term &ldquo;open source&rdquo;, Larry has sat on the boards of several open source and Linux organizations.
In this episode, Sam and Larry discuss who owns the rights to data, the data in to data out ratio, and why Larry is an open source titan.

This episode features an interview with Neha Pawar, a Founding Engineer at StarTree. StarTree is a software development company that focuses on democratizing data for all users by providing real-time, user-facing analytics.
Prior to her time at StarTree, Neha was a Senior Software Engineer on LinkedIn&rsquo;s Data Analytics team where she spent five years working on Apache Pinot. Neha has provided countless contributions to Pinot over the years, focusing on real-time streaming integrations, ingestion, and storage.&nbsp;
In this episode, Sam sits down with Neha to discuss Apache Pinot&rsquo;s impact on the data community and how LinkedIn popularized real-time analytics.

This episode features an interview with DeVaris Brown, CEO and Co-Founder of Meroxa. Meroxa was founded in 2020 and enables teams of any size and any expertise to build real-time data pipelines in minutes.
Previously, DeVaris was a product leader at Twitter, Heroku, and Zendesk. Sam and DeVaris even crossed paths at Microsoft in the aughts.
In this episode, Sam and DeVaris discuss enabling developers, real-time data, and providing the ultimate user experience.

This episode features an interview with Erica Brescia, Managing Director of Redpoint Ventures. At Redpoint, Erica focuses her investing on infrastructure, DevOps, and security.
Erica has over 15 years of experience in the open source community and currently serves on the board of directors of the Linux Foundation. Prior to joining Redpoint, Erica was also an angel investor and advisor to companies such as Netlify, Coda, and Xata.
In this episode, Sam and Erica discuss the evolution of open source data, what&rsquo;s changed for practitioners, and why you should always listen to your gut.

This episode features an interview with David Danks, Professor of Data Science and Philosophy and affiliate faculty in Computer Science and Engineering at University of California, San Diego. Prior to UCSD, David was the L.L. Thurstone Professor of Philosophy and Psychology at Carnegie Mellon University.&nbsp;
David&rsquo;s research interests are at the intersection of philosophy, cognitive science, and machine learning. He has also examined the ethics surrounding artificial intelligence in the fields of healthcare, privacy, and security.&nbsp;
In this episode, David and Sam dive into responsible data science, deep fakes, and if data is to blame for the lack of trust among consumers.

This episode features an interview with Monica Kumar, Senior Vice President of Marketing and Cloud-Go-To Market at Nutanix. Nutanix is a data platform that is redefining workloads in cloud environments. Prior to Nutanix, Monica spent two decades at Oracle where she launched several market solutions.&nbsp;
Monica is passionate about positioning and supporting women in leadership roles. She is a founding limited partner of Neythri Futures Fund, a venture fund dedicated to bringing South Asian women into the investment community. Monica also serves on the board of Directors at Watermark, an organization dedicated to women in leadership.&nbsp;
In this episode, Monica and Sam discuss the evolving world of marketing analytics, tech&rsquo;s biggest innovation to date, and how the data industry can change for the better.

This episode features an interview with Tomer Shiran, Founder and Chief Product Officer at Dremio. Dremio is a high-performance SQL lakehouse platform that helps companies get more from their data in the fastest way possible. Prior to Dremio, Tomer served as VP of Product at MapR and also held product management and engineering roles at Microsoft and IBM Research. He also has a master&rsquo;s degree from Carnegie Mellon University as well as a bachelor&rsquo;s from Technion - Israel Institute of Technology.
In this episode, Tomer and Sam dive into the economics of storing data, how to build an open architecture, and what exactly a data lakehouse is.

This episode features an interview with Prukalpa Sankar, Co-Founder of Atlan. Atlan is a venture-backed startup building a modern data workspace. Prukalpa also co-founded SocialCops, a data for good company behind landmark projects such as India&rsquo;s National Data Platform. Prukalpa is a recognized industry leader, landing on the Forbes 30 Under 30 list and Fortune&rsquo;s 40 Under 40.In this episode, Prukalpa and Sam discuss how diversity is a data team&rsquo;s biggest strength, why governance isn&rsquo;t always a bad thing, and what they hope the modern data stack will look like in 5 years.

This episode features an interview with Joseph Jacks, Founder and General Partner of OSS Capital. OSS Capital is the first and only COSS (Commercial Open Source Software) company investor that focuses on supporting early-stage COSS founders. Joseph, also known as JJ, has worked at Mesosphere, TIBCO Software, and Talend in various sales, engineering, and strategy roles.
In this episode, JJ and Sam weigh the trade-offs of open and closed core companies and discuss how each can go public. JJ also dives into the misconception of trust equating privacy within tech.

<div>This episode features an interview with Martin Traverso, CTO at Starburst Data and Co-founder of Trino, a lightning fast distributed SQL query engine. Martin was previously a software engineer at Facebook where he led the Presto (now Trino) development team. Trino has gained worldwide adoption from companies like Netflix, Amazon, and LinkedIn.&nbsp;</div>
In this episode, Martin sits down with Sam to discuss the barriers, advantages, and complications of going open-source.

Join Open||Source||Data producer Audra Montenegro as she and Sam cover highlights and takeaways from the ten episodes of season two. And get a sneak peak of what's in store for season three!

Join CEO of Featureform, Simba Khadder as he talks with Sam about how versioning, immutability, and sharing will accelerate ML workflows. Tune-in on state of the art collaboration in data teams, and the power of focusing on your north star.

How can we make data 10X more accessible for data-driven people within data-driven companies? Tune in to Mark and Sam discussing probabilistic product management, and the emerging metadata ecosystem.

How can we evolve an expanding ecosystem of data technologies while making sense of the whole? Tune in to LinkedIn DataHub, and Acryl Data founder,&nbsp;Shirshanka Das, as he and Sam have a discussion on metadata at the center and specialization at the edge to sustainably scale data governance.

Data discovery is one of the hardest problems to solve in data management in general and comes up as a major pain point in most data mesh discussions. Tune in to this all-star expert panel recorded in collaboration with the Data Mesh community, and hosted by a previous Open||Source||Data podcast guest, Paco Nathan of&nbsp;<a href="http://derwen.ai/">Derwen.ai</a>. Paco engages panelists, Shinji Kim (Select Star), Sophie Watson (Red Hat), Mark Grover (Stemma), and Shirshanka Das (Acryl Data) in a 60-minute discussion on not only Data Mesh, but other data strategies and process needs for the data discovery future.

DATA MESH LEARNING panel hosted by Paco Nathan | Derwen, Inc.

It’s 2 AM - do you know what your models are doing? Listen to Elena Samuylova as she talks with Sam&nbsp;about how to bridge the critical gaps between data scientists, engineers, and business managers using tooling and empathy.&nbsp;Learn how to design for ​ diverse expectations, and more!

What's the future of open source and distributed systems? Google Fellow &amp; VP of Infrastructure Eric Brewer, Observable CEO Melody Meckfessel, and DataStax Chief Strategy Officer Sam Ramji explore the state of the art, the near future, and grand challenges for the next decade in cloud-native data.

​​​​​​Dealing with data hyperabundance, solving economic problems for businesses and changing lives for the better. Tune-in to Managing Director at Zetta Venture Partners, Jocelyn Goldfein as she and Sam have a discussion around engineering leadership, organizational graph structures, and productization of AI.

What if you could version object storage just like code? Tune in to Einat Orr as she explains how CI/CD and data lineage are being transformed through versioning data, enabling sandboxes, safe rollbacks, and coherent history.

Learn how an accelerating abundance of data can be harnessed through telemetry. Tune-in while Shinji Kim and Sam explore opening data to more users, PageRank for tables, and pragmatic use of data lineage to find value.

Barr Moses discusses with Sam about bringing DevOps into Data Engineering, building a data startup, and letting joy guide your way to creating impact. Learn how being data-driven depends on systems of people and trust.

Wrapping up Season 1, Open||Source||Data producer Audra Montenegro Carter joins Sam Ramji in a conversation about the inspiration and behind-the-scenes production of the podcast, touching upon the top takeaways and lessons learned with Season 1 guests from AWS, Microsoft, Deloitte, Observable, and much more.

Join Data Institute's Managing Director, Jesse Anderson to learn how data teams are changing in response to the overwhelming demand for data products. Tune in as he and Sam discuss bringing software engineering into the domain of data - and why he wrote&nbsp;<a href="https://www.datateams.io/">Data Teams</a>.

Join Dave and Sam as they discuss data sets evolving from finite to infinite, and finding the needle in the haystack with math. Listen to Dave talk about cutting edge data problems and the essential need for curious people.

Data Science player and coach, Author, and Venture Amplifier Paco Nathan talks with Sam Ramji about Hybrid AI, mathematical reversibility, and using AI to solve knowledge problems that the exponential growth of data will create for years to come. Join these two as they discuss how you can bring multiple data disciplines together using empathy and math.

Analytics manager, and Women in Data podcast producer and host Karen JEAN-FRANCOIS walks us through the differences between Data Science and Analytics. Join her and Sam as they discuss valuable skills you’ll need when transitioning to a career in Data Analytics. Hear Karen’s perspective on the benefits of thinking differently and having a mentor to guide you through transitions.

Stanford Professor and Co-Founder /&nbsp;Director of WiDS, Margot Gerritsen joins Sam Ramji in a conversation about how a data community provides global connectivity, and how learning is all about seeking discomfort with uncertainty and ambiguity. Learn how data is the new gold, but rather than sitting on the mine - share the wealth through a career in Data Science.

&nbsp;·&nbsp; <a href="https://www.widsconference.org/" style="font-size:1em;text-decoration:underline;">Register for the next WiDS</a> Worldwide Initiative, happening March 8. 
&nbsp;·&nbsp; Email Margot with any questions at <a href="https://www.datastax.com/mailto:margot.gerritsen@stanford.edu" style="font-size:1em;text-decoration:underline;">margot.gerritsen@stanford.edu</a>
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With data comes DBAs and with Kubernetes comes SREs. Listen in as Patrick McFadin and Sam discuss what’s in store in 2021 for Data on Kubernetes, how experienced DBA roles can evolve into very effective SREs, and why today is THE day to learn Kubernetes.

From a 10-page white paper to creating one of the first University OSPOs - Stephen Jacobs will take us through the 12 years of work it took him to launch a program like Open@RIT. Join Stephen and Sam as they discuss the impact an OSPO&nbsp;has on students' futures, as well as a University's surrounding communities.

Beyond The Data Lake&nbsp;was Director of Emerging Technologies at ThoughtWorks,&nbsp;Zhamak Dehghani's 2017 paper that was a guiding light for Sam Ramji at another point in his career. Listen to how a Data Mesh allows the composition of multi-model data across an organization and beyond.

How do we create free and open data sets that are trustworthy? Microsoft Azure’s Principal Program Manager Lachlan Evenson and Sam Ramji discuss standards for accessing data, and the magic that can happen with data on Kubernetes.

Inspire, collaborate, and solve together. Principal Engineer,&nbsp;Kelsey Hightower joins Sam Ramji to discuss the future of Data and Kubernetes, and what it means to participate in a welcoming developer community, while igniting positive growth.

Sam invites Rachel Chalmers, an investor, advisor, and technology industry analyst for over 20 years, for a candid conversation about the DevOps culture of shared purpose and blamelessness. Sam and Rachel explore how process, trust, and care for each other creates more innovation and gives us the opportunity to change and grow as human beings.

<a href="https://www.alchemistaccelerator.com/podcasts" style="color:#055992;" target="_blank">AXII Podcast</a>

Matt Asay shares his journey through open source and behind-the-scenes stories on what gives these communities their strength: its people and their voices.

Behind every great product is a great story. Sam invites Google Staff Technical Writer Patricia Boswell to discuss her role of technical writing in software and the importance of using narrative as a North Star when designing a product.

What can we learn from cloud-native development and how can we share that with developers, engineers, product owners, and product managers of the new world? Join DataStax Chief Strategy Officer and 25-year open source veteran, Sam Ramji, as he interviews open source innovators who are shaping the future of open source data, open source software, data on Kubernetes, data in DevOps, data in AI, and much more.

A podcast Series With Sam Ramji

New episodes bi-weekly. Get alerted!

Available Episodes

Season 3 Compressed Edition with Sam and Audra

Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

Vector Search, the AI Stack and more with Bob van Luijt

Open Source Innovation, The GPL for Data, and The Data In to Data Out Ratio with Larry Augustin

Guests Bios

Sophie Watson

Bob Van Luijit

Larry Augustin

DeVaris Brown

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