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Starburst Datanova 2021: Day Two Recap



That’s a wrap! Day two and Datanova 2021 have officially come to a close. But if you missed out on our second day of fun and learning, fear not for soon we'll be sharing a bunch of great content from the conference. This may have been our first industry conference, but it certainly won’t be our last. If you missed day one, here’s a quick recap. Like day one, day two was full of great speakers and sessions focused around the latest data trends, emerging technologies, customer stories, and more.

Thank you to all who attended and participated in day two! 

Let’s recap our sessions from day two:
The State of Data and What’s Next

In this session sponsored by Red Hat, John Santaferraro, Research Director at Enterprise Management Associates (EMA) and Michael St-Jean, Principal Marketing Manager at Red Hat unveiled the results from custom research conducted by Starburst in collaboration with Red Hat and EMA. We learned about the current state of data and uncovered emerging trends from data storage trends and the impact of the current pandemic to the most important analytical capabilities. Data and analytics leaders walked away with valuable insights to get ahead on their data strategies.

Stream it on demand here.

New Starburst Product Announcement and Demonstration

In this talk, Matt Fuller, Co-Founder of Starburst announced our latest product: Starburst Galaxy, a cloud-native service which provides fast and secure access to all of the data within your organization. Galaxy makes it possible to perform analytics anywhere, without painful data movement and data duplication. Whether you need to analyze data in a data lake, data warehouse, or both, Galaxy has you covered. You can learn more about Galaxy and sign up for beta here.

Stream it on demand here.

Confessions of a Cloud Migration

Cloud migration goes beyond “lift and shift” from on-prem to cloud. Organizations move for a variety of reasons including agility, elasticity, reliability, availability, and accessibility. It involves thoughtful planning and careful execution. In this Blue.cloud sponsored session, moderated by Marisa Miosi, Director at Blue.cloud, Ivan Black, Director at FINRA and Michelle Uffored, CEO and co-founder of Noteable.io shared their cloud migration journeys, lessons learned, and tips and tricks to avoid challenges. At the end of panel discussion, a live poll was taken and viewers voted for scalability as the main draw towards migrating to the cloud.

Stream it on demand here.

Keynote: Trino, SQL, and Accelerating Data Science

Leading data scientist Paco Nathan moderated a keynote panel with Dain Sundstrom, David Phillips, and Martin Traverso, the co-creators of the open source project, Trino (formerly known as PrestoSQL). They dove into the importance of having a “single point of access” irrespective of where the data resides and shared how Trino is helping data science and data engineering teams analyze vast amounts of data from a variety of data sources and formats. It was truly inspiring, especially for those with an attachment to the open source community (like us!)

Stream it on demand here.

Data Literacy Imperative with Kirk Borne Ph.D.

There’s a reason why Kirk Borne is an internationally recognized data influencer, he’s a captivating speaker and thought leader with profound ideas on what we’re doing and where we’re going. We are all surrounded by – and creating – masses of data every single day. Every single day, everyone around the world is using data. So, now we need to bring this value to our businesses. It is imperative that data leaders, scientists, and analysts champion data literacy inside their organizations, and that what Kirk’s mission statement is, and we were incredibly lucky to have him share that with us.

Stream it on demand here.

Simon Data: Critical Customization

There is so much to consider when choosing the right vendor for a technology to add to your architecture. One aspect that commonly gets lost in the mix is customizability. In today’s service-oriented world, many companies simply don’t offer granular control over how a system functions and this can paralyze projects. In this technical session we heard from Joel Edwards, Senior Systems Engineer at Simon Data explain how they were able to overcome these issues after switching to Starburst Enterprise. Having more granular control over the system using resource groups and custom auth/event plugins provides them the responsive user experience they need while meeting their security policies.

Stream it on demand here.

Data Pandemic: Responding to Crisis & Data Deficits (Day Two)

The second installment of our Data Pandemic panel, moderated by Tony Baer, founder of dbInsight, shared more stories of innovation during the start of Covid-19. This time we heard from the Chief Technology Officer of Tableau Andrew Beers and CEO of Promethium, Kaycee Lai who shared customer stories and insights, all relating to how they reacted to the pandemic, the outcomes, and how they continue to navigate the new, hyper digital world.

Stream it on demand here.

Data Governance Overview: Rakuten Global Data Analytics Platform

Governance has always been a core component of data management. But now it’s more important than ever with the rise of regulatory compliance requirements and the complexities presented by disparate data sources. In this session, Sandipan Chakraborty, Director of Engineering at Rakuten, highlighted the evolution of the global data platform at Rakuten, talked about their governance strategy built on their SuperDB platform, and shared how they ensure the right level of access to critical data while ensuring compliance.

Stream it on demand here.

Data Mesh Architecture

Last but certainly not least, we got our two-part installment of Data Mesh Architecture from the woman who coined the term ‘Data Mesh,’ Zhamak Dehghani. So what is data mesh? Many enterprises are investing in their next-generation data lake, with the hope of democratizing data at scale to provide business insights and ultimately make automated intelligent decisions. Data platforms based on the data lake architecture have common failure modes that lead to unfulfilled promises at scale. To address these failure modes, we need to shift from the centralized paradigm of a lake, or its predecessor data warehouse. We need to move to a paradigm that draws from modern distributed architecture considering domains as the first-class concern, applying platform thinking to create self-serve data infrastructure, and treating data as a product.

Stream it on demand here: Part I & Part II

That’s a Wrap!

Thank you to all who tuned in to Datanova 2021! A special thank you to all our speakers and sponsors, we couldn’t have pulled it off without you. Stay tuned for tons more content coming your way!

Thank you sponsors - Social Card.pptx


Latifah Obaid

Content Marketing Specialist

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By | on 09, Feb 2021 |   recap Datanova

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