One more successful Datanova for the books! A first-of-its-kind technology partner showcase, this Datanova was packed with valuable insights for data enthusiasts. Data leaders from Accenture, Atlan, AWS, Genus, Google Cloud, Immuta, Slalom, Starburst, and Tableau shared everything you’d ever need — operating models, tech stack, lessons learned, practical use cases, and strategy — to build a thriving Data Mesh ecosystem.
AWS’ Anthony Prasad tells us, “AWS and GCP don’t share the same stage,” but this clearly was an exception which saw both the major clouds sharing their Data Mesh stories of designing a Lake House Architecture and a Unified Data Ecosystem, respectively. Data Mesh was the common theme for the half-day virtual summit that explored the people, process, and technology aspect of taking Data Mesh from theory to practice.
This educational odyssey was orchestrated by Scott Taylor, also called the Data Whisperer, with utmost finesse and the much needed humor. If you thought data could not be fun, wait till you meet Scott 🙂 Read on for session summaries and on-demand recordings from the event and don’t forget to register for the big Datanova, our signature event, coming up in February 2023.
Operationalizing the Mesh from POC to Production: An Accenture Session
“Getting started really requires getting the right roles: roles that encompass how technology and business work together.” In this session, Teresa Tung, Cloud First Chief Technologist at Accenture, outlines the Data Mesh Operating Model. Once organizations make the decision to adopt a Data Mesh architecture, the challenge lies in securing executive buy-in. Teresa shares tips on how this technology-led effort can achieve buy-in by having “businesses act as product owners” and using highly-visible data products.
Stream the full on-demand session here or watch the YouTube recording here.
Managing the Data Product Lifecycle: A Genus + Starburst Session
Starburst enables organizations like Genus to unlock the value of distributed and complex data by providing a single point of secure data access. By treating data as a product, organizations manage data in a way that maximizes its value and leads to faster & better decisions.
In this session, Alison Huselid, SVP of Product and Vishal Singh, Head of Data Products at Starburst, talk about turning distributed data into consumable data products in a manner such that data consumers can effortlessly explore, discover, analyze, and share data across organizations.
Patrice Linel, Sr Manager of Data Science & Data Engineering at Genus, concludes the session by sharing his experience and journey. “With Starburst, we can connect multiple data sources within our database,” says Patrice. “We’re already reaping the benefits of the data architecture that we’ve chosen but are continuously pushing on the data product side.”
Stream the full on-demand session here or watch the YouTube recording here.
Designing a Data Mesh using the Lake House Architecture: An AWS Session
Antony Prasad Therajav, Senior Partner Solutions Architect at AWS, kicks off his lightning talk with a statement we couldn’t agree more with: “I need to have access to all my data no matter where it lives.”
He builds up a convincing use case for the Lake House Architecture and explains how it can provide the perfect foundation for designing a Mesh. “In today’s world with the size of data that we are dealing with, we have to ensure that we build a system that is robust and scalable,” he says. The answer, according to him, is a Data Lake House Architecture is ideally suited to help teams build data domains, and bring those domains together to enable data sharing and federation across business units, leading to greater innovation and autonomy.
He also shares how customers can store domain-specific data in a data lake and use a ring of purpose-built data services around the lake, highlighting the JPMorgan Chase example. After adopting a Data Mesh, JPMorgan Chase enabled a central governance policy, easy sharing of data products, and visibility into the end to end pipeline.
Stream the full on-demand session here or watch the YouTube recording here.
Implementing Federated Computational Governance: An Immuta Session
One of the four main pillars of Data Mesh is federated computational governance, and a critical aspect of that is automated data access. In this session, Zachary Friedman, Director of Product at Immuta explains the implementation of automated data access in Data Mesh, showcasing how a data access platform when paired with data products can help organizations ensure that the right people are authorized to access the right data.
“The execution of ensuring secure use of data has to live partially with the teams that know the data the best,” he notes. “Immuta allows you to ensure that data is accessed securely in a manner that preserves user privacy.” Zachary also discusses the limitations of a command-and-control, fully-centralized governance model, and shows how a shared governance model can be applied to data security, programmatically.
Stream the full on-demand session here or watch the YouTube recording here.
The Metadata Foundation that Your Data Mesh Needs: An Atlan Session
“Metadata needs to be easily accessible and interoperable across the entire ecosystem,” says Prukalpa Sankar, Co-Founder at Atlan. She explains how modern metadata enables fundamental Data Mesh principles and what a purpose-built metadata platform for the Data Mesh should look like, including real-life examples of Data Mesh principles in action. A Fortune 50 financial company, for example, that was ingesting over 10,000 data feeds everyday with a complex domain specific governance setup was able to create a personalized experience for each domain with Atlan and Data Mesh.
As you think about metadata in your ecosystem, Prukalpa insists you to think about going from siloed to embedded metadata, generic to personalized experiences while making sure that your metadata is not in a closed system.
Stream the full on-demand session here or watch the YouTube recording here.
Unlock your Customer 360 Data with Tableau Analytics
Tableau enables organizations to have a 360 view of their customers with a Data Mesh design. In this lightning session, Chandrinka Shankarnaryan, VP of Product at Tableau, discusses how Tableau and a Data Mesh are critical to data and analytics initiatives and gives a brief demonstration of how Tableau integrates with Starburst data products in order to give a comprehensive view of your data.
“Centralize things that are close to the business and push everything else to the domains,” she notes, while sharing how Priceline was able to unlock new insights and deliver personalized recommendations to millions of travelers worldwide by leveraging Starburst and Tableau.
Stream the full on-demand session here or watch the YouTube recording here.
Google Cloud’s Unified Data Ecosystem with Data Mesh
“Data Mesh acknowledges that in a world with exploding data and increasing pressure to get value from the data, a centralized everything concept is not really easy to scale,” shares Firat Tekiner, Staff Product Manager in Data Analytics at Google Cloud. “Data-driven really means that data is easily and securely accessible. Everyone who has the right privileges within the organization should be able to access the right data.”
Firat discusses technical capabilities and architectural considerations required to make Data Mesh a reality along with sharing a Data Mesh blueprint and the “Google way of doing it!”
Stream the full on-demand session here or watch the YouTube recording here.
Making Data Mesh Real with Slalom: Managing People and Process Change
As you start your journey towards a Data Mesh ecosystem, putting the right people and processes in place is imperative to making your vision a reality. Building this modern culture of data requires you to embrace and champion a mindset of experimentation and innovation within both the technology and business teams. To realize the maximum benefit of an organizational transformation, you need to take the opportunity to reimagine existing tools, methods, and business processes.
In this session, Kris Karaikudi, Director, Global Data Strategy and Sharjeel Khalid, Senior Delivery Principal, Global Data Strategy at Slalom, emphasize the importance of a “shift in culture and processes” along with sharing key strategies you can leverage to realize your vision.
Stream the full on-demand session here or watch the YouTube recording here.
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