The transition to a modern data platform is crucial for many organizations — for their competitiveness and growth. Hear from Abhishek Nahar, Data Platform & Products Leader at Asurion and Starburst’s Adrian Estala, Field CDO about their personal viewpoints on what it means for them to from a legacy architecture to an agile data platform. Learning from their experience and other data professionals, it involves strategic decisions and a shift from a monolithic central engineering function to an agile, hybrid business-IT model. Data products also play a key role, empowering autonomous product teams to create and manage their solutions, all leveraging the same core platform. Looking ahead, the future holds immense potential, with advanced analytics, AI, and data partnerships driving further growth and transformation.

Since joining OS-Climate, Red Hat has been working with organizations to solve data & analytics challenges required to achieve Paris Climate Accord goals. A framework like data mesh could be helpful in accelerating some of what this environmental initiative is striving to achieve. Listen to Vincent Caldeira, Chief Technology Officer at Red Hat, APAC and Adrian Estala, VP, Field Chief Data Officer at Starburst discuss how vital it is to make climate data more available, enabling users with access and capabilities to solve important data climate problems.

When we talk about data transformation and user enablement, we almost always focus on the consumer. Rightfully so, that is where we should start, but it is not the only persona that we want to impact. Data leaders must also consider how transformation can impact the data producers and the data engineers. We need to design an integrated data supply chain with material efficiency gains for each persona. Join Nachiket Mehta, Head of Data and Analytics Engineering, Supply Chain at Wayfair and Adrian Estala, VP, Field Chief Data Officer at Starburst as they dissect the three lenses of enablement: data producers, data engineers, and data consumers.

Today, it’s not enough to have a vision of what an organization’s future technology stack would look like. As we design and build that technology stack, we need to make sure that we are focused on adoption and user enablement. Sure, we want to know what is happening on the back end, but enablement is a key piece in deriving business value from data. Moreover, data analytics is now something that can only be done by everyone, not just data scientists. There will always be new and more data — it’s vital that everyone in the business is enabled with self-service analytics. In this episode of #DataMeshTV, Brett Thebault, Co-Founder at Aginic and Adrian Estala, VP, Field Chief Data Officer at Starburst, build the case for why enabling teams will help them discover critical data-driven business insights.

In the latest Data and Analytics Leadership Annual Executive Survey, investments in data are growing with data modernization identified as the top data and analytics investment for 2023. USEReady Co-Founder and CEO Uday Hegde and Starburst’s VP, Field CDO Adrian Estala discuss what executing on a transformation and data modernization strategy entails — migration, optimization, modernization —and how these key activities can deliver business value faster.

Questions about change management come up often when organizations are on a data mesh journey. In this episode of #DataMeshTV, Starburst VP, Field Chief Data Officer Adrian Estala and onepoint Data Insights Consultant Maria Jose Lopez cover change management principles, challenges, and how to set expectations with stakeholders.

Register now: https://www.starburst.io/info/datanova-2023/ This one’s for the data rebels Those who seek to not just ‘do data’ incrementally better, but different. For the leaders who want to help their companies become truly data-driven. For the analyst in all of us that seeks simpler & faster ways to get important insights. Most importantly, it’s for the data engineers & architects that bear the burden of making all the data things happen – faster, better, and cheaper. Datanova promises a different option. Or, many different options. All which buck the trends the database industry has operated on for the past 30 years. Welcome to Datanova: The future of data. Free. Virtual. Global. Datanova offers attendees: • Time and space to hear from companies who have reshaped their data strategy, and traveled back from the future to share their stories. • Technical skill-building opportunities to learn how to solve (big) data problems with modern data stack tools. • An opportunity to hear from the data rebels who’ve disrupted traditional models by leading the conversations around data mesh, data lakehouse, and the modern data stack.

In this #DataMeshTV episode with Ken Seier, National Practice Lead for Data & AI of Insight and Adrian Estala, VP, Field Chief Data Officer of Starburst, they discuss how Data Mesh early adopters got started. Because these new adopters are partnering with experienced practitioners like Insight and exploiting the capabilities of innovative tools like Starburst, we're able to share how organizations transformed plans into some early big wins as well as enduring some pain along the way.

Karl Hampson, Chief Technology Officer, Data & AI at Kin + Carta and Adrian Estala, VP, Field Chief Data Officer at Starburst examine new and creative ways to engage with data consumers to meet vital business KPIs.

Srinivas Paluri, Senior Director, Data Engineering at Zillow and Starburst VP, Field CDO Adrian Estala talk about what building a data product runbook would entail. Keep in mind, creating a data product runbook might look just a little differently from one organization to another. The more important point is that we’re starting with a dialogue with a similar baseline that we can examine together.

Vista’s EVP, Chief Data Officer Dr. Sebastian Klapdor and Starburst’s VP of Data Mesh Consulting Services Adrian Estala discuss the opportunities and challenges enterprises should consider when drafting a Data Mesh strategy, the total cost of ownership for data products as well as a the investment portion of a Data Mesh ROI.

The phenomenal Scott Taylor, The Data Whisperer and Starburst’s VP of Data Mesh Consulting Services Adrian Estala engage in a lively exchange on telling better data stories to C-Level Executives and Business Stakeholders as well as the tension between team Data Fabric and team Data Mesh. At the root of every data story and journey, perhaps the more important focus is the why of data rather than the how.

Data Mesh For Dummies, Starburst Special Edition authors Colleen Tartow, Ph.D., Andy Mott, and Adrian Estala guide curious readers on starting their Data Mesh journey. They jump straight to the centerpiece of any Data Mesh design: Data Products and cover additional themes that didn’t make the cut.

Starburst VP of Data Mesh Consulting Services Adrian Estala and CTO of Your Data Connect Alex Scroggins discuss how you can leverage data products with Data Mesh as a framework to generate real, measurable value that will impress the business and shareholders alike.

DAMA Netherlands President Ronald Baan and Starburst’s VP of Data Mesh Consulting, Adrian Estala take a closer look at leveraging international data management standards with Data Mesh.

Digital Operations Thought Leader Rob Akershoek and Starburst’s VP of Data Mesh Consulting, Adrian Estala discuss Data Mesh with a digital operating lens. When considering a Data Mesh implementation, there are key questions about how it fits into your operating model, or more importantly, how it fits into your future digital operating model.

Starburst VP of Data Mesh Consulting Services Adrian Estala and Immuta's Zachary Friedman have a conversation on federated computational governance, data products, and how to get started on your Data Mesh!

Adrian Estala, former CDO and Starburst’s VP of Data Mesh Consulting Services, and Chief Data Officer Marco Hoppenbrouwer discuss three areas that are key for your Data Mesh journey.

Listen to context-rich conversations with data experts and others as we dissect what Data Mesh is and how others view it as well as implementation.