Starburst TV, Podcast Edition

AI Governance addresses the safe and transparent deployment of artificial intelligence solutions. Join AI Risk Leader Avishay Gaziel and Adrian Estala, Field CDO, as they weigh the tradeoffs and introduce the concept of data products as an approach for bringing in secure and quality data into AI engines.

For decades data virtualization has been little more than a dream. How nice it would be if we could ignore all the details regarding where data is located and how it is stored, and simply access all data within an organization from a single unified interface! Unfortunately, this dream was held back by fundamental limitations of hardware and complexity of the necessary software, so data virtualization remained a niche technology. However, in the last decade, advances in networking hardware and machine learning technology has started to transform data virtualization from dream to reality.In this book, we discuss:What is data virtualization and why is it useful?What are the technical underpinnings that make virtualization more practical today than it ever has been in the past?Where does data virtualization fit into the modern data mesh and data fabric paradigms?Download the first early release chapters today, and we’ll send you more chapters as they become available.

In the next episode of Starburst TV with Adrian Estala, we tackle Knowledge Graphs with the host of Catalogs and Cocktails, and Principal Scientist & Head of AI Lab at data.world. Following Juan Sequeda's “No BS” approach, we will discuss why knowledge graphs are such an important capability for building business intelligence across your enterprise data.

Join us on the next episode of StarburstTV where Adrian Estala will discuss the fascinating topic of game theory in data analytics. You don't need two PhD's to enjoy the show as we will talk about strategy and application with a leading data innovator, Gerardo Parrello

In today’s innovative data landscape, achieving business outcomes still hinges upon the same pillars of data quality, regulatory compliance, and business enablement. Balancing your data governance approach with the speed and analytics driven value that your business teams demand is challenging. A modern data strategy requires governance to be as agile and innovative as the AI solutions that are being developed. Next up on Starburst TV, we join Slalom’s Senior Director, Alfredo Bird-Munoz and Field CDO Adrian Estala as they explore the reciprocal relationship between AI and data governance: the influence of AI on ensuring the integrity of data fed into models, and conversely, the role of governance in AI deployment and utilization of its outputs.

Field CDO, Adrian Estala delves into GigaOm's new report findings that challenge the cloud data warehouses position in a truly modern data stack. The report presents an alternative — one that offers lower cost and increases flexibility to run fast analytics on all your data, while significantly reducing complexity and data movement. Gain valuable insights from guest speakers Lutz Künneke, Director of Engineering, and Isa I., Senior Data Engineer, representing BestSecret, as they share their journey from Snowflake to Starburst Trino and Iceberg. Concluding the discussion, Justin Borgman, Co-Founder & CEO of Starburst, offers a fresh perspective on the modern data stack, revealing its hidden limitations.

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.

While Trino is mostly known for ad-hoc analytics, companies like Salesforce and Lyft were using Trino to run long-running queries at a petabyte scale. With the implementation of fault-tolerant execution, running those queries becomes even easier. Learn about the architecture behind the feature which makes this possible and the potential capabilities it can bring to your own ecosystem.