Boels Rental is one of Europe’s leading providers of equipment and tool hire. The Data & Analytics program sought to unify data on Snowflake, standardize analytics, and establish a cohesive framework for data-driven decision-making.

In this session, Roy Louvenberg and Ralph Knoops at Boels Rental, will share how the team leveraged Fivetran to rapidly and securely connect diverse data sources into a single central platform—empowering business operations, driving insights, and maximizing ROI.

Join this session to discover:

•Why fresh, reliable data is essential for analytics and business processes at Boels Rental •How Fivetran enables seamless integration from a wide range of sources, including SAP S/4HANA, Db2, and SQL Server

Come to this session to learn about Snowflake solutions for handling your transactional data. Hybrid Tables are tightly integrated into Snowflake providing a unified experience for transactional and analytical workloads, meaning no need for ETL. Postgres is an open source RDBMS loved by developers with very low latency reads and writes, and following the acquisition of Crunchy Data it will be coming to your Snowflake accounts. We'll describe the architectural differences between Postgres and Hybrid tables and help you navigate when to use which.

Bridging the Gap: Using Generative AI for Audience Insight & Segmentation

Seats are limited to 16 attendees. Register here to save your spot. 

https://www.snowflake.com/event/marketing-data-stack-roundtable-swt-amsterdam-2025/

This roundtable explores how generative AI (GenAI) is revolutionizing audience segmentation and insights. The discussion will focus on practical, in-the-moment applications that empower marketers and media professionals to move beyond static data analysis. We will examine how GenAI tools, like those available natively on Snowflake Cortex, can translate complex data filters into rich, narrative-driven audience descriptions. 

The conversation will also highlight how GenAI capabilities streamline workflows by allowing users to build audience segments using natural language, democratizing access to data and accelerating decision-making. The goal is to provide a clear, concise, and actionable understanding of how GenAI is bridging the gap between raw data and powerful, human-centric insights.

In this session, discover how organizations are extracting actionable insights from text, documents, images and audio — all in Snowflake Cortex AI. This session reveals practical techniques for building integrated multimodal analytics pipelines using Cortex AI SQL functions and Document AI. Learn how to orchestrate complex, multi-step data analysis across previously siloed data types — simply, with SQL.

VodafoneZiggo, one of Europe’s leading telecommunications and entertainment providers, had accumulated years of data stored on multiple platforms, each shaped by different modeling approaches and design decisions, resulting in complexity and mounting technical debt. As the company moved to consolidate everything on Snowflake, the challenge was to unify these inconsistent systems into a single, efficient architecture. Rather than build custom tooling, VodafoneZiggo chose Coalesce to define its patterns once and automatically render them as code, ensuring governance, consistency, and cost efficiency across teams. This shift ensures consistent data vault modelling, enables faster time to market, and provides teams with the flexibility to innovate within well-governed standards—balancing predictability with adaptability at enterprise scale.

In this session, Stephen Martens, Data & AI Solution Architect & Vincent Eggenhuizen, Senior Data Engineer, will share how VodafoneZiggo approached consolidation, standardized its architecture, and empowered teams to build faster with confidence.

Booking.com has confidently accelerated their AI vision with a solid and smart data governance foundation, built on Snowflake and Immuta. We will discuss Booking.com's AI goals, how agentic AI is reshaping the traveler experience, and the importance of scalable data governance in making it happen. We’ll also discuss how Booking.com’s data marketplace allows them to find, share and provision instant data access, allowing data owners to share data at scale to achieve a truly connected customer experience.

Learn how to accelerate and automate migrations with SnowConvert AI, featuring data ecosystem migration agents powered by Snowflake Cortex AI. SnowConvert AI is your free, automated solution designed to dramatically reduce the complexities, costs, and timelines associated with data warehouse and BI migrations. It intelligently analyzes your existing code, automating code conversion, data validation, and streamlining the entire migration process. Join us for an overview of the solution, migration best practices, and live demos.

Learn how to build a Data Agent for Snowflake Intelligence using Snowflake Cortex AI that can intelligently respond to questions by reasoning over both structured and unstructured data.

We'll use a custom dataset focused on bikes and skis. This dataset is intentionally artificial, ensuring that no external LLM has prior knowledge of it. This gives us a clean and controlled environment to test and evaluate our data agent. By the end of the session, you'll have a working AI-powered agent capable of understanding and retrieving insights across diverse data types — all securely within Snowflake.

This is a Hands-On workshop, all attendees must bring their own laptop to participate.

In this session, we will enable CDAO's Enterprise Data Strategy by exploring the full lifecycle from the concept of data products—packaged, readily consumable data assets—to their distribution through Snowflake's internal marketplace.We will drive home 5 key points within this data product lifecycle:

1.Simplified data access for business users 2.Improved data discoverability & understanding 3.Increased data utilization & adoption 4.Accelerated time to insight 5.Metrics & considerations

Seats are limited to 16 participants to ensure a focused, interactive discussion. Registration on request. 

This roundtable will explore how top financial institutions are leveraging Snowflake for data engineering, analytics, and the next wave of AI workloads, the latest Snowflake innovations in AI, and best practices to accelerate regulatory reporting (DORA, ESG, BCBS) and harnessing Snowflake’s marketplace of 800+ FSI data providers. 

Join Toyota Motor Europe to discover their journey towards a fully operationalized Data Mesh with dbt and Snowflake.

TME (Toyota Motos Europe), one of biggest automobile manufacturing companies, oversees the wholesale sales and marketing of Toyota and Lexus vehicles in Europe. This session will showcase how dbt Cloud and Snowflake are supporting their data strategy.

They will elaborate on challenges faced along the way, and how their platform is supporting their future vision, e.g. enabling advanced real-time analytics, scaling while maintaining governance and best practices and setting themselves up with a strong data foundation to launch their AI/ML initiatives.

Join Martin Frederik, Maria Wiss, Grace Adamson, and Dash Desai, as they kickoff Snowflake World Tour Amsterdam, share vision for the AI Data Cloud, customer stories and make exciting product announcements.

This practical, in-depth guide shows you how to build modern, sophisticated data processes using the Snowflake platform and DataOps.live —the only platform that enables seamless DataOps integration with Snowflake. Designed for data engineers, architects, and technical leaders, it bridges the gap between DataOps theory and real-world implementation, helping you take control of your data pipelines to deliver more efficient, automated solutions. . You’ll explore the core principles of DataOps and how they differ from traditional DevOps, while gaining a solid foundation in the tools and technologies that power modern data management—including Git, DBT, and Snowflake. Through hands-on examples and detailed walkthroughs, you’ll learn how to implement your own DataOps strategy within Snowflake and maximize the power of DataOps.live to scale and refine your DataOps processes. Whether you're just starting with DataOps or looking to refine and scale your existing strategies, this book—complete with practical code examples and starter projects—provides the knowledge and tools you need to streamline data operations, integrate DataOps into your Snowflake infrastructure, and stay ahead of the curve in the rapidly evolving world of data management. What You Will Learn Explore the fundamentals of DataOps , its differences from DevOps, and its significance in modern data management Understand Git’s role in DataOps and how to use it effectively Know why DBT is preferred for DataOps and how to apply it Set up and manage DataOps.live within the Snowflake ecosystem Apply advanced techniques to scale and evolve your DataOps strategy Who This Book Is For Snowflake practitioners—including data engineers, platform architects, and technical managers—who are ready to implement DataOps principles and streamline complex data workflows using DataOps.live.

Un kick-off énergique pour lancer la soirée autour de l’univers Snowflake.

Unlock the full financial potential of your Snowflake environment. Learn how to cut costs, boost performance, and take control of your cloud data spend with FinOps for Snowflake—your essential guide to implementing a smart, automated, and Snowflake-optimized FinOps strategy. In today’s data-driven world, financial optimization on platforms like Snowflake is more critical than ever. Whether you're just beginning your FinOps journey or refining mature practices, this book provides a practical roadmap to align Snowflake usage with business goals, reduce costs, and improve performance—without compromising agility. Grounded in real-world case studies and packed with actionable strategies, FinOps for Snowflake shows how leading organizations are transforming their environments through automation, governance, and cost intelligence. You'll learn how to apply proven techniques for architecture tuning, workload and storage efficiency, and performance optimization—empowering you to make smarter, data-driven decisions. What You Will Learn Master FinOps principles tailored for Snowflake’s architecture and pricing model Enable collaboration across finance, engineering, and business teams Deliver real-time cost insights for smarter decision-making Optimize compute, storage, and Snowflake AI and ML services for efficiency Leverage Snowflake Cortex AI and Adoptive Warehouse/Compute for intelligent cost governance Apply proven strategies to achieve operational excellence and measurable savings Who this Book is For Data professionals, cloud engineers, FinOps practitioners, and finance teams seeking to improve cost visibility, operational efficiency, and financial accountability in Snowflake environments.

The journey from startup to billion-dollar enterprise requires more than just a great product—it demands strategic alignment between sales and marketing. How do you identify your ideal customer profile when you're just starting out? What data signals help you find the twins of your successful early adopters? With AI now automating everything from competitive analysis to content creation, the traditional boundaries between departments are blurring. But what personality traits should you look for when building teams that can scale with your growth? And how do you ensure your data strategy supports rather than hinders your AI ambitions in this rapidly evolving landscape? Denise Persson is CMO at Snowflake and has 20 years of technology marketing experience at high-growth companies. Prior to joining Snowflake, she served as CMO for Apigee, an API platform company that went public in 2015 and Google acquired in 2016. She began her career at collaboration software company Genesys, where she built and led a global marketing organization. Denise also helped lead Genesys through its expansion to become a successful IPO and acquired company. Denise holds a BA in Business Administration and Economics from Stockholm University, and holds an MBA from Georgetown University. Chris Degnan is the former CRO at Snowflake and has over 15 years of enterprise technology sales experience. Before working at Snowflake, Chris served as the AVP of the West at EMC, and prior to that as VP Western Region at Aveksa, where he helped grow the business 250% year-over-year. Before Aveksa, Chris spent eight years at EMC and managed a team responsible for 175 select accounts. Prior to EMC, Chris worked in enterprise sales at Informatica and Covalent Technologies (acquired by VMware). He holds a BA from the University of Delaware. In the episode, Richie, Denise, and Chris explore the journey to a billion-dollar ARR, the importance of customer obsession, aligning sales and marketing, leveraging data for decision-making, and the role of AI in scaling operations, and much more. Links Mentioned in the Show: SnowflakeSnowflake BUILDConnect with Denise and ChrisSnowflake is FREE on DataCamp this weekRelated Episode: Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at SnowflakeRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

A inteligência de dados está remodelando indústrias inteiras, e o jornalismo é um dos exemplos mais fascinantes dessa transformação! Neste episódio, contamos como a EPTV, uma das maiores afiliadas da Rede Globo, está reinventando a forma de produzir notícia com a criação de um Núcleo de Jornalismo de Dados em parceria com a Snowflake. Um projeto que combina tecnologia, inteligência artificial e análise de dados para transformar informações públicas em reportagens mais precisas, ágeis e relevantes. Exploramos como essa estrutura nasceu, os desafios de implementar uma cultura orientada a dados e o papel da Snowflake na automatização do acesso a informações, integração de fontes e uso de IA contextual para antecipar tendências e apoiar decisões editoriais. Se você quer entender como dados e IA estão moldando o futuro do jornalismo e inspirando novas formas de contar histórias, esse episódio é para você! Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Convidados: Marcelo Manzano - Gerente do time de Solutions Engineering na Snowflake Brasil Bruno Woth - Gerente de Dados e Desenvolvimento na EPTV Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: GRUPO EP - Empresas Pioneiras Snowflake

Learn how Fresha scaled Snowflake to 100k users and hear the key lessons from their embedded analytics journey with dbt.

Hear how EF (Education First) modernized its data stack from a legacy SQL Server-based environment to a modern Snowflake and dbt-based data stack. Find out what challenges and key decisions were handled during the process, and learn how to incorporate some of their key takeaways into your work.

Platform engineers from global pharmaceutical company invites you to explore our journey in creating a Cloud native, Federated Data Platform using dbt Cloud, Snowflake, and Data Mesh. Discover how we established foundational tools, standards, and developed automation and self-service capabilities.