Data cloud World Tour

The discovery of large language models (LLMs) is enabling an array of dazzling new AI apps that can converse and reason remarkably like humans. This talk will explore how Snowflake can help you leverage LLMs for your own data, both now and in the future. You will learn how to build your own LLM-powered app using Snowflake and Streamlit, with live demonstrations of how to use generative AI and LLMs to power natural language data explanation, exploration, recommendation, discussion, and question answering. This talk will also discuss Snowflake’s strategy, including its recent acquisitions of Streamlit and Applica, and present some new AI products being developed in-house. Finally, the speakers will explore this technology’s implications for app development, data storage, processing, and analytics, and conclude with thoughts on how Snowflake can help you navigate this rapidly changing future.

Join us to learn about the latest Snowflake platform innovation to provide developers with enhanced flexibility to work and build with data.

Do you ever wonder about the lifecycle of a Snowflake query? And how to investigate and understand factors that impact your query performance? This session aims to address these questions and more while providing actionable insights and practical tips to help you improve query performance. Topics addressed include a comprehensive overview of Snowflake query performance, covering the lifecycle of a Snowflake query, the Snowflake optimizer, factors affecting query performance, and best practices to improve performance. Participants will gain a deeper understanding of the fundamentals of the Snowflake compiler and optimizer, learn troubleshooting techniques to identify performance bottlenecks and see how Snowflake features and services can optimize query performance for different scenarios.

Change is constant in the consumer industry. In the last 3 years the industry has navigated the pandemic, had to react to the supply chain crisis and adjusted their business based on dealing with cost of living crisis and now, how to adjust the product offering as we start to see deflationary consumer behaviour. Learn how the leading Retail & CPG companies across the globe are taking advantage of the data economy to constantly deliver world class customer experience in a disrupted market.

Join Picnic, Europe’s leading online supermarket, as they share their latest learnings on scaling ML models with fresher data. After showing the value of centralised BI in this year’s Snowflake Summit, discover how Picnic leverages data-driven technology to enhance customer experiences and minimize food waste with advanced analytics and machine learning. We will be exploring a practical case study centered on demand forecasting, leveraging Snowflake’s infrastructure for data processing, combined with AWS resources to enable efficient and performant data science workflows. Learn how Picnic is shaping the future of data-driven online grocery shopping!

In this session, Eneco will guide you through the journey of its migration to Snowflake from a business perspective.

Eneco has an ambition towards climate neutrality in 2035. To accomplish this goal through our data driven strategy, we needed a scalable data infrastructure. Sander will share the primary goals for the data platform and the supporting architecture. He will be focusing on the business involvement and the changes made during implementation. He will share lessons learned and the value delivery of the Snowflake Data Cloud.

With the Snowflake Native App Framework you can bring your application to your customer’s data, natively in the Data Cloud! Join us to learn from Snowflake product experts and industry-leading customers about how you can use the Snowflake Native App Framework to build Snowflake Native Apps, distribute and monetize them via Snowflake Marketplace, and deploy them directly in your customers‘ Snowflake accounts.

Join us to hear the latest Snowflake platform innovations including new out-of-the-box performance improvements, advanced analytics capabilities, and enhanced business continuity. You’ll also learn new ways to monitor, control, and optimize spend alongside our latest built-in workload optimization.

Joins us to learn about the latest enhancements helping data scientists and ML engineers develop and productionize machine learning models natively in Snowflake.

Data Mesh is arguably one of the most talked about IT topics in the industry in recent years. While the appeal of the Data Mesh methodology has taken the industry by storm, many companies are still struggling with actual implementations in their organization. In this session we summarize what we have learned from dozens of Data Mesh engagements with Snowflake clients around the world. We will discuss what worked, what didn’t, common mistakes, and best practices with Snowflake.

Organizations of all sizes want to be data-driven. To steer the organization, decision makers need timely data generated by supply partners, internal operations, and the industry ecosystem. Transforming the data landscape to become a data-driven organization comes with challenges. Join this session to learn about operating models of data governance in a data mesh.

Join us to learn more about the latest enhancements to Snowflake’s integration with Streamlit and how you can start quickly building apps using Python.

Learn how the consumption-based pricing model empowers organisations to accelerate broader digital transformation, and unlock transformational business outcomes. This session will introduce the Snowflake FinOps Framework – A structured approach to understanding, managing and optimising spend on Snowflake’s platform. You’ll hear real-world customer success stories and takeaway best practices to govern and optimise Snowflake spend.

Join us to hear the latest enhancements with Apache Iceberg, powering flexibility and open standards in the Data Cloud.

A big part of data science and machine learning workflows is data pre-processing and transformation for creating useful features that serve as inputs for ML models. Once useful features are defined and computed, they need to be kept up to date with new data and used consistently with a single source of truth across all use cases and across teams. In this session, we will show how Snowflake provides powerful functionality for supporting large-scale feature engineering through new capabilities for data transformation in Snowpark, and management of these features via feature store infrastructure linked to an end-to-end machine learning operations solution. This helps you bring feature engineering to where your data is, reducing need for unnecessary data movement and taking advantage of Snowflake’s scalability, security, and governance.

Enabling digital transformation in a life & pension company via the Data Cloud

Velliv is a Danish insurance and pension company. They offer a range of financial products, including life insurance, pension plans, and savings solutions, to help individuals secure their financial futures.

Alliander is the largest distribution grid operator in the Netherlands facing large business challenges due to the energy transition. Join this session to learn how they migrated from Hadoop to Snowflake in under 6 months. We will also discuss their plans to replace their current SAP HANA data warehouse with Snowflake’s Data Cloud, embracing a data mesh architecture that empowers individuals across the organization with the data they need.

This session explores how PGGM has overcome organisational and technological challenges in their shift towards a self-service data platform, to achieve improved data sharing and autonomy among teams for enhanced data management and analytics capabilities.

BUX is one of Europe’s fastest-growing neobrokers and has been making it easy and affordable for Europeans to do more with their money since 2014. In this session, BUX will share why it needed a modernised data platform and how Snowflake fits into its new data stack. Hear how BUX uses the Data Cloud to deploy code in a fast and reliable way, without compromising security. They’ll also share some lessons learned.

Snowpipe Streaming reduces ingestion cost as it is on demand compared to running a streaming receiver like Spark that is running 24-7-365. These serverless features self-heal, which reduces the cost of maintenance as well. In this session, you’ll see an ingestion and transformation pipeline build that saves cost on streaming data using new Snowpipe Streaming and Dynamic Table functionality.

Want to see what the future of data transformations looks like?

*This Lab requires a laptop*

Join this hands-on lab to find out how to visually transform your Snowflake data with Coalesce, the only data transformation solution uniquely built for the Data Cloud. You’ll learn how to navigate the Coalesce interface. Build, visualize, and manage your data warehouse. Use standard and custom data patterns to apply and standardize transformations. Deploy and refresh your data pipelines, and more. All you’ll need for this lab are free trial accounts with Snowflake and Coalesce. Haven’t signed up yet? Nothing could be easier – first set up your Snowflake trial account, then launch your Coalesce account from Snowflake Partner Connect.

Last but not least: Check out some optional pre-lab activities here!