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.

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

Come and learn more about the newest native data governance and privacy capabilities that work across clouds and regions to bring visibility and control across your entire global data estate.

Reading, processing, and analyzing large amounts of text has been a bottleneck for businesses until semantha. Discover how Snowflake is enabling semantic processing platform, semantha. Join Snowflake Product experts Abdelmalik El Guesaoui, Founder at semantha, to learn about how semantha’s text and data processing platform analyzes information, highlighting only the most relevant and useful content allowing users to focus on what matters. With pre-trained language models natively integrated, semantha, Powered by Snowflake, works out of the box to analyze and compare unstructured data in real time.

Note: This session will be delivered in German language.

In diesem Vortrag wird der Aufbau des Enterprise Data Marketplace der Generali Versicherung erläutert. Es wird eine Übersicht über die bisherige Data- & Analytics-Journey gegeben sowie die Anforderungen des Business und anderer Datenkonsumenten an eine solche Plattform in der Versicherungsbranche beleuchtet. Zusätzlich wird der Ansatz des Data Marketplace erklärt und Einblicke in die technische Architektur der Plattform gegeben.

Explore how Sennder, Europe’s top freight forwarder, harnessed data to empower all its team with 30,000+ dashboards using Fivetran and Snowflake. Discover their journey to a future-proof architecture for democratized access to great quality data at efficient cost.

Would you like to know how Siemens AG, a leading manufacturing company, built an innovative, scalable, and flexible data mesh architecture with Snowflake and transformed their Data and AI ecosystem? Join Christian Meyer from Siemens AG and Pradeep Achar Hanumanthachar from Accenture as they share the solutions, learnings, and experiences from the Siemens new cloud data platform.

More information to follow

Utilizing data assets becomes crucial to enterprises future business growth and efficiency gains, which leads to the necessity of a mature data management. Regulatory requirements such as the Supply Chain Act enforce the urgent demand to foster high quality data products across the entire value chain within the global organization. BayWa r.e. identified potentials to optimize their processes and hence realize cost efficiency effects. Therefore, a green field approach has been initiated to start the Data Enablement Journey.

Don’t miss your chance to take a deep dive into BayWa r.e.’s platform architecture, learn from the company’s experiences, challenges, solutions and engage with Matthias and Christian with regards to your questions.

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.

This session will discuss security, networking, and identity access management (IAM) around building multi-tenant data applications on Snowflake. It will dive into security, data control, and tenants’ isolation options for builders looking to develop a secure multi-tenant application. We will cover secure connectivity, identity access management, data governance capabilities, encryption, data protection, high availability, auditing and monitoring, including all the new security features.

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.

With Snowpark Python now generally available, many customers are now able to bring production workloads in Python to Snowflake. But, how? For instance, how should you think about the DataFrame API vs. user-defined functions vs. UDTFs? In this session, you’ll learn core design principles for building capabilities on top of Snowpark Python (across data engineering, data science, and data application workloads).

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

Snowflake is rapidly adding new data types, geospatial functions, and product integrations that enable geospatial analytics in the cloud. Join this session to learn about new features and future plans for geospatial analytics from Snowflake engineers who built these capabilities. We will introduce a new geometry data type and share what we are doing to ingest geo data into Snowflake more easily.

Cloud Data Engineering for Dummies, Snowflake Special Edition, states: “Data engineering isn’t something you do once. It’s an ongoing practice that involves collecting, preparing, transforming, and delivering data.” Snowpark Python presents a powerful new way to do data engineering. In this session, we’ll focus building data engineering pipelines with Python. You’ll see the end-to-end process of creating a robust data engineering pipeline using Snowpark Python stored procedures. That pipeline will process data incrementally, be orchestrated with Snowflake Tasks, and be deployed via a CI/CD pipeline. You’ll also learn how to use Snowflake’s new developer CLI tool and Visual Studio Code extension.

More information to follow

The most forward-thinking and innovative financial services organizations have a cloud-first approach to banking—and European embedded finance provider Solaris is no different. Hear from Roy Ben David, Group Director Data & Analytics at Solaris to see how the company has improved its data management and access using Snowflake’s Data Cloud—combining 70 data sources, hundreds of reports, and thousands of lines of code. And learn how improved integration, data sharing, and performance has transformed Solaris’ time to delivery, helping the company share countless benefits with its partners and customers, too.

This session walks you through New Work SE’s journey in modernising their BI infrastructure through cloud migration, focusing on the adoption of Snowflake and dbt Cloud.
Bruno will share how and why they have chosen the data stack they are working with, the challenges they faced and how they managed to succeed.
Moreover, Bruno will be sharing their key learnings and their next steps to continuously optimising their cloud-based BI system.
Join us for valuable insights into navigating a successful BI cloud migration.

Discover the power of combining Amazon Web Services (AWS) and Snowflake for data-centric AI. This talk explores the synergistic capabilities of both platforms in building scalable, reliable, and high-performance data architectures.
Learn how Amazon SageMaker and Snowflake platform work together to deliver a solution for your business. Gain practical insights into integration strategies, data transformation, stream processing, and data integration patterns. Join us to unlock the full potential of AI and data streaming in today’s data-driven landscape.

At a renowned retail company, we migrated a very large and complex data platform to the Snowflake Data Cloud. We present the approach, challenges and experiences that led to the successful completion of this migration in a very short time.

With over 1,300 stores in 17 European countries, C&A is one of Europe’s leading fashion retailers – and it’s spent the last few years modernising its data and analytics practices with Snowflake’s Data Cloud.

Join Lutz Bauer, C&A’s Domain Architect for Data Analytics, to hear how Snowflake has bought new levels of speed, scalability, and accessibility to the company’s analytics. Plus, learn how C&A used Snowflake to support its best-of-breed data architecture and explore business-critical SAP data in the cloud.

Don’t miss your chance to take a deep dive into C&A’s architecture, learn from the company’s experiences, challenges, and solutions, and pitch your questions to Lutz.

For vacation home rental aggregators, dynamic pricing is a hugely complex undertaking—even more so than the closely-related hotel booking market. But for all-in-one vacation booking software vendor DS Destination Solutions, the opportunity to pioneer dynamic pricing was too good to miss.

Join Lars Brinkmann, CTO at DS Destination Solutions to discover how the company used its early business KPI successes with Snowflake to build a dynamic pricing platform on Snowflake’s Data Cloud. And see how the company connects countless sourcing APIs and aggregators to deliver seasonality-based covering multiple variables for each of its customers’ 200k+ properties.

Media advertising is a big business. But understanding users well enough to maximize revenues is a never-ending challenge. That’s where BurdaForward comes in. In just a few years, the company has become a leading force in generating data-driven advertising insights that help people do more with less.

BurdaForward’s Head of Transparency Tech – Data Platform, Nicolas Ajram, tells the company’s story of how it moved all its data to Snowflake’s Data Cloud, allowing it to process around 1TB of data every day. And hear how simplified data accessibility has helped drive a culture of innovation, uniting departments, accelerating time to insight, and boosting data democracy and transparency.