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This dbt Meetup is an opportunity for the local Munich dbt and Snowflake Community to connect and collaborate. If you work with data, this event is for you. We welcome data analysts, scientists, engineers, architects, and more!

➡️ Join the dbt Slack community: https://community.getdbt.com/ Join the conversation in the #local-munich channel in dbt Slack to connect with other data practitioners locally and make sure to join the #local-dach channel aswell.

🤝 Organizer: btelligent 🏠 Venue: Synabi Offices, Oskar-Schlemmer-Straße 13, 80807 München

✨ Agenda & Speakers ✨ 17.30: Registration **** Registration will close at 17.50**** 18.00: Welcome b.telligent \| dbt \| Snowflake 18.15: Common pitfalls when building a data warehouse [dbt] Tim Hiebenthal - Project A Ventures Over the years, we have collected a list of best practices to avoid common pitfalls like inconsistent metrics and slow response times. Discover how to build a robust and adaptable data warehouse that fosters trust and alignment between data teams and stakeholders 18:45: Using the Snowflake Cortex Search Service to Interact with Your Documents [Snowflake] Maja Ferle Snowflake Data Superhero - In516ht This session, will demonstrate how to quick and easy it is to build a RAG (retrieval augmented generation) solution that enables us to chat with pdf documents in natural language. Maja will use Snowflake Cortex LLM (large language model) functions and the Cortex Search service to upload and process pdf documents and demonstrate how to ask questions to get specific information from the documents. 19.15-20.30: Networking With Food & Drinks

dbt is the standard in data transformation, used by over 40,000 organizations worldwide. With practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently and build trustworthy data for the whole organization. Learn more: https://www.getdbt.com/

Snowflake is a leading cloud-based data platform, trusted by thousands of organizations. Snowflake enables teams to manage and analyze their data with unprecedented flexibility and efficiency. Its architecture allows for the separation of storage and compute, providing cost-effective solutions tailored to diverse business needs. Snowflake empowers organizations to derive insights from their data in real-time, enhancing decision-making across the enterprise. Learn more: https://www.snowflake.com/

Note: To attend, please read the Health and Safety Policy and Terms of Participation: Health & Safety

A practical introduction to data engineering on the powerful Snowflake cloud data platform. Data engineers create the pipelines that ingest raw data, transform it, and funnel it to the analysts and professionals who need it. The Snowflake cloud data platform provides a suite of productivity-focused tools and features that simplify building and maintaining data pipelines. In Snowflake Data Engineering, Snowflake Data Superhero Maja Ferle shows you how to get started. In Snowflake Data Engineering you will learn how to: Ingest data into Snowflake from both cloud and local file systems Transform data using functions, stored procedures, and SQL Orchestrate data pipelines with streams and tasks, and monitor their execution Use Snowpark to run Python code in your pipelines Deploy Snowflake objects and code using continuous integration principles Optimize performance and costs when ingesting data into Snowflake Snowflake Data Engineering reveals how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you’ll practice the most important data engineering tasks as you work through relevant hands-on examples. Throughout, author Maja Ferle shares design tips drawn from her years of experience to ensure your pipeline follows the best practices of software engineering, security, and data governance. About the Technology Pipelines that ingest and transform raw data are the lifeblood of business analytics, and data engineers rely on Snowflake to help them deliver those pipelines efficiently. Snowflake is a full-service cloud-based platform that handles everything from near-infinite storage, fast elastic compute services, inbuilt AI/ML capabilities like vector search, text-to-SQL, code generation, and more. This book gives you what you need to create effective data pipelines on the Snowflake platform. About the Book Snowflake Data Engineering guides you skill-by-skill through accomplishing on-the-job data engineering tasks using Snowflake. You’ll start by building your first simple pipeline and then expand it by adding increasingly powerful features, including data governance and security, adding CI/CD into your pipelines, and even augmenting data with generative AI. You’ll be amazed how far you can go in just a few short chapters! What's Inside Ingest data from the cloud, APIs, or Snowflake Marketplace Orchestrate data pipelines with streams and tasks Optimize performance and cost About the Reader For software developers and data analysts. Readers should know the basics of SQL and the Cloud. About the Author Maja Ferle is a Snowflake Subject Matter Expert and a Snowflake Data Superhero who holds the SnowPro Advanced Data Engineer and the SnowPro Advanced Data Analyst certifications. Quotes An incredible guide for going from zero to production with Snowflake. - Doyle Turner, Microsoft A must-have if you’re looking to excel in the field of data engineering. - Isabella Renzetti, Data Analytics Consultant & Trainer Masterful! Unlocks the true potential of Snowflake for modern data engineers. - Shankar Narayanan, Microsoft Valuable insights will enhance your data engineering skills and lead to cost-effective solutions. A must read! - Frédéric L’Anglais, Maxa Comprehensive, up-to-date and packed with real-life code examples. - Albert Nogués, Danone

Join us for this virtual meetup focused on mastering prediction with Snowflake's powerful ML functions. The event will feature a hands-on demo showcasing real-world applications of predictive modeling with Snowflake, as well as a panel offering relatable career advice. Led by an experienced data architect, Maja Ferle, we’ll dive deep into building accurate predictions while sharing practical tips on staying up-to-date with tech advancements, navigating career growth, and overcoming challenges in the fast-paced tech world. It’s perfect for women looking to enhance their tech skills and receive practical, straightforward career guidance! Please note the event is hosted on Snowflake usergroups website - please register here to get access to the event link on the date.