🇱🇹 Build Your First End to End Lakehouse Solution during Big Data CONFERENCE Europe 2025 - AI, Cloud and Data Conference Vilnius, Lithuanian

Welcome to Big Data Conference Europe 2025 🇱🇹 — an event dedicated to advancing the future of AI, cloud, and data innovation.

This workshop gives you practical, hands-on experience in building a complete lakehouse solution using Microsoft Fabric. You’ll learn how to integrate, transform, and manage data across the entire lifecycle with pipelines, dataflows, notebooks, and Spark. You’ll also see how BI analysts and data scientists leverage the lakehouse to accelerate insights and strengthen decision-making.

[!IMPORTANT]

Join a group on Whatsapp: https://chat.whatsapp.com/Ffj9gyzwMjDEq1mlpM4UnF

Workshop Goals

• Master Microsoft Fabric Data Integration and Data Engineering.
• Develop a complete data workflow: ingestion, preparation, and serving.

• Use Microsoft Fabric to analyze New York City's taxi data for improved urban planning and transportation safety.

• Unified urban transport data analysis.
• Enhanced fleet management and traffic forecasting.
• Data-driven urban development insights.
• Improved transportation reliability and safety.
• Adaptable data infrastructure for future urban mobility trends.

Agenda

[!TIP]

You can progress through these exercises at your own pace. While we have structured logical breaks within the session, these are merely suggestions. You are not required to stop if you prefer to continue working. These breaks are provided to accommodate those who may need them. Feel free to continue through the material as fits your learning style and needs.

The schedule can be adjusted to align with participants’ availability, exercise needs, and the group’s overall velocity. The break period will remain unchanged.

[!IMPORTANT]

9:00 am - 9:45 am - Introduction, Set Up and Overview of Fabric Data Platform

1. To get login and password to Fabric go to this spreadsheet and reserve your login from the list.

2. Introduction, Set Up and Overview of Fabric Data Platform

3. Review and keep open the provided naming conventions.

9:45 am - 10:50 am - Exercise 1 - Data Ingestion Foundations

10:50 am - 11:15 am - Coffee break 25 minutes

11:15 am - 12:45 am - Exercise 2 - Data Transformation with Spark. + Data Wrangler

12:45 am - 13:30 pm - Lunch break - 45 minutes

13:30 pm - 15:10 pm - Exercise 3 - Data Wrangler's based Pipeline + Collaboration and SQL Analytics ++ Q&A

15:10 pm - 15:35 pm - Break 10 minutes

01:25 pm - 02:25 pm - Exercise 4 - Serve and consume data using Power BI

02:25 pm - 02:35 pm - Break 10 minutes

17:00 pm - 17:30 pm - Exercise 5 - Latest Fabric Features

17:30 pm - 18:00 pm - Wrap-up and Q&A. Buffer, Recap and Extra exercises