Ljubica Vujovic Boskovic

Unity Catalog External Locations are how Databricks connects to storage. Users define a path to the storage, attach a credential, and UC governs everything built on top: managed tables, views and other assets. Currently, it supports S3, ADLS, GCS and Cloudflare R2. We are expanding this functionality to include support for Microsoft OneLake. In this session, we'll show how External Locations provide a consistent, extensible pattern for connecting Databricks to any storage platform — and walk through what it takes to create External Location for Microsoft OneLake. You'll see the architecture, the setup end-to-end, and a demo reading and writing UC-governed assets directly into OneLake storage without needing to setup any ETL pipelines. We will close the session with what’s next: extending the same model to on-premise storage, so Unity Catalog becomes a single governance layer across your data estate.

Are you ready to become analytics superhero? Hesitate no more! Microsoft Fabric is out and building analytics solution cannot get any easier! If you believe that the best way to learn is to learn by example, join us! We will build a new green field analytical solution using new all-in-one Microsoft Fabric that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. You will enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs. We will start off the day with an overview of Microsoft Fabric, set up the environment and explain the scenario for the day. There is no use of analytics solution if there is no data. So, we will show how data is stored in Fabric, how you can integrate existing data, or ingest data from different sources. Here we will create landing zone and integrate existing data without making another copy! Once data is in Microsoft Fabric OneLake, we will process it efficiently while demonstrating best practices. Data engineers are used to Spark so it will be our tool of choice in creating different layers while tackling all the things you need to know. During this part, you will learn how to incrementally load data and make sure your cleansing is done right and in an effective and dynamic way! Rest assured, SQL folks are not forgotten! We will show how you can access the same data using SQL! Of course, there is no using loading data without a serving layer for your business needs. We will show you how you can use Lakehouse & Warehouse in Microsoft Fabric focusing on performance! Finally, we will show you how to build Power BI report using new consumption method reading data directly from the lake, called DirectLake, skipping data engines. If you do not know where to start, don’t worry, during this day we will explain every step and how Fabric helps you get the job done. Also, we will share the best practices seen at most customers! After this day you will have a clear understanding of how Fabric works and what components you must use for you own top notch analytical solution! Fabric is brand new, so instead of throwing terminology here, we are inviting you to join us and become the analytics superhero!