Vitalija Bartusevičiūtė

Every very week there's a new Fabric feature, a Databricks update, a Power BI trick, an AI model that "changes everything." Keeping up feels less like excitement and more like exhaustion - the fear of falling behind, the guilt of not trying the latest thing yet, the worry that everyone else has it figured out. LinkedIn, now flooded with AI-generated content, only turns up the pressure and the impo

In this session we will take a tour through the user-facing side of Databricks - the analytics and consumption tools that sit on top of the Lakehouse. From the SQL editor and Unity Catalog to AI/BI dashboards, Genie, and Databricks One, the talk covers how these tools fit together and how the platform has evolved to serve everyone from data engineers to business users. A practical and honest look at where Databricks stands today as an end-to-end analytics platform.

As modern enterprises adopt the Lakehouse architecture to unify data engineering, analytics, and AI, maintaining high data quality becomes a foundational requirement. In this session, we explore how Databricks enables scalable, automated data quality management using a combination of open-source and native tools.

The Databricks Medallion Architecture is a scalable framework for organizing and processing data in a modern data lakehouse. It uses a multi-layered structure with three main tiers—Bronze, Silver, and Gold—to systematically transform raw data into actionable business insights.

This session will demonstrate how to leverage Databricks capabilities— including Lakeflow Jobs, Lakeflow Declarative Pipelines, Dashboards, and Databricks SQL—to meet modern data platform requirements. We will cover governance of data engineering workflows through DataOps practices, such as CI/CD integration and data quality monitoring.

Join for an interactive session designed to introduce participants to the core features of Databricks, a unified platform for data engineering, data science, and machine learning. In this session, you'll learn to navigate Databricks' interface, manage clusters, SQL editor and use notebooks to write and execute code,…

Join an introductory session on the Databricks platform, a cloud platform which simplifies complex data management and unites BI and ML together! In this session we will cover an introductory overview, exploring its key features and functionalities.

Join an introductory session on the Databricks platform, a cloud platform which simplifies complex data management and unites BI and ML together! In this session we will cover an introductory overview, exploring its key features and functionalities.

Join us for a session on Databricks Azure, where we will explore the game-changing Medallion Architecture. The session will focus on the integration of template-based notebooks, where we will showcase how this feature enhances collaboration, accelerates workflows, and ensures consistency in analytics projects. Additionally, we will discover the power of Unity Catalog integration, providing a centralized hub for metadata management and optimizing data discoverability.