A “House on the Lake” and GPT-izing Power BI

Unlock the power of Data Lakehouse architecture, a game-changing hybrid approach that combines the scalability and flexibility of a data lake with the structured performance of a data warehouse. In this session, we’ll explore how a Data Lakehouse can provide a unified data repository, streamline analytics, and enhance data accessibility for engineers, data scientists, and AI models—all while maintaining data integrity and governance.

Join us to learn best practices for handling structured, semi-structured, and unstructured data, optimizing data pipelines, and leveraging advanced analytics without the complexity of traditional data storage solutions.

Key Takeaways:

• Unified Data Management – Store structured, semi-structured, and unstructured data in a single, scalable repository for seamless access and processing.
• Empowering Data Teams – Create a centralized workspace for data engineers, scientists, AI/ML teams, and business analysts.
• Optimized Data Pipelines – Learn how to manage multiple data pipelines for real-time and batch processing while ensuring data integrity and transaction consistency.
• Advanced Analytics & AI Integration – Discover how a Data Lakehouse improves data analytics, business intelligence, and machine learning workflows.