Liping Huang

dataleaps.co.uk

Program Manager @ Tabular Editor. ex-Databricks, ex-Microsoft, organiser of Singapore Fabric & Power BI User Group, I specialize in Big Data Analytics, Data Engineering, Data Warehousing and Business Intelligence. In addition to helping customers building out data platforms and solving real world problems using data, I also write about Data & AI, make demos and tutorials on YouTube and do public speaking on related topics.

Sessions for 2026

Import vs. Direct Query vs. Direct Lake Power BI on Databricks storage mode considerations

In this session, you’ll learn how each storage mode interacts with Databricks. We’ll compare latency, scalability, freshness, security setup, and cost trade-offs, and discuss when newer options like Direct Lake shine versus when traditional Import or DirectQuery make sense.

Previous Sessions

Nose-Dive Narratives: Slide Karaoke 2024

Get ready to wrap up a serious day of learning with a dash of humor, spontaneity, and friendly competition! SQLBits presents "Slide Karaoke" where SQLBits speakers reveal their hidden talents while vying for bragging rights. This session promises to be a one-of-a-kind experience that will leave you in stitches and awe, and the speakers scrambling for their non-existent notes!

Introducing your Databricks Flight Assistant

Buckle up for a high-flying adventure! Discover how to get your very own Co-Pilot like assistant in Databricks. With the Lakehouse Assistant, simply chat with it in English, and watch as it effortlessly crafts SQL queries and scripts, demystifies complex code, and even patches up errors, all while you gently cruise above the Lakehouse.

Air Traffic Control (Data Governance) with Databricks Unity Catalog, tips, tricks and best practices

The session is aimed at Platform Admin and Data Governance personas. It is a beginner session with no prerequisites. Audience will walk away with understanding about the data governance requirements of people, process and technology. Also how new capabilities in Unity Catalog can further simplify your data governance and accelerated analytics and AI initiatives on the lakehouse.