talk-data.com

Power BI on Databricks Best Practices

Want to supercharge the house part of your lake house? This session will cover best practices of building visualization using Power BI on top of Databricks SQL in terms of performance, security and different architecture patterns.

Hi, I am Liping, Data & AI Solution Architect, ex-Microsoft, I specialize in Big Data Analytics, Data Engineering, Data Warehousing and Business Intelligence. In addition to helping customers build out data platforms and solving real-world problems using data

I am also a blogger (https://www.dataleaps.co.uk), YouTuber (https://www.youtube.com/@dataleaps), international public speaker (https://www.sessionize.com/lipinght).

Follow me on socials https://linktr.ee/liping_dataleaps for career in data content & Data & AI tutorials.

When: Thursday 29th August 2024

Time: arrive from 5:30pm with talks starting from 6pm start prompt Location: GM Digital Security Hub (DiSH) Heron House, 47 Lloyd Street M2 5LE

Session will not be streamed over MS Teams Complimentary drinks & pizza provided by our hosts & sponsors Robert Walters

August's #PBIMCR will feature: Liping Huang & Ben Wolfenden

Session 1 - Liping with "Best practice for Power BI on Databricks" Want to supercharge the house part of your Databricks lakehouse? This session will cover best practices for building visualization using Power BI on top of Databricks SQL in terms of performance, security and different architecture patterns for batch and streaming.

Session 2 - Ben with "Intro to Delta Lake in Fabric"

Discover the powerful capabilities of Delta Lake in Microsoft Fabric in this talk. Learn about Delta Lake's key features, including ACID transactions, scalable metadata handling, and data versioning (time travel), and see how these can enhance your data workflows. Gain practical insights on integrating and utilizing Delta Lake within Microsoft Fabric to optimize your data lakehouse architecture.

About Speaker 2 Ben is a Head of Data Engineering with several years of Azure data experience. Strong interest in Lakehouse + Kimball architecture and building data solutions to enable powerful AI/ML products to improve business efficiency and enhance customer offerings.