Greg Beaumont's Data & Analytics Blog

What if you could combine decades of historical analysis with live, real-time data in one seamless AI chat experience?

Slow and inefficient Power BI reports are a widespread cause of low customer satisfaction, bloated costs, wasted compute capacity, and increased total cost of ownership.

When working in the field of data and analytics, have you ever heard concerns about maintaining a single source of truth?

For the past two years I’ve been working with my colleague Inder Rana to build out a GitHub repo that can be leveraged by Fabric users for training and testing purposes.

Figure 2.0 – Snowflake and Fabric / Power BI integration options Back in September I published an article reviewing options for sharing lakehouse format data amongst Fabric, Snowflake, and Databricks.

We are currently experiencing a generational surge in AI use cases and transformation.

For many years, SQL Saturday conferences around the world have provided fantastic educational opportunities for professionals specializing in Microsoft tools such as Fabric, Power BI, and SQL Server.

This post examines strategies to reduce data duplication and enhance performance by enabling shared access to data at rest across Snowflake, Databricks, and Microsoft Fabric.

I have been collaborating with my colleague Inder Rana on a GitHub repository for an end-to-end Microsoft Fabric solution for some time, as it provides a simple means to learn about Fabric with real open source healthcare data.

I’ve been sharing insights on data technologies through blogs, videos, and podcasts for over 15 years.