Two New Shortcuts for Fabric Lakehouse Developers: The Fabric Modern Data Platform

This next articles gives you a few quick ways to access data in remote storage.

Leveraging DuckDB for OLAP Workloads: The Fabric Modern Data Platform

This next article in the Fabric Modern Data Platform looks at DuckDB, an analytical database platform designed for analytics

Faster Data Engineering with Python Notebooks: The Fabric Modern Data Platform

In this next article on the Fabric Modern Data Platform, we use the Polars library in Python to improve our data engineering.

Using Python notebooks to save money in Fabric: The Fabric Modern Data Platform

In this next article, we look at how notebooks using Python can be cheaper than Spark notebooks.

Metadata Driven Pipelines (Incremental Load): The Fabric Modern Data Platform

This article will use the incremental data load pattern to load data in our raw zone tables.

Fabric Mirroring

Configuring the On-Premises Data Gateway: The Fabric Modern Data Platform

In this next article on the Fabric Modern Data Platform, we examine setting up an on-premises gateway.

How Microsoft Fabric Is Reshaping Data Value

The data professional’s world is changing and I know you hear this from me in editorials, blogs posts and social media, but it’s the truth. With the rise of Microsoft Fabric, we’re not just seeing another platform shift; we’re witnessing a redefinition of how data is valued, governed, and protected across the enterprise. Fabric isn’t […]

Managing Fabric Lakehouse objects with the new CLI: Data Engineering with Fabric

In this next article, we are going to explore how to install, configure and use the command line to manage a couple different Fabric Lakehouse’s.

Parameterize Connections in Microsoft Fabric Data Factory using Variable Libraries

Building pipelines in Microsoft Fabric can be complicated, and it's easy to write code that is hard to maintain. Using parameters in your connections helps to build pipelines that are easily configured.