Microsoft Fabric and PySpark: Coding tricks to improve your solutions

PySpark has some unconventional syntaxes which provide power to the development process, making it easier.

Exploring Time Travel and Row Level Concurrency: Data Engineering with Fabric

Learn how updates and concurrency can work in Fabric with Delta Parquet data.

Delta Table Performance Is Governed By Transaction Size: Data Engineering with Fabric

This next article examines the impact of transaction sizes on the performance of our Delta Parquet tables.

Am I on Synapse?

Microsoft Fabric: Using Lakehouse data in Real Time Dashboards

Real-Time dashboards are a great feature in Real Time Intelligence experience to monitor our data. However, by default ...

Synapse Analytics History III

Microsoft Fabric Warehouse Security: Object-Level, Column-Level and Row-Level

Learn about object-level, column-level, and row-level security in Microsoft Fabric Warehouse and how this can be implemented to limit access to data.

A New and Improved Data Warehouse: Data Engineering with Fabric

In this next installment, John performs the research you might do if your management asked you to examine Fabric.

Level 2 of the Stairway to Synapse Analytics: Analyze Data in Storage Account using the Serverless SQL pool

In this second level of the Stairway to Synapse, we learn how to create external tables and query data that is stored in our data storage using the serverless pool.

Microsoft Fabric: Moving Dataflows Gen 2 to different workspaces

Let’s see the steps needed to move a dataflow from one workspace to another. For a matter of example, let’s consider the dataflow access a lakehouse on the Dev environment. When copied to the Test environment, the new copy needs to be linked to a new dataflow in the Test environment.