Do you want to get started with Fabric notebooks but are afraid of code development? Don't worry, there is a tool designed so that transforming your data does not become your worst nightmare. Thanks to it and similar to PowerQuery, you will be able to apply different operations on your data with a couple of clicks, visualize the results live and have access to the code corresponding to your actions, so that you can learn from it and include it in your solutions.
In this talk, we will introduce one of the components of Fabric, Data Wrangler. To do so, we will introduce the development through notebooks and demonstrate how it works, showing its strengths and weaknesses through several use cases.
In addition, throughout the session, we will delve into code development differentiating between pandas and PySpark dataframes, the use of libraries for data manipulation and transformation as well as other related concepts.
Our goal is that the audience leaves with a solid foundation, knowing both the benefits and limitations of all possible approaches.
Don't let the lack of knowledge hold you back. It's wranglin' time!!!!