In this edition, we’re exploring data relationships and how to make sense of them using Microsoft Fabric and the SemPy library. By the time you’re done with this, you’ll have a clear approach to mapping out your data, visualizing those connections, and making sure everything checks out. And because no dataset is perfect, we’ll also dive into validation - making sure your data is as solid as you need it to be.

In this edition, you'll learn how to transform your approach to big data using the powerful integration of Azure OpenAI, SynapseML, and Microsoft Fabric. You'll explore how Azure OpenAI acts as the brain for natural language understanding and generation, while SynapseML serves as the computational muscle for scalable machine learning. By the end, you'll be equipped with the knowledge and confidence to create AI-driven workflows that deliver actionable insights and drive impactful decisions.

In this edition, you’ll understand what Data Wrangler is and how it fits into your data preparation toolkit. Whether you’re an experienced analyst or someone stepping into the world of data, this read will equip you with practical knowledge to handle data preparation like a pro.

In this edition, you’ll gain an understanding of SemPy and its transformative role within Microsoft Fabric. Whether you're taking your first steps into semantic modeling or you’re a seasoned pro looking to streamline your workflow, this read is designed to meet you where you are and elevate your capabilities.

In this edition, I'm going to guide you through how to explore and visualize data using Microsoft Fabric notebooks. We'll start by understanding why this tool is so helpful for your workflow, then move on to how you can make use of its unique capabilities. By the end of this post, you'll know how to effectively use Microsoft Fabric notebooks to explore your data, visualize key insights, and streamline your data analysis process. Stick with me, and let's explore into what makes this tool a game changer for data professionals.

In this edition, I’ll walk you through why ingesting data into a Microsoft Fabric lakehouse matters, how Apache Spark plays a pivotal role in this process, and ultimately, how you can do it yourself. Whether you’re an experienced data scientist, data engineer or a data analyst wanting to expand your toolkit - this guide is for you.

In this edition, I aim to guide you through what exactly data science in Microsoft Fabric is, why it’s transformative, and how it could reshape the way you interact with data. Whether you're just starting out or you're a seasoned expert in the data field, there's something for everyone here.

This edition will help you unlock the potential of Microsoft Fabric by walking through the key components of a data science workflow. By the end, you'll not only understand the core elements of this platform, but also how to use it effectively.