Ginger Grant

Want to move beyond theory and actually embed AI and automation into your Microsoft Fabric workflows? This session shows how to turn AI’s promised productivity gains into disciplined, repeatable practices you can implement immediately in Microsoft Fabric. We will walk through how to set up an...

AI isn’t getting a free pass for just answering questions anymore, it’s time to start putting it to work with Agentic AI. In Microsoft Fabric, this shift comes to life through Fabric IQ and Data Agents. Together, they form a practical, enterprise-ready foundation for completing tasks with your...

Fabric includes multiple layers of security across OneLake. This session breaks down RBAC, sharing permissions, shortcut behaviors, Semantic model Row Level Security and OneLake security and shows how they interact in real-world architectures.

Jump start your understanding of AI with this crash course in everything you need to know to start using AI every day for many different purposes.. Data professionals need this information and this session was designed for you, not for an app developer.

Businesses today want well designed databases which can be used not only by applications but are part of an analytical solution which allows people to interact visually with the data in reports.

Developing Machine Learning solutions for deep data analysis has never been easier than inside of Microsoft Fabric. Compared to other Spark based solutions, Spark starts quickly, is simple to configure, and incorporates Copilot magic and other open-source solutions.

Jump start your understanding of AI with this crash course in everything you need to know to start using AI every day for many different purposes.. Data professionals need this information and this session was designed for you, not for an app developer.

In this all-day session we will be doing a deep dive into using Azure Synapse Analytics to create an analytics solution using the different components of Azure Synapse and visualize data with Power BI.

Explore the changes that have been made to Azure Synapse Analytics and how this has changed it’s use over time. We will review how these feature additions have impacted the methods used for transforming, storing, and querying data so that you can evaluate whether it would be a good fit for your...

Combining data from multiple sources can be performed using a number of different tools including Azure Synapse Integration/Azure Data Factory, Spark and Power BI Data Flows. We will explore which tool or combination of tools to select to best match your data environment.

A data warehouse is a method for providing a single source of truth, but there may be issues on relying on just one model as it does not meet the needs of all users or all types of data. In this session we will explore how to build a data environment which provides flexibility to different...

Databricks is a very popular environment for developing data science solutions. More and more companies are interested in Databricks as it is very simple to set up and contains a collaborative workspace for working with a team of people.

Azure Machine Learning Studio, Workspace, Pipeline and Service are different products which you can use to create or deploy a solution and they are all called Azure Machine Learning[ AML].

Worried about performance when processing a Data Lake or other large data store? Need to develop in a collaborative environment and visualize the results in Power BI?