Ginger Grant
Ginger Grant shines as a Data Platform MVP, offering top-notch consulting in the realms of advanced analytics, machine learning, data warehousing, and the intricacies of Microsoft Fabric. Not just a consultant, Ginger is a prolific writer, sharing her insights through articles as a regular columnist for Pure AI, books, and on her blog, DesertIsleSQL.com. Her mastery doesn’t stop there; as a Microsoft Certified Trainer (MCT), she imparts wisdom in various data platform areas, including Microsoft Fabric, Azure Synapse Analytics, Python, and Azure Machine Learning. Ginger’s blend of expertise and educational contributions makes her a beacon in the data community.
Ginger Grant's Sessions
How changes to Azure Synapse Analytics impact data architecture designsSQLBits 2023
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 data environment.
How to pick the best Data transformation strategySQLBits 2023
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.
Moving away from One Model to rule them allSQLBits 2022
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 groups of users and examples of how to implement different types of technology to provide a broader set of solutions using Azure Synapse, Data lakes and Power BI.
SQL Server Internals and Configuration for RSQLBits 2017
Learn how to configure SQL Server 2016 for running R. The individual components and executables installed with R on SQL Server will be explored to understand the internal interactions and processes involved.
How changes to Azure Synapse Analytics impact data architecture designsSQLBits 2023
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 data environment.
How to pick the best Data transformation strategySQLBits 2023
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.
SQL Server Internals and Configuration for RSQLBits 2017
Learn how to configure SQL Server 2016 for running R. The individual components and executables installed with R on SQL Server will be explored to understand the internal interactions and processes involved.