In this webinar, Hamish is demystifying the concepts of DevOps and we will look at two aspects of DevOps – Continuous Integration & Continuous Delivery.
Category Archives: User Group
Do you want to learn more about Power BI? Power BI is easy to get started with but so many are unsure about how to make it really enterprise-friendly.
Do you want to learn more about Azure Data Factory? Would you like to know if it will replace SQL Server Integration Services? Trying to understand the difference between Pipelines, SSIS and Mapping Data Flows? If so, this is the perfect session for you as it will answer these questions and more.
Do you want to learn more about Azure Data Factory? Would you like to know if it will replace SQL Server Integration Services? Trying to understand the difference between Pipelines, SSIS and Mapping Data Flows? If so, this is the perfect session for you as it will answer these questions and more.
Do you want to learn more about Azure Data Factory? Would you like to know if it will replace SQL Server Integration Services? Trying to understand the difference between Pipelines, SSIS and Mapping Data Flows? If so, this is the perfect session for you as it will answer these questions and more.
In this session, we will go through some of the fundamentals of machine learning models, discuss when these models are appropriate to use, and go through a demo of how to create a basic model in Azure Machine Learning Studio.
In this session, Henry will address the disruption that is being experienced in the data management sphere and how a DBA can look at the options they have to apply their skills to this new world.
In this session, Henry will address the disruption that is being experienced in the data management sphere and how a DBA can look at the options they have to apply their skills to this new world.
This session will help you get familiar with SQL Server Machine Learning Services. We will go over its components and features, and understand how it brings data scientists and developers closer. As an example, we will build a Predictive Model using R and SQL Server Machine Learning Services.
As data professionals, we need to aim towards the most efficient way of provisioning production data to non-production environments while remaining compliant with data protection regulations.