Moving On-Premises Data Science Workloads to Azure *
Microsoft Azure provides a wide array of services that neatly combine to run various data science workloads at scale in the cloud, including Azure Cognitive…
Agile using Azure Boards & Azure
DevOps in 2023
Discover how the Agile methodology, Azure Boards, and Azure DevOps can be tightly integrated to help teams to work more efficiently and effectively! Agile project…
Implementing Data Analytics in an Enterprise using Power BI and Azure
Description: In this day and age, data is more valuable than gold. For information to be useful, it must be transformed into knowledge. Whether you…
The Two Biggest Challenges of Enterprise Data Analytics using Power BI in 2023
Description: Are you prepared to face the Enterprise Data Analytics challenges in 2023? The Microsoft Power BI platform has a lot to offer. Small-scaled shops…
Why you should implement API Lifecycle Management
API Management is a multi-faceted process of designing and implementing solutions that help organization expose their internal system APIs for external/public consumption in a secure…
Getting Started with No-Code/Low-Code Applications using Microsoft Power Platform
Description: This 3-hour session introduces the Microsoft Power Platform, and provides an overview of what it is and how it can help provide value by…
Using Blazor to Create Enterprise Web Applications
Blazor is an open-source, Single Page Application, and client web app framework from Microsoft. It is similar to other JavaScript frameworks and libraries, such as…
Meeting your Cloud Data Integration Needs with the Power Platform
Microsoft’s Power Platform offers several useful capabilities for putting your organization’s core business data to work within the cloud. With features such as automated data…
Building a Model-Driven Power App
Are you still using spreadsheets to manage critical business data? Have you looked at various software packages but found they didn’t quite “fit” your requirements?…
Querying Transactional and Analytical Databases using SQL, MDX, and DAX
Transactional databases (aka OLTP) are optimized for a high volume of transactions, such as insert, update, and delete. They’re mostly used by data-entry applications. Analytical…