Here at Sigao, we’ve been working with the Microsoft’s Dynamics platform for quite some time. We’ve often had situations where we have some custom action that we want to use to activate one of our custom plugins. Here, I’ll walk you through how to trigger one of your plugins automatically as a user progresses through a business process flow. The overall flow of this process is described below.
In this week’s roundup, we focus on articles that communicate the importance of employee engagement and how you can approach your team in ways that improve both engagement and self-organization. Employee engagement can be tough to define, so we will begin with an article that does just that; it defines Employee Engagement.
Getting things to done gets you faster feedback, generates value quicker, helps you to better estimate progress and helps your team prioritize effectively.
Teams must build engaging environments in order to attract skilled software engineers. These 4 ideas help you build an engaging development organization.
In this post, we analyze a Harvard Business Review article that provides input into a team’s “definition of done” by looking at military thinking.
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In studying communication and candor, I’ve come across the notion of “strong opinions, loosely held” as a foundation for candor. Lately, I’ve heard this concept
In the final post of this series, we will integrate Azure Search into our DocumentDB collection and allow users to search our Jeopardy Questions in our app.
In part two of our series, we will use Angular and Electron to connect to an Azure DocumentDB repository through a .Net Core API.
The concept of NoSQL or schema-less databases refers to systems that store data in a schemaless fashion using some form of document notation such as JSON. Examples of NoSQL databases include: MongoDB, CouchDB, RavenDB and, as we will discuss in this post, Azure DocumentDB.
In this series, we will be creating an application that allows users to quickly browse and search a repository of over 200,000 jeopardy questions. We will use Azure DocumentDB as a data repository, Azure Search to implement full text search functionality and will use AngularJS and Electron to create a desktop client that users can use to browse these questions.