Tag Archives: Azure

Naming conventions are one of the most dull and unflattering things about IT Operations, but a well-designed convention can make your life much easier.

Azure Devops offers a great pipeline feature for automating the build and release process. After we realized Microsoft’s hosted agents took more time than we wanted to gather all the required assets for our build, we decided to investigate building our own agents to run the process (Microsoft offers the ability to host your own agents). Since we use .NET Core for most of our projects, we can’t use Azure

We’re getting started on a new project using a graph DB on Microsoft’s Cosmos DB, so we want to set up a process for Cosmos DB deployment automation. We use Azure Resource Manager Templates for automating our Azure resource deployment. This post assumes you have previous experience with ARM templates, Gremlin, and Cosmos DB in general, so we’ll jump straight into some of the quirks that popped up in our

I’m excited to have the opportunity to speak at SQLSaturday #652 in Atlanta, GA on July 15, 2017. SQLSaturday #652 will be my fourth SQLSaturday to speak at, and I’m loving getting engaged with the SQL community through SQLSaturday and PASS (a not-for-profit organization that supports data professionals who use the Microsoft Data Platform).  SQLSaturday Atlanta is a large event with over 60 sessions and a host of wonderful speakers from all over. Topics will range from the administration and maintenance of SQL server to indexing and advanced T-SQL all the way to topics like mine, CosmosDB and NoSQL databases.

In this post, I highlight the first Sigao Studios Academy video, a new YouTube offering from Sigao Studios. In this video, I summarize CosmosDB’s Graph API. CosmosDB uses Apache’s TinkerPop and its Gremlin language to add graph database functionality to its massively scalable data as a service offering. TinkerPop can be found in a host of other graph systems including Blazegraph, ChronoGraph, Hadoop Giraph and others. Its powerful graph traversal language, Gremlin, allows you to quickly traverse a database and derive information from the underlying data.

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.

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.