In addition to all the other great work he does for AIS and our clients, Nasir Mirza found the time to put together a comprehensive guide for programmers who wish to pursue AI/ML development. This guide provides practical guidance and examples for how to build a solid conceptual foundation and familiarity with data sciences related processes and frameworks. The Practitioner’s Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service Platform covers data science concepts, […]

About the Podcast I had the pleasure to once again be a guest on the .NET Rocks! podcast last month. This year marked my 11th time on the show! Carl, Richard, and I talked about how the cloud has changed data analytics. We discussed the latest data work at AIS and bringing a developer’s view to the approach. The cloud has changed bringing disparate data sources together for analytics. With the cloud’s compute-on-demand, you don’t need to do many transformations […]

Recently I was working on a project for a DoD client looking to move multiple, siloed on-premise data workloads to the cloud as part of an Azure capabilities proof of concept. The client needed to upload large amounts of data, create parquet files, perform ad-hoc analysis using jupyter notebooks, and make data available to query using SQL for a reporting dashboard. A single dataset was approximately a terabyte with all the data measured in petabytes. After completing the analysis, we […]

Introduction Configuration Data for DSC is somewhat analogous to configuration files in traditional applications; different environments can have their own Configuration Data file. The 2 main topics I will go over in this blog post is the use of Nodes in Configuration Data, and using multiple Configuration Data files. Nodes in Configuration Data A typical Configuration Data file looks something like this: AllNodes is the only required property; it is an array of Node objects. Each Node object must have […]