Setting up Security Enter for IoT is easy!
Passing the AI-100 Exam
I recently passed the AI-100 Certification Test from Microsoft and wanted to take the opportunity to discuss my experience studying…
Building a Data Quality Management Process that Scales : Data Quality Playbook
The system that is proposed here is a repeatable process loop that moves from initial data ingestion to the final staging of data in a trusted layer or data warehouse. The process is made up of four distinct phases with their own milestones and deliverables – in other words, any observer will know when a phase is done or not done based on deliverables, goals met, and quality metrics satisfied.
Why I’m Devoting the Rest of My Career to the Concept of Data-Driven Organizations
I’m still working on the Data Quality posts. They will happen. I’m in the process of actually implementing this with…
Building a Data Quality Management Process that Scales : Data Quality Metrics
I recently completed a guide for a client related to creating data quality metrics. It’s an interesting problem to tackle,…
Building a Data Quality Management Process that Scales : Data Quality or Intelligence Quality?
How does an organization go about determining data quality? What are the first steps in an overall process to achieve…
Building a Data Quality Management Process that Scales : The Many Paths to Quality Data
This post describes an opinionated method for achieving data quality within a small organization. There are some pre-qualifiers and assumptions…
The Proof of Concept
One valuable tool I wish I had realized was at my disposal earlier in my career is the proof of…
A Daily Loop
Around three years ago I found myself managing a team of Mulesoft developers. This was a big leap for me.…
Hello World!
Hi, I’m Shawn and I’m a developer. I write code. Sometimes that code runs on mobile devices, sometimes it runs…
Shawn Deggans 