Strange Loop

Data Modeling for Developers

This session will look at why we model data, different schools of thought about how we model it, and steps organizations should take to improve awareness and findability of data models. We will practice modeling structured and semistructured data.

This is a beginner friendly workshop but will be easiest to grasp for those who have worked with structured, semistructured, and unstructured data.

Alexis McKenzie

Data Engineering Leader | Passionate Tinkerer| Teacher

Alexis is the Data Engineering Competency Lead at Daugherty Business Solutions, and she has worked on a variety of data engineering and DevOps projects over her career. She has had the pleasure of working with some truly brilliant technologists all over the country on projects that range from mining automation to advertising to plant genetics. Alexis has worked with and taught a variety of SQL and noSQL-based datastores as well as many programming languages and frameworks. Alexis' true loves are python, bash, and Terraform, but she is quickly coming to love scala nearly as much.

Susan King

Senior Principal, Data & Analytics - Daugherty Business Solutions

I have been working in the Data and Analytics space for over 20 years. My early experience was in more traditional data warehousing, ETL and data-intensive application development. In the past 4-5 years my focus has shifted to more modern data architectures with a focus on data engineering and building big data pipelines in the cloud.