An interview with Krishna Subramanian about how Komprise is addressing the challenge of managing unstructured data assets across operating environments without losing your sanity.

An interview with Kevin Kho about the open source Fugue framework for abstracting away the execution engine for your Python data workflows so you can write it once and run it anywhere.

An interview with Guy Yachdav about the work that he and his team are doing at ImmunAI to help researchers and scientists understand the immune system through data and machine learning.

An interview with Matthew Forrest about using SQL to build your spatial analysis workflows so that they are more maintainable and uniform

An interview with Privacy Dynamics lead engineer Will Thompson about useful strategies for managing data privacy in your shared data sets.

An exploration of the macroscopic and microscopic themes and details that are useful for new and experienced data engineers to know in order to grow their careers.

An interview with Matt Harrison about how to write effective pandas code for scalable and maintainable data processing logic that can be understood by other members of your team.

An interview with Abhi Sivasailam about his work at Flexport to design and implement a data mesh solution that relies heavily on data contracts to provide a stable interface that teams can implement f

An interview with Ashish Mrig about his career in data engineering, his experiences managing data teams at Wayfair, and the technical considerations that factor into platform design decisions in large

An interview with the founders of Anomalo about how they are using statistical machine learning systems to automate the detection and diagnosis of data quality issues that occur in your data warehouse