Case Study: REsurety streamlines energy data ETL and analytics with Diceus

REsurety runs ongoing ETL development with Diceus since June 2021

REsurety, a leading analytics company in the clean energy economy, needed to extract and structure massive, rapidly-updating data sets from various sources for its data science analysts. They partnered with vendor Diceus to develop ETL processes and data modeling to efficiently prepare this big data for risk management and project portfolio work.

Diceus developed custom ETL processes from scratch using Python, SQL, and AWS to transform data into structured formats in Snowflake tables. The solution provided REsurety with a continuous data flow, which reduced expenses on AWS services, decreased the time required for data uploading, and improved overall data quality and accuracy for their analysts.

REsurety