Business Intelligence

Aggregate tables are a powerful mechanism to deliver PDTs that are subsets of a parent explore. Engineered correctly, one can craft these to position it to scale to one’s data needs, positioning the practitioner to ensure efficiency and cost-optimization in the data platform, while also enhancing the customer experience in delivering timely, fast visualizations. Harness has and will continue to utilize aggregate tables to eliminate choke points in query processing to continue to provide a best-in-class customer experience in Custom Dashboards.

Over the past few years, I've engaged in numerous conversations with Engineering Teams and Engineering leaders, leading me to identify several myths surrounding engineering intelligence. Let's debunk these myths one by one.

A Hub & Spoke Looker architecture positions Harness to continue to provide best-in-class custom dashboard services for our customers. With this new modular architecture, code quality will increase and development times will be cut, resulting in faster shipment of feature requests and bug fixes.