How HealthVerity Automates Data Pipelines with Low Code

A modern data stack, designed and implemented well, gives organizations the flexibility they need to change data platforms, add applications, and migrate to the cloud. But data engineering and line of business teams struggle to modernize their data stack with traditional ETL methods. Organizations can meet these requirements by automating data transformations with low code.

Ilia Fishbein and Anfisa Kaydak, VP of Architecture and Data Engineering, respectively, at HealthVerity, knew they needed to transform their diverse healthcare data to make it easier for pharmaceutical companies to deliver data-driven innovations. This was no easy task, considering the various sources, formats, and incredibly large volumes coming in on a regular basis. The duo decided to implement Prophecy's fully-managed, low code data transformation platform on the Databricks Lakehouse. With its intuitive, visual UI, they were able to remove ETL complexity and enable easy collaboration across both technical and non-technical users. The result? HealthVerity significantly decreased the time it took to build pipelines (from 2-3 months to a single week) and lowered TCO — effectively, 3x more affordable than competitors.

Register to hear from HealthVerity and Eckerson VP of Research, Kevin Petrie and learn:

• Challenges with existing ETL methods and why organizations are adopting low code
• How Prophecy simplifies the development and management of data transformations for both technical and business data users
• The powerful impact of turning visual data pipelines into high quality code