| Hi there, 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. Data leadership 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. In a live webinar on March 9th, HealthVerity’s VP of Architecture and VP of Data Engineering join Eckerson Group VP of Research Kevin Petrie and Prophecy Co-Founder Maciej Szpakowski to explain: Why future-forward companies choose to build automated, low-code data pipelines now instead of using traditional ETL methods How pairing Prophecy’s fully-managed, low-code data transformation platform with the Databricks Lakehouse Platform shrank from 2-3 months to just ONE WEEK the amount of time HealthVerity’s data engineering team spends building pipelines The best ways to easily turn visual data pipelines into high-quality code How intuitive, visual data pipeline UIs make it faster and easier for technical and non-technical users to collaborate |
