Prophecy Data Transformation Copilot for Data Engineering

Learn Databricks and Spark data engineering to deliver self-service data transformation and speed pipeline development

Created by: Mei Long
Founding member, Product at Prophecy

Created by: Richard Marcus

Created by: Anya Bida
Product Contributor, Prophecy.io

Created by: Maciej Szpakowski
Co-Founder & CTO @ Prophecy

What Will I Learn?

• Learn and design the data lakehouse paradigm for a e-commerce company
• Hands-on lab environment is provided with this course
• Implement and deploy a medallion architecture using Prophecy running on Databricks
• Understand Apache Spark and its best practices with real-life use cases
• Share and extend Pipeline components with data practitioners and analysts
• Deploy Pipelines to production and CI/CD and best practices
• Utilize version control and change management in data engineering
• Deploy data quality checks and unit tests

Requirements

• No programming experience needed. You will utilize low-code UI to build a real-life data implementation

Target audience

• data engineers, data scientists, data analysts, data architects, data leads, data engineering leads