Map Source Data to Senzing Format
Understand how to map source data to Senzing format using the 5-stage AI-assisted workflow. Learn the structured, repeatable process that ensures accurate, production-ready mappings.
Transform Your Data Operations in Hours, Not Months
ACCELERATE YOUR ENTITY RESOLUTION SKILLS
In this hands-on workshop, you'll learn how to leverage AI tools like Amazon Q Developer to map, load, and explore your data with Senzing entity resolution using a structured, repeatable workflow that delivers production-ready results.
Join us to empower your team with best practices for secure, scalable, and future-ready data transformation.
What You'll Take Away From This Bootcamp
Understand how to map source data to Senzing format using the 5-stage AI-assisted workflow. Learn the structured, repeatable process that ensures accurate, production-ready mappings.
Know how to automatically generate mapper code and documentation that is ready to implement immediately, reducing manual effort and accelerating your workflow.
Learn to validate mappings using proven Senzing tools both before and after mapping to ensure accuracy and consistency.
Be able to load mapped data and analyze entity resolution outcomes for your datasets, ensuring reliable insights and improved operational efficiency.
Walk away confident in using the Senzing Mapping Assistant workflow for your own data sources, enabling repeatable, scalable entity resolution processes.
Dive deeper into your entity resolution outputs to identify patterns, troubleshoot anomalies, and validate that your mappings produced accurate, actionable insights.
You should have:
About Ths Bootcamp
Virtual instructor-led training.
A laptop with Python installed
Access to the provided sample Python mapping code (sent upon registration).
<4 hours