From MongoDB to Snowflake:
Ingesting document-based application data using CDC

MongoDB (including Atlas) is the most popular NoSQL database for storing application data. MongoDB stores data as semi-structured JSON-based documents which are difficult to use for analytics and BI without lots of manual parsing, unnesting and restructuring to fit a well-formed SQL data model.

Watch this recorded webinar to learn how to move and restructure collections and documents from MongoDB into Snowflake data cloud. You’ll see how Upsolver’s unique Change Data Capture (CDC) ingestion technology makes data movement easy to set up and operate by automating the unnesting, column and data type mapping from documents to SQL schemas.

Key topics that will be covered:

• How to set up MongoDB change streams
• How to connect and configure Upsolver to replicate collections from MongoDB
• How to add in-line transformations to flatten and restructure MongoDB Documents
• Explore Upsolver’s automatic schema evolution and data type mapping
• Explore the built-in data observability dashboard to monitor health, freshness and uptime of the data being ingested

Join us as we dive deep into the challenges and solutions for replicating MongoDB data to Snowflake.

About your presenter – Jason Hall is a Senior Solution Architect at Upsolver. With over 15 years of industry expertise, Jason has successfully tackled diverse challenges in companies of all sizes, from startups to large corporations.