
Demo-ing a 3-step OLTP database replication to data lake tables
OLTP databases are a key source of data for analytics. Many CDC tools land database changes in a cloud object storage but can’t automatically provide and maintain query-able tables.Upsolver’s new CDC capability comes with unique features such as:
- A simple 3 step flow to build the replication pipeline
- UPSERT support for replica consistency
- Stateful transformations
- Automatic table optimization
- Dynamic table split based on key field
- Schema evolution handling
- Rewind and replay data
This talk will cover
- Popular methods for database replication
- The challenges with replicating a database into data lake tables
- What Upsolver CDC offers that’s new and exciting
- A live demo of Upsolver CDC in action
Topics Covered
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Guides
What Is a Data Lakehouse?
The data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.
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Whitepaper
Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse
The adoption of data mesh as a decentralized data management approach has become popular in recent years, helping teams overcome challenges associated with centralized data architecture.
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