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

Amazon S3
Data Lake Storage


Ori Rafael

Ori Rafael

Ori Rafael is co-founder and CEO of Upsolver, the only no-code data lake engineering platform. He has more than 15 years of experience in databases, data integration and big data. Before founding Upsolver he held a variety of technology management roles in the Israeli Defense Force (IDF) elite technology intelligence unit.

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