Explain the CDC process in databases and Informatica.
A specialized question about Change Data Capture techniques for data replication.
Why Interviewers Ask This
CDC is vital for real-time data integration. This question checks deep knowledge of ETL processes and data synchronization strategies. It is important for senior roles dealing with data warehousing or integration projects.
How to Answer This Question
Define CDC as tracking data changes. Explain methods like logs, triggers, and timestamps. Describe how Informatica uses CDC for incremental extraction. Discuss benefits like reduced load time and real-time updates. Mention potential challenges like handling schema changes.
Key Points to Cover
- Definition of CDC
- Methods of change detection
- Informatica integration specifics
- Efficiency benefits
- Real-time data sync
Sample Answer
Change Data Capture (CDC) identifies and extracts only the data that has changed since the last run, enabling efficient replication. In databases, this is done via transaction logs, triggers, or version columns. Informat…
Common Mistakes to Avoid
- Confusing CDC with full backup
- Ignoring performance implications
- Not explaining detection mechanisms
- Overlooking schema evolution issues
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