1. What is the purpose of tracking
records for regulatory compliance?
- Tracking records for regulatory
compliance ensures that every insert or update operation to the target
tables is documented.
- This is crucial for businesses to provide
transparent audit trails, satisfy regulatory requirements, and understand
data changes over time.
2. What data needs to be tracked for
regulatory compliance?
- Typically, data that must be tracked
includes:
- Insert
operations:
When new records are added to the target table.
- Update
operations:
When existing records are modified.
- Compliance
metadata:
Such as the Job Id, Job Name, timestamp, and operation type (Insert or
Update).
3. How can tracking be implemented
without using slowly changing dimensions (SCD)?
- Instead of using slowly changing
dimensions, you can create a separate tracking table (with a
"_RGG" suffix) for each target table. This tracking table stores
the same data as the target table, along with additional
compliance-related columns. These tables can be populated directly from
the integration layer during ETL processing.
4. What should be included in the
tracking table?
- A tracking table should include:
- All
columns from the target table.
- Additional
compliance-related columns:
- Job
Id:
Unique identifier for the job executing the operation.
- Job
Name:
Name or description of the ETL job.
- Timestamp: Date and time when the
operation occurred.
- Operation
Type:
Indicates whether the operation was an Insert or Update.
5. When should the tracking table be
populated?
- The tracking table should be populated
after the target table has been updated (i.e., after Insert and Update
operations). This should occur before the end of the Integration Knowledge
Module (IKM) to ensure accurate tracking and compliance data.
6. How does the Oracle Incremental
Update IKM handle tracking?
- In the Oracle Incremental Update IKM,
tasks for inserting and updating records in the target table should be
followed by tasks that insert corresponding records into the tracking
table. These tasks should include the necessary compliance metadata (Job
Id, Job Name, timestamp, operation type).
7. How can I ensure the tracking
data is secure?
- To secure tracking data:
- Limit
access to tracking tables by using role-based security or user access
controls.
- Implement
encryption to protect sensitive data within the tracking tables.
- Ensure
that only authorized personnel can view or modify the compliance-related
records.
8. How do I review the tracking data
for auditing?
- Periodically, you can:
- Run
reports or queries to review the tracking data.
- Check
the compliance metadata (Job Id, Job Name, timestamps) for accuracy and
completeness.
- Use
auditing tools or dashboards to monitor the tracking data and flag any
discrepancies or missing records.
9. What is the benefit of using a
"_RGG" tracking table instead of modifying the target table?
- Using a separate "_RGG"
tracking table allows you to maintain a clean target table without
affecting its structure. This approach also provides a clear audit trail
of all operations (inserts and updates), making it easier to comply with
regulatory requirements without modifying the target data.
10. Can I track operations on
multiple target tables?
- Yes, you can track operations on multiple
target tables by creating a corresponding tracking table for each one,
following the same structure and process outlined. Each tracking table
will store records of the operations performed on its corresponding target
table.
11. What happens if the tracking
table is not populated correctly?
- If the tracking table is not populated
properly, the organization could face compliance issues, as it would lack
the required audit trail for insert and update operations. This can result
in penalties or challenges during regulatory audits. It's essential to
implement robust error handling and monitoring to ensure the tracking data
is accurate.
12. Can tracking records be used for
historical analysis?
- Yes, the tracking records can be used for
historical analysis. By keeping detailed logs of insert and update
operations, business analysts can query historical data changes to
understand trends, investigate anomalies, or trace data lineage.