Catalog
concept#Data#Analytics#Data Integration#Real-Time Processing

Change Data Capture (CDC)

Change Data Capture is a concept that captures changes to databases and processes them in real time.

Change Data Capture (CDC) enables the monitoring of changes in data and the immediate execution of updates.
Established
Medium

Classification

  • Medium
  • Technical
  • Design
  • Intermediate

Technical context

REST APIsETL ToolsDatabases like Oracle or SQL Server

Principles & goals

Real-time data should be captured immediately.Data integrity must be ensured.Simplicity of implementation is crucial.
Build
Enterprise

Use cases & scenarios

Compromises

  • Data loss due to incorrect configurations.
  • High maintenance effort for the system.
  • Dependency on third-party services.
  • Implement a comprehensive monitoring solution.
  • Regularly optimize database performance.
  • Train staff in handling new technologies.

I/O & resources

  • Database connection
  • Update policies
  • Monitoring tools
  • Updated records
  • Reports on data changes
  • Alert messages

Description

Change Data Capture (CDC) enables the monitoring of changes in data and the immediate execution of updates. This is particularly useful for data integration scenarios where data needs to be synchronized in real time.

✔

  • Quick data availability for decision-making.
  • Improved accuracy through real-time data.
  • Reduced data transformation costs.

✖

  • High implementation costs in large systems.
  • Potential performance loss with large data volumes.
  • Integration into existing systems can be complex.

  • Throughput

    The number of processed data changes per unit of time.

  • Latency

    The time taken to capture data changes and send them to the target system.

  • Error Rate

    The percentage of failed data changes.

Real-Time Analysis for E-Commerce

An e-commerce business uses CDC to monitor inventory data in real time and make adjustments.

CRM Data Management

A company implements CDC to immediately capture and display changes in customer data.

Financial Transaction Monitoring

A bank uses CDC to monitor all financial transactions in real time and quickly identify potential discrepancies.

1

Planning the data architecture.

2

Setting up the CDC features in the database.

3

Testing implementation and monitoring.

⚠️ Technical debt & bottlenecks

  • Outdated technology in infrastructure.
  • Lack of compatibility between systems.
  • Technical documentation gaps.
Performance bottleneck with high data volume.Challenges in ensuring data quality.Complexity in system integration.
  • Using CDC without appropriate security measures.
  • Insufficient testing prior to implementation.
  • Overloading the system with too many queries.
  • Ignoring data quality checks.
  • Lack of scalability options with increasing data volume.
  • Artificial separation of data streams.
Knowledge of database management systemsUnderstanding of data integration processesSkills in data analysis
Consider scalability of infrastructure.Understand data integration requirements.Evaluate real-time requirements of applications.
  • • Limited resources for implementation and maintenance.
  • • Necessity to comply with data protection regulations.
  • • Technological limitations of existing systems.