SCD tracks changes in data over time, providing a historical record. It's analogous to tracking changes in email addresses over the years, maintaining a history of all previous addresses.
CDC captures and records changes to data in real-time, similar to a personal assistant notifying you of every email address change. It provides immediate updates on data modifications.
In essence, SCD maintains a historical perspective on data, while CDC focuses on real-time updates. Both are valuable for ensuring data accuracy and providing up-to-date information for decision-making.
Slowly Changing Dimensions (SCD) and Change Data Capture (CDC) are two important concepts in the #data world. But what do they really mean, and how do they differ from each other? It is also a question asked in data engineering interviews. So, let’s discuss.
SCD is like trying to keep track of the email addresses we create over the years. Just like how we change email addresses, the data also changes over time. SCD helps us keep track of these changes in a way that makes sense and allows us to understand the history of our data.
CDC, on the other hand, is like having a personal assistant who tells us every time we change our email address. It’s a process that captures and records any changes made to the data and sends us updates in real-time.
In a nutshell, SCD is like keeping a historical record of the data, while CDC is like getting real-time updates on any changes made to that data. Together, these two concepts help ensure that the data is correct and up-to-date so that the team can make decisions based on accurate information.
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