Building change data capture (CDC) pipelines in Upsolver SQLake Step 1 – configuring the CDC client Step 2 – staging CDC events Step 3 – model, transform and merge There is much more to data preparation In s
Learn how to synchronize data across systems using CDC (Change Data Capture). Explore different CDC implementations and technologies for practical scenarios.
Processing a change data feed: Keep only the latest data vs. keep historical versions of data Examples of SCD Type 1 and Type 2 processing with DLT Drawbacks of using MERGE INTO and foreachBatch for change data capture Change data capture (CDC) is a data integration pattern that captures...
In many of the examples in this chapter, we will use a schema named OLTP, which represents a part of the operational database. In the following example, the DBA uses the CREATE_CHANGE_TABLE procedure to capture the changes to the columns from the ORDERS table in the OLTP schema. The nex...
Figure 1-1.The sharply decreasing value of data over time (source:The Half Life of Data, Nucleus Research, January 2017) Examples bring research findings like this to life. Consider the case of a leading European payments processor, which we’ll call U Pay. It handles millions of mobile, ...
Change Data Capture (CDC) is exactly what it sounds like: capturing only the changes. Not full tables. Not yesterday's copy of everything. Just the deltas — inserts, updates, deletes — the meaningful stuff. Here's the idea: CDC watches your source system, sees what changed, and repli...
Discover how Change Data Capture (CDC) enables real-time data syncing, improves efficiency, and powers modern data pipelines with minimal overhead.
Example: SCD type 1 and SCD type 2 processing with CDF source dataThe following sections provide examples of DLT SCD type 1 and type 2 queries that update target tables based on source events from a change data feed that:Creates new user records. Deletes a user record. Updates user ...
Although the AutoLog source database and AutoLog staging database can be the same, this arrangement is rarely used. AutoLog examples in this chapter assume that the source and staging databases are different. Change Tables A given change table contains the change data resulting from DML operations...
The following examples assume familiarity with configuring and updating DLT pipelines. SeeTutorial: Build an ETL pipeline using change data capture with DLT. To run these examples, you must begin by creating a sample dataset. SeeGenerate test data. ...