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Change Data Capture (CDC)
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Explore more → **Change Data Capture (CDC)**
What is Change Data Capture (CDC)?
Change Data Capture (CDC) is a set of software design patterns used to determine and track data that has changed in a database, so that action can be taken using the changed data. CDC is commonly used in data warehousing to extract, transform, and load (ETL) data from source systems into a data warehouse or data lake in near real-time.
What other technologies are related to Change Data Capture (CDC)?
Change Data Capture (CDC) Competitor Technologies
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Change Data Capture (CDC) Complementary Technologies
GCP Dataflow
GCP Dataflow can be used to process and transform data captured by CDC mechanisms, enabling real-time data pipelines.
Azure Synapse
Azure Synapse can be a target data warehouse for data replicated using CDC, providing a platform for analysis and reporting on near real-time data.
Databricks
Databricks can process and analyze data streams produced by CDC, enabling advanced analytics and machine learning on near real-time data.
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Which job functions commonly mention Change Data Capture (CDC)?
Data Architect
37 Data Architect jobs mention Change Data Capture (CDC)
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jobs on Sumble
Database Administrator
43 Database Administrator jobs mention Change Data Capture (CDC)
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jobs on Sumble
Data Engineer
110 Data Engineer jobs mention Change Data Capture (CDC)
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jobs on Sumble
Software Engineer
326 Software Engineer jobs mention Change Data Capture (CDC)
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jobs on Sumble
Engineer
333 Engineer jobs mention Change Data Capture (CDC)
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jobs on Sumble
Which organizations are mentioning Change Data Capture (CDC)?
Optum
Professional Services
Edward Jones
Professional Services
IBM
Professional Services
Magna International
Manufacturing
Paycor
Finance and Insurance
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