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Change Data Capture in Azure Data Factory
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Azure Data Factory (ADF) is a fully managed cloud service built for petabyte-scale data ingestion, transformation, and orchestration at scale, providing data engineers with a familiar and productive environment for authoring their data integration pipelines and data flows for large-scale code-free transformations.
We’ve recently announced the public preview of a new top-level resource in Azure Data Factory. With this update, Change Data Capture (CDC) becomes much easier to enable in your factory. This new resource provides a guided click-through experience to build a source-to-sink mapping(s) with transformations in under a minute. Once set up, changes in your data source(s) will be automatically detected and schema mapping is automatic with fuzzy matching. Users do not need to learn ADF concepts like pipelines, data flows or triggers due to the simple configuration of an always-running resource.
Join this session to learn more about this new feature and how you can leverage continuous, full fidelity change data capture in ADF.
[eventID:18474]
We’ve recently announced the public preview of a new top-level resource in Azure Data Factory. With this update, Change Data Capture (CDC) becomes much easier to enable in your factory. This new resource provides a guided click-through experience to build a source-to-sink mapping(s) with transformations in under a minute. Once set up, changes in your data source(s) will be automatically detected and schema mapping is automatic with fuzzy matching. Users do not need to learn ADF concepts like pipelines, data flows or triggers due to the simple configuration of an always-running resource.
Join this session to learn more about this new feature and how you can leverage continuous, full fidelity change data capture in ADF.
[eventID:18474]
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