Difference between revisions of "Data orchestration"
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Data orchestration is a term used by [[information technology|IT]] professional how they put together data in the overall lifecycle of: | Data orchestration is a term used by [[information technology|IT]] professional how they put together data in the overall lifecycle of: | ||
#Data Processing: including Data Extraction, Transformation, Load (ETL) as well as [[Machine Learning]]. | #Data Processing: including Data Extraction, Transformation, Load ([[Technical Term::ETL]]) as well as [[Technical Term::Machine Learning]]. | ||
#Data Security: including the management of [[access right management]], [[password distribution and management]], and other data security-related activities. | #Data Security: including the management of [[access right management]], [[password distribution and management]], and other data security-related activities. | ||
#Data Deployment: including the process of data delivery and data provisioning services. | #Data Deployment: including the process of data delivery and data provisioning services. | ||
One may watch a short video explaining the task of '''Data Orchestration''': | One may watch a short video explaining the task of '''Data Orchestration''': | ||
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Latest revision as of 11:30, 13 January 2024
Data orchestration is a term used by IT professional how they put together data in the overall lifecycle of:
- Data Processing: including Data Extraction, Transformation, Load (ETL) as well as Machine Learning.
- Data Security: including the management of access right management, password distribution and management, and other data security-related activities.
- Data Deployment: including the process of data delivery and data provisioning services.
One may watch a short video explaining the task of Data Orchestration:
|https://www.youtube.com/watch?v=iyw9puEmTrA%7C%7C%7C%7C%7C%7C}}