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Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud
book

Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud

by Mark Kromer
August 2022
Beginner to intermediate
204 pages
4h 54m
English
Apress
Content preview from Mapping Data Flows in Azure Data Factory: Building Scalable ETL Projects in the Microsoft Cloud
Index
A
Address dataset
addressIdUnique
adf_publish
ADLS Gen2 dataset
Aggregate
Aggregate transformation
Alter Row transformation
Arrays
Assert
Assert transformation
AutoResolve IR
Avro format
AzureBlobStorage1
Azure data factory (ADF)
artifacts
collaboration branch
concepts
data flows
data flow expression language
data preview pane
expression language
Git to the DataOps world
interpretation
live mode
and Mapping Data Flows
monitoring view
overview
parameterization
pipelines
Publish branch
resources
schedule trigger
service
storage events triggers
trigger now option
tumbling window trigger
pipeline
Azure DevOps (ADO)
Azure Functions
Azure integration runtime
Azure portal
Azure SQL Database
B
Blob storage account
Body.properties.periods
Bookbranch
Boolean expression
Branch
Broadcasting
Business ...
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Publisher Resources

ISBN: 9781484286128Purchase LinkPublisher Website