What is an ADF connector?
What is an ADF connector?
Azure Data Factory (ADF) is a cloud-based data integration solution that offers 90+ built-in connectors to orchestrate the data from different sources like Azure SQL database, SQL Server, Snowflake and API’s, etc.
What is ADF data flow?
Data Flow is a new feature of Azure Data Factory (ADF) that allows you to develop graphical data transformation logic that can be executed as activities within ADF pipelines. The intent of ADF Data Flows is to provide a fully visual experience with no coding required.
What is parameters in Azure data Factory?
Mapping data flows in Azure Data Factory and Synapse pipelines support the use of parameters. Define parameters inside of your data flow definition and use them throughout your expressions. The parameter values are set by the calling pipeline via the Execute Data Flow activity.
What is sink in Azure data Factory?
A cache sink is when a data flow writes data into the Spark cache instead of a data store. In mapping data flows, you can reference this data within the same flow many times using a cache lookup.
How do I attach ADF to Snowflake?
Create a linked service to Snowflake using UI
- Browse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New:
- Search for Snowflake and select the Snowflake connector.
- Configure the service details, test the connection, and create the new linked service.
What is snowflake in Azure?
Snowflake on Azure is architected to run on Azure, leveraging Azure compute and storage infrastructure services for data storage and query processing. To achieve scalable, highly performing data access, Snowflake stripes customer data across many storage accounts in Azure.
How do you run data flow in ADF?
Execute Data Flow Activity in ADF V2
- Select the Azure Integration Runtime to define the region location of the ADF compute you’d like to use for the data flow execution.
- Choose the compute type.
- Select the Core Count to determine how many scale-out cores of Spark that ADF should use to execute your Data Flow.
What is control flow ADF?
ADF control flow activities allow building complex, iterative processing logic within pipelines. Set Variable: Set Variable activity can be used to set the value of an existing variable of type String, Bool, or Array defined in a Data Factory pipeline. …
What is parameters in ADF?
You can use parameters to pass external values into pipelines, datasets, linked services, and data flows. Once the parameter has been passed into the resource, it cannot be changed. By parameterizing resources, you can reuse them with different values each time.
What is dataset in ADF?
According to the ADF documentation: A dataset is a named view of data that simply points or references the data you want to use in your activities as inputs and outputs.
What is a sink ADF?
Azure Data Factory (ADF) is a platform or a service that allows developers to integrate various data sources. Once you transform the data, you can sink it into the necessary destination. You need to perform at least one sink transformation for every data flow.
What are activities in ADF?
There are two types of activities that you can use in an Azure Data Factory or Synapse pipeline. Data movement activities to move data between supported source and sink data stores. Data transformation activities to transform data using compute services such as Azure HDInsight, Azure Batch, and ML Studio (classic).