Power Query This option bears a great resemblance to what you might find in Power BI. The same engine that runs Power BI likely runs the Power Query plug‐in. The feature provides an interface for viewing the data from a selected dataset. You can then run through some transformation ideas and see how the data…
FIGUER 3.63 Azure Data Factory Author dataset A dataset is used as parameters for the source and sink configuration in a pipeline that contains a Copy Data activity. Pipeline The Azure Data Factory pipeline user interface is almost identical to the one in Azure Synapse Analytics. Pipelines are groups of activities that can ingest and…
A linked service is used as a basis for the creation of a dataset. INTEGRATION RUNTIMES Some activities, such as testing a linked service or dataset connection or pulling resources from a data source using the Preview Data option, require some compute power. This compute power is provided by IRs and comes with an associated…
The Mapping tab, as shown in Figure 3.59, provides a comparison of the source data to the target data structure. FIGUER 3.59 Azure Synapse Analytics Pipeline Copy data Mapping tab You have the option to change the data order, the column name, and the data type. This is a very powerful feature that can prevent…
When you drag a Copy activity into the pipeline editor canvas, you will see the properties of that activity. Then, when you click the Source tab, you will see something similar to Figure 3.57. Notice that the value shown in the Source Dataset drop‐down box is the one you created in Exercise 3.9. FIGUER 3.57…
The provisioning of an Azure data factory is straightforward. The one item you have not seen before was on the Advanced tab: the Enable Encryption Using a Customer Managed Key check box. As you might have read in the text on that tab, the data stored in Azure Data Factory is encrypted by default using…
The Azure Resource Manager (ARM) exposes many capabilities you can use to work with the Azure platform. One such capability is an API that allows client systems to send ARM templates to API.These ARM templates contain JSON‐structured configurations that instruct the ARM API to provision and configure Azure products, features, and services. Instead of performing…
FIGUER 3.52 Azure Synapse Analytics data integration dataset formats FIGUER 3.53 Azure Synapse Analytics data integration dataset linked service FIGUER 3.54 Azure Synapse Analytics data integration dataset properties Nothing in this exercise should be new to you, except perhaps Azure Files. For now, the provisioning of these Azure Synapse Analytics hub components is as far…
FIGUER 3.48 Azure Synapse Analytics Data SQL database In addition to creating tables, you can also create external tables, external resources, views, stored procedures, and schemas, and implement security. All the features and capabilities of an Azure SQL database or a dedicated SQL pool are found. These kinds of database incur costs when idle; consider…
If you will be writing code or queries to manage your data analytics solution running on Azure Synapse Analytics, you should consider storing them in a repository. Source repositories like Azure DevOps and GitHub provide features like protection of losing the code, storage of change history and branching. After spending hours, days, and sometimes precious…