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…
Category: DATA EXPLORER POOLS
Create a Linked Service in Azure Data Factory – Data Sources and Ingestion
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…
Configure an Azure Synapse Analytics Integrated Dataset – Data Sources and Ingestion
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…
Configure Azure Synapse Analytics Data Hub SQL Pool Staging Tables – Data Sources and Ingestion
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…
MANAGED PRIVATE ENDPOINTS – Data Sources and Ingestion
In Exercise 3.3 you enabled managed virtual networking during the provisioning of the Azure Synapse Analytics workspace. This feature enables you to configure outbound workspace connectivity with products, applications, and other services that exist outside of the managed virtual network. When you click the Managed Private Endpoints link, you will see some existing private endpoints….
Configure an Azure Synapse Analytics Workspace Package – Data Sources and Ingestion
FIGUER 3.42 Adding a workspace package in Azure Synapse Analytics FIGUER 3.43 Consuming a workspace package in Azure Synapse Analytics Configuring the workspace is a very powerful aspect of the platform. As long as your custom code runs with the default installed comments, you can run just about any computation. You are limited only by…
Design Analytical Stores – Data Sources and Ingestion
Before reading any further, ask yourself what an analytical store is. If you struggle for the answer, refer to Table 3.2, which provides the analytical datastores available in Azure, as well as the data model that works optimally with those products. Table 3.1 provides a list of different ingestion types mapped to the most suitable…
Manage – Data Sources and Ingestion
The Manage hub includes the enablers to provision, configure, and connect many Azure Synapse Analytics features to other products. From the creation of SQL pools to the configuration of GitHub, read on to learn about each possibility. Analytics Pools When you run a SQL script in Azure Synapse Analytics Studio, some form of compute machine…
AZURE PURVIEW – Data Sources and Ingestion
Azure Purview was introduced in Chapter 1. Azure Purview is very useful for governance, data discovery, and exploration. Keeping tabs on the data sources you have and what they contain is key to being able to securely manage them. There will be more on this in Chapter 8, which discusses data security and governance. When…
Type 2 SCD – Data Sources and Ingestion
This SCD type provides a means for viewing historical records of the value prior to an update. This is commonly called versioning. Notice the columns in the top dimension table of Figure 3.16. The SK_ID column is a surrogate key, which is an internal key that identifies the version history of a unique dimensional member….