Use the Data Virtualization service to easily join data from different sources in one
unified view, without manual changes, data movement, or replication.
The Data Virtualization service is a part of the data
fabric.
Overview
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With Data Virtualization, you can access physical data from multiple sources through a single
semantic virtual layer. This virtual layer means that the data can be accessed, manipulated, and
analyzed without the need to know its physical format or location, and without having to move or
copy it.
Data Virtualization is part of the data fabric.
Prerequisites
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If you want to publish your virtual data to a governed catalog, you must install IBM
Knowledge Catalog. For more information, see IBM Knowledge Catalog on Cloud Pak for
Data.
Required service
Data Virtualization.
Before you can virtualize your data, you must create and deploy a
service instance of Data Virtualization in Cloud Pak for Data as a Service. For more information, see Provision a service
instance for Data Virtualization.
To start using Data Virtualization, follow these high-level steps:
Open the Data Virtualization service.
In the Cloud Pak for Data navigation menu, select
Data > Data
virtualization.
Add your data sources to Data Virtualization.
Navigate to the Data sources page and then select Add
connection to add connections. Data Virtualization supports dozens of relational and
nonrelational data sources.
Virtualize the tables from the data source.
In the Virtualize page, select the tables that you want to virtualize and
then select Add to cart > View
cart to virtualize the tables.
Join the tables to create a unified view.
In the Virtualized data page, select the tables that you want to join and
then select Join to join the objects.
Query the virtual objects.
Navigate to the Run SQL page to query your virtual objects using the built
in SQL editor.
Consume the data using other Cloud Pak for Data services
in the data fabric.
Consume virtual tables in projects, dashboards, data catalogs, and other applications. For more information, see Dashboard
services.
Watch the following video for an overview of Data Virtualization.
This video provides a visual method as an
alternative to the written documentation.
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