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How to use data profiling data sources in azure data?


Asked by Marlee Matthews on Dec 01, 2021 FAQ



The Data Profiling feature of Azure Data Catalog examines the data from supported data sources in your catalog and collects statistics and information about that data. It's easy to include a profile of your data assets. When you register a data asset, choose Include Data Profile in the data source registration tool.
In fact,
A data profile in Azure Data Catalog shows table and column profile information including: Data profiling provides statistics and information about registered data assets to help you determine the suitability of the data to solve business problems.
Likewise, Because the data remains in its existing location, you incur no extra storage cost, and don't risk the integrity of your data sources. Also datasets are lazily evaluated, which aids in workflow performance speeds. You can create datasets from datastores, public URLs, and Azure Open Datasets.
In addition,
To register a data source, do the following: In the Azure Data Catalog portal, start the Data Catalog data source registration tool. Sign in with your work or school account with the same Azure Active Directory credentials that you use to sign in to the portal. Select the data source you want to register.
Furthermore,
Azure Data Factory is a broad platform for data movement, ETL and data integration, so it would take days to cover this topic in general. This hour webinar covers mapping and wrangling data flows. The presentation spends some time on Data Factory components including pipelines, dataflows and triggers.