You’ve started scanning, classifying, and discovering the data at your company with Azure Purview. You’re now ready to engage with Azure Purview Data Insights - you can now assess data usage across your company with specific insights for data catalog administrators, data stewards, data officers, compliance and security officers. In Azure Purview Data Insights, you will gain access to important, eye-opening details about data residing in on-premises, multi-cloud and SaaS apps.
Azure Purview Data Insights creates a bird’s eye view across your data estate and allows you to drill into report data and take to understand your data, govern your data, govern your data glossary, and address anomalies in your data estate from inside the Azure Purview experience. Data officers and security officers can answer questions through Azure Purview Data Insights such as: what data does your company have, where is your company’s data, what classification of data is held within a data asset, what is the sensitivity of data in an asset, and how is my data estate changing over time. Let’s look at the Purview Data Insights reports you can check out right away!
Azure Purview Data Insights
Azure Purview Data Insights can be found by navigating to the Insights icon.
Asset insights provides a panoramic view across the data estate managed by Azure Purview. This experience offers insights into the progression of data assets including how many data sources have been scanned, how many assets were discovered, and how many discovered assets were classified. You can select a system- or user-defined classification and view the distribution of assets by source type, for the classification. For example, below shows the distribution of assets classified as ‘Email Address’. With View more, you can also see the top 5 folders containing the filtered classification.
For file-based assets (Azure Blob, ADLS Gen 1 and ADLS Gen 2), Asset Insights enables a deeper look into size and file type trends, as well as files not associated with resource sets. This enables you to quickly identify anomalies in data assets. For instance, if you have a specific resource set pattern for your ADLS Gen 2 account, use the “Assets without Resource set” graph to identify files that do not follow the resource set pattern. Asset Insights allows you to drill down and contact the asset owner to address the anomaly.
To learn more, visit Asset Insights documentation
Scan insights provides a view of scan progress across the last 30 days. This allows you to gain insights about scans and understand when scans are failing. Scanning sets the stage for the additional insights. With View more, you can see scan names by count of successful, canceled, and failed scans. If you want to drill deeper, Insights can help you navigate to scan history to see exactly when the scans were run with a failed, canceled, or successful outcome.
To learn more, visit Scan Insights documentation
A glossary provides a vocabulary for business users to manage business terms attached to assets. Glossary Insights enables you as a business user, to understand total terms in the glossary, count of approved and expired terms and understand the usage of terms applied to assets. Glossary Insights also helps business users complete their glossary by showing terms with missing experts or stewards. With View more, you can see which terms are missing information and you can navigate to Glossary to remediate immediately.
To learn more, visit Glossary Insights documentation
Classification insights help you understand the types of information found in your organization’s data estate, and where classified data is located. In Azure Purview, classifications are used to identify content of a specific type in your data estate.
Classifications insights showcase what set of assets contain sensitive information types like Credit Card information, SSNs and email addresses were found. .Use the report to identify data with specific classifications and understand required actions, such as adding additional security to the repositories, or moving data to a more secure location.
To learn more, visit Classification Insights documentation
Microsoft Information Protection sensitivity labels Insights
Microsoft Information Protection sensitivity labels enable you to classify and protect your organization's data, while ensuring user productivity and their ability to collaborate isn't hindered. With Azure Purview, you can now extend these sensitivity labels to your Azure assets and gain insights into the state of your data. Sensitivity labels insights provide you an overview of the sensitivity labels applied in your data estate, as well as a drilldown to the labeled files and databases.
To learn more, visit Sensitivity label insights documentation
File Extensions Insights
After scanning your assets, Azure Purview will detect the file types found in your data estate and provide you with details about each file type as part of File Extensions Insights report. Use the report to identify how many different file types you have, how many files of each type are found, where those files are, and whether they can be scanned for sensitive data or not.
To learn more, visit File extension Insights documentation
Filter for Close-up Insights
Each set of Insights offers you the ability to filter to dimensions that help you understand your data estate. Use the time, source type, file type, classification category, and classification to customize the report. Please read about these concepts in the documentation here
Azure Purview data insights offers a wealth of information to help you understand your data. From the panoramic view across your data of Asset Insights to in-depth view to act on specific assets to understanding the sensitivity of data with Classification Insights and Sensitivity Labels.
Create an Azure Purview account today and start understanding your data supply chain from raw data to business insights with free scanning for all your SQL Server on-premises and Power BI online.
Read more about Azure Purview
Have a question? Check out our Frequently Asked Questions
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.