Get a 360-degree view of data sharing lineage with Azure Data Share and Purview
As companies embark on the journey to be data-driven, they need access to data both within and outside of their organization. It is critical to be able to share data easily and securely with external business partners and internally between different departments. Azure Data Share enables easy and secure sharing of files, folders, and databases with just a few clicks. Through the integration with Azure Purview, you can now have a 360-degree view of data sharing including what data is shared with or received from other organizations, which helps you perform impact and root cause analysis on your datasets.
Scenario 1: 360-degree view of data sharing
Whether you are sharing data with business partners or within your organization, you can see bi-directional sharing relationships in the Purview asset lineage graph. You can discover all the datasets that are shared to or received from a specific organization.
Scenario 2: Impact analysis on data shared with another organization
When you make a change to a dataset, such as changing the file format or the schema of a database table, it is important to know who is using that data and will be impacted by the change. Lineage lets you easily understand the impact of the downstream internal or external users who you have shared the data with.
Scenario 3: Root cause analysis for data received from other organizations
When troubleshooting a data issue, it is important to find out source of the data. Using lineage, you can identify where the data is originally coming from, and if it is from within or outside your organization.
Get started
It just takes a few simple steps to get data sharing lineage in Purview.
- Connect your Azure Data Share account to a Purview account
- Trigger scheduled or on-demand snapshots in Azure Data Share
- Browse and select an asset in Purview
- View the asset lineage in Purview
This quick demo shows the steps:
Resources
Connect to Azure Data Share - Azure Purview | Microsoft Docs
Published on:
Learn moreRelated posts
Data for now and next: Powering a new era of AI apps
The era of AI has arrived and the organizations that are primed for learning, adapting, and scaling quickly hold the power to transform human ...
Announcing the General Availability of AMD-based Confidential VMs on Azure Databricks
We are excited to announce the general availability of AMD-based confidential virtual machines (VMs) for cluster nodes on Azure Databricks. Co...
A Data Professional's Guide to Build 2023
ChatGPT and Microsoft Copilot are stealing headlines worldwide—but data is the force that drives them both. That’s why this year at Microsoft ...
Microsoft and Databricks deepen partnership for modern, cloud-native analytics
In May, we introduced the Microsoft Intelligent Data platform which deeply integrates our databases, analytics, BI and data governance product...
Introducing the Microsoft Intelligent Data Platform Partner Ecosystem
Microsoft Intelligent Data Platform Partner Ecosystem In May, we introduced the Microsoft Intelligent Data platform which deeply integr...
SQL DB maintenance activity using Automation accounts for Azure SQL DBs(Different scenarios)
Infrastructure: Multiple Azure SQL DB instances Multiple databases in total Multiple instances consist of multiple databases Different subscr...
Azure Data Share is now in GA!
Todays most successful organizations have one thing in common: they are tirelessly data driven at their core. The ability to easily and secure...
Scale your data sharing needs with the power of Azure Data Share’s .NET SDK
Azure Data Share, now a generally available service, makes it very simple to share your organization’s data securely with your partners. You m...
Share IoT and Log data in real time using Azure Data Share and Azure Data Explorer
In today's digital world, more and more data is generated from devices and software deployed at home and work. This could be data collected fr...
Azure Databricks Artifacts Deployment
This article is intended for deploying Jar Files, XML Files, JSON Files, wheel files and Global Init Scripts in Databricks Workspace. ...