Elena Canorea
Communications Lead
In today’s data-driven landscape, managing and leveraging data effectively is crucial for any organization.
Purview’s Unified Data Catalog is designed to help companies achieve comprehensive data governance, ensuring that data is secure, compliant, and valuable. We take a look at what the Data Map feature is and how to implement it in your organization.
Purview Data Map lays the foundation for data discovery and governance. It captures metadata about those already present in analytics, SaaS, and operating systems in hybrid, on-premises, and multi-cloud environments.
This map is kept up to date by its integrated scanning and classification system, and all Microsoft Purview accounts have a data map that starts with a unit of capacity and can grow elastically.
Data Map is composed of two parts: metadata storage and operations performance, which are represented as a unit of capability (UC).
This component includes the storage of technical, business, operational, and semantic metadata:
Operations measure the performance of the data map, which includes: operations to create, read, write, update, and delete metadata stored in the map.
These operations may include: creating an asset in Data Map, adding a relationship to an asset, editing an asset to add business metadata, keyword search, etc.
In the platform, there is a set of roles that are managed at the Domain, Collection, and Data Source level:
In addition, all roles can be adjusted to the required level of the organizational hierarchy.
Data Map is becoming a critical component that enables organizations to discover, classify and understand their data landscape. By providing a visual representation of data assets across the enterprise, it helps users locate and manage data efficiently.
As such, it facilitates federated governance, enabling centralized policy development and self-service access and maintenance.
It supports a wide variety of data sources, ensuring complete coverage of an organization’s data estate, with the following benefits:
Therefore, by supporting multiple data sources, Data Map allows you to comprehensively map your organization’s data landscape, regardless of its location. This translates into better data governance, improved data quality, and more efficient data management.
Ensuring data quality is essential for reliable decision-making and AI-based insights. Purview offers robust capabilities that help organizations assess and improve the quality of data assets. By leveraging these data quality concepts, high-quality standards can be maintained, ensuring that data is accurate, complete, and consistent.
It is best to start with a data map of as little as one unit of capacity, which automatically scales with load. For most organizations, this feature translates into greater savings and a lower price to initiate data governance projects.
Meanwhile, with enhanced scanning and ingestion, the population of data assets, their classification, and lineage can be tracked and controlled during the scanning and ingest processes.
In short, Data Map offers a unique opportunity for customers to start their data governance process.
Data quality and emerging technologies.
Implementing a comprehensive data quality framework ensures a reliable foundation for your information systems, fostering confidence in your data and the decisions derived from it. That’s why at Plain Concepts, we offer you a Data Adoption Framework to become a data-driven enterprise.
We help you to discover how to get value from your data, to control and analyze all your data sources, and use data to make intelligent decisions and accelerate your business:
We will formalize the strategy that best suits you and its subsequent technological implementation. Our advanced analysis services will help you unleash the full potential of your data and turn it into actionable information, identifying patterns and trends that can inform your decisions and boost your business.
Extract the full potential of your data now!
Elena Canorea
Communications Lead
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