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Data Catalogs and Metadata Management

Data Catalogs

Data catalogs improve data discovery and availability, enhance data governance and compliance, ensure data quality and consistency, and facilitate data collaboration and sharing. This allows our customers to manage their data assets better, make informed decisions, and support a data-driven culture.
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How to Leverage Data Catalogs for Enhanced Data Discovery, Governance, and Collaboration?

According to C&F, implementing a data catalog is critical to innovative data architecture. Prioritizing metadata management ensures high data quality and improves usability by centralizing metadata, including data provenance, data quality, and usage statistics. A key element we emphasize is creating a user-friendly interface that enables data to be found and reduces access to the time spent searching for data quickly. Equally important is seamless integration with existing tools and systems to ensure platform data management. Our customers significantly improve data discovery, management, quality, and collaboration.

Improved data discovery and accessibility

Make it easy for users to discover and access relevant data quickly. Increase productivity so data analysts can spend more time analyzing than searching for data.

Increased data quality and consistency

Improve data consistency by making it easier to integrate and analyze data from different sources to make data used for analysis and decision-making accurate, consistent and reliable.

Facilitated data collaboration and sharing

Ensure seamless collaboration and data sharing between different departments and teams in the organization, and foster a data-driven culture by making it easier for users to share data assets and insights.

Streamlined data integration and interoperability

Ensure seamless data integration and interoperability between different systems and platforms to make them easily accessible and usable across applications by clearly understanding data structures and relationships.

In my experience, implementing a data catalog presents several technical challenges. The primary one is managing voluminous metadata, which is complicated, especially with diverse data sources. We use automated metadata extraction and classification tools to ensure consistency and reduce manual effort. Another is to provide seamless integration with existing data management systems and support different data formats. That's why we use middleware solutions, API gateways to facilitate integration, and ETL tools to manage data format transformations. Defining and enforcing consistent data management policies across the organization is also essential. Therefore, we implement role-based access control (RBAC) to manage data access.

Overview

Data catalogs are an inventory of data assets that help improve data quality, discovery, and data governance within an organization. For example, most organizations store their data in data warehouses, however this can be difficult to access and use. An enterprise data catalog provides an overview of that data to make it easier for data consumers, data users, data scientists, and data engineers to find, trust, and use that data. By improving data access, data catalogs promote collaboration and support a data-driven culture within an organization. They also make it easier to integrate data from different data sources, helping improve data quality and consistency.

Experts in the field

Piotr Drozd
Senior Director
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See Technologies We Use

At the core of our approach is the use of market-leading technologies to build IT solutions that are cloud-ready, scalable, and efficient. See all
OpenMetaDataAPI
Microsoft Purview
Informatica Enterprise Data Catalog
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Collibra
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