How Metadata Improves Security, Quality, and Transparency
Metadata does more than simply describe data. Learn how metadata enables data discovery, boosts compliance and transparency, and makes data more valuable.
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Blog
Blogs, tutorials and case studies from our product experts and industry thought leaders to learn how to get the most out of your data.
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5 Key Components of a Data Sharing Platform
A data catalog can maximize the value of any data by enabling data sharing while strengthening data governance. Find out how.
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Data Management:
How a Data Catalog Enables Data Democratization
Data democratization lays the roadways for people to find, understand, and use data within their organization to make data-driven decisions.
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What is a Data Catalog? Value, Benefits, and Features
Find out how a data catalog can transform your organization’s decision making with more collaborative, intelligent, and secure data.
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Data Trusts: Building Trust with Centralized Data Access
As the amount of data being generated and used increases, data trust become a crucial framework to ensure transparency and trust within data.
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Introducing The Namara Enterprise Edition Tech Stack
Chris Sandison, Director of Engineering, provides an overview of the tech stack behind our latest product launch of the Namara Enterprise Edition.
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How to Build a Data Strategy - Part 1: The Data Audit
Conduct a data audit first to build a data strategy for your organization. Understand where you are, see the gaps and overlaps, and find a way forward.
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Data Management: Buy vs. Build
How do you cut spend but keep innovating? How can you keep data flowing in? In-house solutions might seem cheaper, but can cost you in the long run.
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Streamline Your Data Science with Namara
Discover how the Namara platform helps organizations use more data with more confidence and less overhead with the latest feature updates.
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ThinkData on Entity Resolution at TMLS 2019
See Data Scientists Hoyoung Jang and Cheng Lin speak on scaleable entity resolution at TMLS 2019.
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Refined Data is the Key to Train Machine Learning
Refined, standardized data is the key to train machine learning in order to achieve meaningful results.
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Adapt or Die: why your business strategy is failing your data strategy
Data projects are failing, but the problem isn't your data team – find out why business goals and data outcomes aren't lining up and what to do about it.
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