Remove Analysis Remove GDPR Remove Metadata Remove Unstructured data
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Do I Need a Data Catalog?

erwin

The data catalog is a searchable asset that enables all data – including even formerly siloed tribal knowledge – to be cataloged and more quickly exposed to users for analysis. Three Types of Metadata in a Data Catalog. Technical Metadata. for analysis and integration purposes). Operational Metadata.

Metadata 132
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The Impacts of Data Loss on Your Organization

Security Affairs

Structured data is highly valuable for generating reports, performing statistical analysis, and gaining insights into operational efficiency. Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. MetaData: Metadata refers to data about data.

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Integrating Structured and Unstructured Data; Are we there already?

Everteam

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

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Why a governance foundation is vital for cloud data platforms

Collibra

Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions. They are also collecting a greater variety of data (including structured, semi-structured and unstructured data) that is difficult to describe via a single schema.

Cloud 81
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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool. Perform impact analysis.

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The real ROI on data is just beginning

Collibra

To begin to answer these questions, it’s instructive to look back at the history of data and data analysis. A short history of data. Data and the analysis of data has a long history that dates back centuries, even millenia. The Egyptians recorded data on papyrus to track commercial transactions.