Share On

Metadata is the additional information on any data. Metadata is not only used for document files but also for videos, images, webpages, and spreadsheets. For example, Metadata for webpages includes meta descriptions, and keyword linkages termed as metatags. Metadata creation can be either manual or automated.

The different types of metadata are descriptive, structural, and administrative metadata. Descriptive metadata includes keywords, heading, author, and abstract appended for the sole purpose of digital identification. Structural metadata describes the components of a digital object assembled together. On the other hand, administrative metadata gives the ability to manage and preserve resources and manage resource accessibility. It is one of the crucial element of data-warehousing and XML-based web applications.

Importance of Metadata Cataloging in Research

White Paper By: Data In Science Technologies

Leveraging the DataLogger for Metadata Cataloging establishes a singular view of the meaningful attributes for your data and identifies access rights to this data. Data in Science Technologies is proposing the concept of a central Data Catalog called DataLogger, analyzes identified data sets and extracts the metadata into a searchable catalog. Read this informative whitepaper to learn...

Data Center Infrastructure Management Enables You to Maximize IT Infrastructure Value

White Paper By: Panduit

The technological platforms such as cloud, big data, telecom industry, and social media are engaging towards better customer service, workforce collaboration, and cost efficient means. It is essential to address the maximizing of IT infrastructure and the efficiency of physical data centre in order to intelligently monitor the availability of resources. The Data Center Infrastructure...

Data Diversity and Cutting-Edge Insight For Sales And Marketing

White Paper By: Aberdeen Group

Today, the challenge for many organizations is that the variety of data needed for many innovative analyses is often locked away within other functional areas. Even with the inherent value in traditional customer applications, presently most compelling insights are actually derived by combining multiple different types of disparate data. This whitepaper focuses specifically on the sales...

Data Visualization: Creating Impactful Reports

White Paper By: DataFactZ Solutions

Data visualization is an effective way to create impactful reports, dashboards that improve decision making, enhanced ad-hoc data analysis, better information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is an essential component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. This white paper...

Disaster Recovery as a Service (DRaaS) in the Cloud

White Paper By: FalconStor

Disaster Recovery as a Service (DRaaS) is a smart solution when you have a limited budget. With DRaaS, you can virtualize your data and keep a current copy of your data in the cloud – on which ever cloud service provider you choose. This whitepaper is intended as a guideline for customers planning to deploy a DRaaS cloud solution. It provides a brief overview of latest technology,...

Meshing Big Data and the Cloud

White Paper By: RM Dayton Analytics

Can High Volume and Velocity Big Data Applications Run Successfully on a Cloud Platform? Some of the world’s largest companies are mothballing their behemoth in-house applications running on massively parallel processing databases in favor of cloud platforms.  Whether on premise or off, you need to align the right set of skills when deploying big data in the cloud. Read this...

follow on linkedin follow on twitter follow on facebook 2018 All Rights Reserved | by: www.ciowhitepapersreview.com