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Lightcast Skills Taxonomy

Data Discovery

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Data discovery is the process of exploring and analyzing data to uncover new insights and patterns. It involves using various techniques to identify relevant data sources, extracting and preparing data, and analyzing the data to generate ac...

Skills CategoryAnalysis
Skills SubcategoryData Science
Skills TypeSpecialized Skill
Specialized Tags-

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Alation Data Catalog

Alation Data Catalog refers to a data management tool that enables organizations to discover, understand, and govern their data assets. This skill involves the use of metadata management, data lineage tracking, and collaboration features to enhance data accessibility and usability across teams. Knowledge of Alation Data Catalog is applied to facilitate data-driven decision-making by providing users with insights into data sources, definitions, and usage patterns.

Amazon QuickSight refers to a cloud based business intelligence service used to create dashboards, reports, and data visualizations from multiple data sources. It is used in work settings to analyze trends, monitor performance, and present information in a clear format. It supports interactive exploration of data and the sharing of insights across teams for informed decision making.

Data blending is the process of combining data from multiple sources in order to create a more complete and insightful picture of a particular subject or situation. It involves a specialized skill set that includes the ability to understand and manipulate various data sources, as well as the ability to analyze and interpret data to find meaningful insights. Data blending is commonly used in data analysis, business intelligence, and other data-heavy fields.

Data Strategy refers to the comprehensive plan for managing, analyzing, and utilizing data to achieve organizational goals. This skill encompasses the identification of data needs, the establishment of data governance frameworks, and the implementation of data management practices. Knowledge of Data Strategy is used to align data initiatives with business objectives, enhance decision-making processes, and drive innovation through effective data utilization.

Schema Markup is a semantic vocabulary of tags (or microdata) that can be added to HTML to improve how search engines read and represent a webpage in SERPs. It involves understanding and implementing structured data to enhance SEO performance. Proficiency in Schema Markup requires knowledge of various schema types, ability to use schema generators, and understanding of how to embed the markup in website code. It also involves monitoring and troubleshooting schema implementations for optimal search engine recognition and user experience.

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This skill is part of the Lightcast Skills Taxonomy, a library of over 35,000 job related skills. It is the standard used by higher education institutions, public sector organizations and Fortune 500 companies around the globe.

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