Ontotext

MARCH 19, 2021

way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card. This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for.

Metadata 124

Metadata Enterprise Publishing Management 124

erwin

OCTOBER 4, 2021

Metadata management is essential to becoming a data-driven organization and reaping the competitive advantage your organization’s data offers. Gartner refers to metadata as data that is used to enhance the usability, comprehension, utility or functionality of any other data point. How the data has changed.

Metadata 52

Metadata Software Management Visualization 52

Octopai

NOVEMBER 28, 2019

This visual aspect is the key to the usefulness of any large and complex data landscape. The key to data lineage is metadata: – Physical location of the data. Learn more about automated data lineage in our white paper “Metadata Blending: Automating Data Lineage Views”. How Data Lineage Works.

Visualization 54

Visualization Metadata Data Warehouse Reporting 54

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. The cube, supported by automated metadata management , allows you to report on cross-sections of the data and its history and context within minutes.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

erwin

SEPTEMBER 10, 2020

As I mentioned above, the three Vs of data and the integration of systems makes it difficult to understand the resulting data web much less capture a simple visual of that flow. Metadata management and manual mapping are a challenge to most organizations. Who are the data owners? What are the transformation rules?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

erwin

JUNE 27, 2019

Ability to visualize business and technical database structures through an integrated, graphical model. The chosen data modeling tool should be able to read the technical formats of each of these platforms and translate them into highly graphical models rich in metadata. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81