Marktechpost
MARCH 12, 2024
Even among datasets that include the same subject matter, there is no standard layout of files or data formats. This obstacle lowers productivity through machine learning development—from data discovery to model training. Database metadata can be expressed in various formats, including schema.org and DCAT.
IBM Journey to AI blog
DECEMBER 16, 2022
An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.
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OCTOBER 25, 2023
But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly.
IBM Journey to AI blog
JANUARY 18, 2023
The concepts will be explained. Data lakehouse: A mostly new platform. Data fabric promotes data discoverability. Here, data assets can be published into categories, creating an enterprise-wide data marketplace. This enables access to data at all stages of its value lifecycle.
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