erwin

JUNE 26, 2020

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. Each card or listing contains information about a book or publication (e.g., Technical Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Ontotext

OCTOBER 12, 2023

LLMs] call into question a fundamental tenet of Data Management: that in order to address non-trivial information needs, the first step is to explicitly structure data in order to lift them from the ambiguous swamp of our human language. He also reminded us all about his wonderful book , available online with open access.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 102

Statistics Data Lake Optimization Data-driven 102

AWS Big Data

MARCH 25, 2024

This dynamic integration of streaming data enables generative AI applications to respond promptly to changing conditions, improving their adaptability and overall performance in various tasks. To better understand this, imagine a chatbot that helps travelers book their travel. versions).

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

Ontotext

SEPTEMBER 7, 2023

There’s a quote I use from Scott Taylor’s book, “Anybody who has data has data problems.” Anybody who is using more than one set of data sources to do anything to serve their end customer could benefit from using knowledge graphs. So, the use cases here are endless. Doug : That’s what I see.

Technology 59

Technology Visualization Digital Transformation Management 59

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 120

Unstructured Data Metadata Management Analytics 120

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. The RDF data model and the other standards in W3C’s Semantic Web stack (e.g.,

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124