Ontotext

FEBRUARY 19, 2020

Today, as the number of decision-makers recognizing the importance of more dynamic, contextually aware and intelligent information architectures is growing, so is the number of companies with solutions based on knowledge graphs. Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding.

Modeling 90

Modeling Knowledge Discovery Data Quality Technology 90

Ontotext

AUGUST 31, 2023

Knowledge graphs are large networks of entities representing real-world objects, like people and organizations, and abstract concepts, like professions and topics, and their semantic relations and attributes. An ontology enriches data within a knowledge graph with context and meaning that humans and computers can interpret.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

JULY 29, 2021

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. Providing a formal unified conceptual model, ontologies enable unified access to and correct interpretation of diverse information and greatly facilitate analytics, decision making and knowledge re-use.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Domino Data Lab

JUNE 15, 2021

This definition makes UDFs somewhat similar to stored procedures, but there are a number of key differences between the two. Advanced data wrangling and preprocessing pipelines A Java UDF can use a wider range of techniques for data cleansing, feature engineering, and mode advanced preprocessing, compared to what is available in SQL.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69