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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

17 years later, in the third edition of The Semantic Web for the Working Ontologist , authors Dean Allemang, Hedler and Gandon covered these same perspectives with one distilled explanation: The Semantic Web faces the problem of distributed data head-on. We can’t imagine looking at the Semantic Web as an artifact.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

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. Existing preprocessing, data ingestion, and data quality processes can be converted from Java/Spark into Java UDFs.