Online Events

Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time

Real-Time Big Data Systems with Spark Streaming and Kafka

ONLINE LIVE STREAMING

Oct 11 - Oct 12, 2022

By: Jesse Anderson

Practical Guidelines for Designing Modern Data Architectures

ONLINE LIVE STREAMING

Oct 13 - Oct 14, 2022

By: Rick van der Lans

Creating Data Products in a Data Mesh, Data Lake or Lakehouse for use in Analytics

ONLINE LIVE STREAMING

Oct 17 - Oct 18, 2022

By: Mike Ferguson

Centralised Data Governance of a Distributed Data Landscape

ONLINE LIVE STREAMING

Oct 19 - Oct 20, 2022

By: Mike Ferguson

Understanding DataOps to Deliver Analytics Better and Faster

ONLINE LIVE STREAMING

Oct 21, 2022

By: John O'Brien

Agile Data Science 2.0

ONLINE LIVE STREAMING

Oct 24 - Oct 28, 2022

By: Russell Jurney

Artificial Intelligence, Machine Learning and Data Management

ONLINE LIVE STREAMING

Nov 03 - Nov 04, 2022

By: Derek Strauss

User Experience Design

ONLINE LIVE STREAMING

Nov 07 - Nov 10, 2022

By: James Hobart

Designing, developing and deploying a Microservices Architecture

ONLINE LIVE STREAMING

Nov 11, 2022

By: Sander Hoogendoorn

Free article of the month

July 2022

Upcoming events by this speaker:

November 14-15, 2022:
Taxonomy and Metadata Design

Taxonomy Uses

As volumes of content and information management needs have grown, so has the interest and need in taxonomies. Taxonomies are controlled and structured lists of terms used to tag content so that it can easily be retrieved. Taxonomies can be found in library research databases, ecommerce websites, enterprise content management systems, intranets of organizations, and many other areas. While information management technologies have expanded in areas of artificial intelligence and machine learning as applied to text analytics and text mining, the value of taxonomies has not decreased, but, in fact, has increased.

Functional Uses of Taxonomies
Taxonomies serve as an intermediary to connect users to content, whereby the taxonomies are tagged to content at the back end (whether manually or by auto-tagging technologies based on natural language processing or machine learning) and are interacted with by users at the front end. There are different ways that taxonomies may serve end users. Digital information taxonomies were originally created only for information retrieval, but innovations and trends in digital content and data have given rise to additional uses for taxonomies, such as to support recommendation, personalization, data-centric enterprise knowledge management, voice-of-the-customer analysis, chatbot design, etc.

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