RESEARCH & RESOURCES


Upcoming Webinars

TDWI On-Demand Webinars on Data Management, Analytics, & AI

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

GDPR: What It Means for Analytics and Data Management

View this special TDWI Webinar and learn what steps your organization needs to take to ensure GDPR compliance throughout its analytics, BI, and data management processes.

David Stodder


Ask the Expert: Demystifying Semantics and Ontologies
TDWI Members Only

In this Ask the Expert webinar, Ted Hills will answer your questions about semantics and ontologies, explain the increasingly significant role they are playing in modern data architecture, and explain how you can get started in this fascinating and value-rich field.

Ted Hills


Six Strategies for Balancing Risk with Data Value

In this TDWI webinar, we’ll consider data value and intelligence in the context of compliance.

Philip Russom, Ph.D.


Building Trusted Data Through Deep Profiling and Analysis with Machine Learning

This webinar focuses on how machine learning and other analytics techniques can be used to ensure better data outcomes.

Fern Halper, Ph.D.


Applying the Power of AI to Data Catalogs: How artificial intelligence can make it easier for users to share knowledge and collaborate

Join this TDWI Webinar to learn how AI-powered data catalogs can enable your organization to stem the tide of data chaos and better manage and govern self-service analytics, BI, and data preparation. Smarter, more visual data catalogs can increase users’ speed to insight and confidence in their ability to share knowledge and collaborate on data and analytics.

David Stodder


Modernizing Your Data Pipeline for Better Analytics

The data pipeline is an important part of the analytics ecosystem. This pipeline provides the pathway and processes from data ingestion through movement, cleansing, transformation, loading, integration, preparation, and enrichment of data for analysis. The modern data pipeline involves real-time processing of disparate data, often across multiple clusters. Join Fern Halper, TDWI VP of Research, and Kevin Petrie, Attunity’s Senior Director of Product Marketing, to learn more about the data pipeline and its importance for analytics.

Fern Halper, Ph.D.


Ask the Expert about the Role of Data Visualization on Data Validation
TDWI Members Only

In this Ask the Expert webinar, Andrew Cardno will answer your questions about the additional challenges of visualization of data streams that potentially contain unexpected values. In handling unexpected values, we need to consider presentation methods that are able to handle exceptions while still allowing the operators to understand the core datasets.

Andrew Cardno


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