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

The Last (And Arguably Most Important) Mile of Machine Learning: Operationalizing Analytical Models

Organizations are investing in model development but often overlook operationalizing models, which can cause projects to fail. Join us to learn why operationalizing analytics is so critical, who performs it, and what steps your organization can take to unlock the value of your analytical models.

Fern Halper, Ph.D.


AI, Machine Learning, and Digital Transformation: Results of New TDWI Best Practices Research

Explore the results of TDWI VP of Research Fern Halper’s latest Best Practices Report on AI, including the state of AI technologies (including machine learning and natural language processing), augmented intelligence, new AI jobs, and best practices for getting started with AI.

Fern Halper, Ph.D.


New Data and New Use Cases Powered by the Modern Data Warehouse

Learn about business-driven use cases uniquely supported by a modern data warehouse and new technologies that bring operations and analytics closer to real time. Explore how new data sources, structures, and latencies are forcing an evolution of enterprise data you can leverage for business advantage.

Philip Russom, Ph.D.


Migrating Analytics Systems from On Premises to the Cloud

Are your on-premises data warehousing and analytics applications ready to move to the cloud? We’ll explore why different apps need different migration scenarios, alternatives for prioritizing eligible systems, migration challenges, and how to develop and implement successful migration plans.

David Loshin


Data Tiering for Managing Complex Environments

In this introduction to structural data tiering, we will examine the characteristics and trade-offs of memory and storage tiers and how to assign and maintain storage layers. We will discuss the advantages and techniques for achieving a multilayered data system for large data warehouses.

David Loshin


Data Integration in a Multicloud World: How to Find the Needle in a Haystack

Learn how to reshape your data integration strategy to deliver the right data to the right users faster. Learn the secrets to well-governed, trusted, high-quality data, why data catalogs are important, and best strategies for multicloud data integration to support analytics, AI, and machine learning.

David Stodder


Automation First as a Strategy for Data Warehouse Modernization: Achieving Productivity and Flexibility via Modern Tools and Methods

Data warehouse automation tools enable enterprises to work more productively and flexibly. Learn what data warehouse automation is and does, how such efforts work together, and how an “automation first” strategy enables you to achieve development and operations -- not just platform -- goals.

Philip Russom, Ph.D.


TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.

↑