By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES

Featured Webinars

  • Six Critical Factors for Machine Learning Success

    Machine learning requires the capacity to collect, manage, and access large amounts of accurate and diverse data, the ability to create new features and train models, and must be able to deploy, monitor, and update models in production. Learn about six factors to make machine learning a success. September 24, 2020

  • What Do Modern Analysts Want?

    Join this TDWI webinar to learn more about this emerging role and its importance to your organization. Utilizing results from a recent TDWI survey, Fern Halper, TDWI's VP of Research, and experts from ThoughtSpot will discuss this valuable role. September 29, 2020

  • Why Automated Data Lineage Is a Must-Have for BI and Analytics

    Learn about uses cases for data lineage, especially those in BI daily operations and analytics and how data lineage assists data exploration and discovery, solution development, auditing, data governance, and migrations. September 30, 2020

Upcoming Webinars

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

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

Using an Enterprise Data Fabric to Tame Data Chaos

In this webinar, we discuss how traditional data integration may be impacting numerous aspects of your business and explore ideas for using an enterprise data fabric to collect, govern, transform, and share the data across the extended hybrid enterprise environment.

David Loshin


Capturing Data Relationships to Develop Meaningful Customer Engagement

Join this TDWI Webinar to learn how you can take advantage of innovations to drive smarter personalization, targeted marketing across channels, and more satisfying customer engagement.

David Stodder


Building a Modern Data Team

We will describe recent changes in modern data teams plus where these teams are headed. We’ll discuss trends and drivers for data team headcount, what skills are needed, reporting (central versus local) and internal team structures, and specialties within data management.

Philip Russom, Ph.D.


Data Onboarding for Migrating to Cloud Data Lakes

In this webinar, we discuss five ways to simplify the process of cloud data migration and modernization with a managed approach to data onboarding.

David Loshin


Designing and Deploying Effective Architectures for End-User Analytics

This webinar will canvas the trends driving up the complexity of data architecture and offer guidelines for designing and deploying architectures that satisfy the business and technical requirements typical of today’s data. We’ll also explore the role of the cloud in new data architectures.

Philip Russom, Ph.D.


The Challenges of Cloud Data Warehousing and How Data Integration Addresses Them

This webinar will drill into the leading challenges of data warehousing on the cloud with a focus on addressing those challenges with data integration functionality.

Philip Russom, Ph.D.


Virtual Solution Spotlight: Delivering Machine Learning Insights for the Business at Large

Delivering Machine Learning Insights for the Business at Large


TDWI Membership

Get immediate access to training discounts, video library, BI Teams, Skills, Budget Report, and more

Individual, Student, and Team memberships available.