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RESEARCH & RESOURCES

Featured Webinars

  • Strategic Considerations for Data Warehousing in the Cloud

    In this webinar, we discuss key aspects of an organization's cloud-based data strategy, covering the data life cycle from the time that a data set is selected for acquisition, onboarding, and ingestion to the point where data feeds the end-users' analyses and visualizations. May 13, 2021

  • Finding the Right Data Provider for Your Business

    Join us for this informative webinar featuring guest speakers Steven Casey from Forrester and Elizabeth Barrette from Dun & Bradstreet. They'll share how they view the sales and marketing B2B data landscape and define the important pillars leaders need to consider in a data provider. May 20, 2021

  • Next-Generation Data Engineering in the Evolving Cloud

    Join TDWI's senior research director James Kobielus on this webinar to explore the challenges and benefits of implementing robust data engineering "supply chains" in the cloud. May 25, 2021

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

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.

Philip Russom, Ph.D.


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.


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.


How to Use Cloud-Based Intelligent iPaaS to Modernize Integration

Learn about this modern and future-facing technology’s compelling capabilities and attributes, including how it leverages the power of the cloud, requires little or no hand-coded programming, and supports new best practices for integration, all from a single unified user interface.

Philip Russom, Ph.D.


Accelerate Hybrid and Multipoint Integration into a Cloud Data Warehouse

Join this TDWI Webinar to learn how you can accelerate hybrid and multipoint integration into a cloud data warehouse.

David Stodder


Maximizing Data Utility by Ensuring Trust in the Data

In this webinar, we consider a holistic approach that blends social and technological methods for assessing data utility and asserting a level of data trust.

David Loshin


Virtual Solution Spotlight: Automating the Data and Analytics Life Cycle

Sign up to attend this free Virtual Solution Spotlight. Attendees will learn what is possible with automation across the data and analytics life cycle.


TDWI Membership

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