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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

Future Analytics: Organizational Readiness and Successful Deployment

This roundtable will explore future analytics environments, including a discussion of high-level architectural alternatives for analytics, prioritizing analytics use cases, data resource mapping, data pipeline orchestration, and leveraging the right technology frameworks.

David Loshin


Best Practices for Cloud Data Pipelines

Learn about the alternatives for developing and managing cloud data pipelines and what to expect of modern analytics environments. Explore real-time data ingestion and management, why custom-coded data pipelines are so complex (and ELT’s role), and what skills are needed to develop data pipelines.

David Loshin


Empowering Users with Intelligent, Governed Self-Service Data Preparation

Discover the latest self-service data prep trends and how solutions can empower users, improve governance, and enjoy faster data prep workflows and quality data pipelines. We’ll discuss the latest TDWI research about self-service data prep and explore intelligent automation and collaboration.

David Stodder


Modern Data Sharing for Better Analytics

Like most practices in data management and analytics, data sharing technology is being used to satisfy new business requirements for collaboration, data science, analytics, data monetization, and sales and marketing. This webinar explores trends and innovations in data sharing.

Philip Russom, Ph.D.


The Why and How of Multicloud Environments

Learn what a multicloud architecture is all about and why it is becoming popular, explore the benefits, challenges, and best practices for a multicloud environment.

Fern Halper, Ph.D.


Data Management and Data Warehouse Requirements for Machine Learning and AI

This webinar will define ML and related technologies and practices in AI and predictive analytics, discuss ML’s use cases, explain data management requirements users must address to successfully apply ML to their analytics, and explain the ML life cycle and the unique data requirements of each stage.

Philip Russom, Ph.D.


Cloud at Scale for Modern Data Warehousing - New Approaches for New Business Uses and Technical Requirements

Data warehouse modernization and cloud adoption often go hand in hand; both seek to ensure extreme scalability, lower administrative and platform costs, and support new business analytics. This webinar will discuss both practices, with a focus on coordinating the two and present six key recommendations.

Philip Russom, Ph.D.


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