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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

Faster Data for All: Empowering the Citizen Data Professional to Make Powerful Business Decisions

Learn how organizations can improve data access for users who want to do more of their own data ingestion, refinement, analytics, and visualization. Explore how your enterprise can end IT bottlenecks, enable self-service technologies, and develop data pipelines so users can solve business challenges.

David Stodder


Unifying Data and Analytics During Disruption: Architectural Considerations for Multiplatform Data Environments

Learn about unified data and analytics environments and related trends in data management, data virtualization and unified data fabrics, and the architectural considerations for a unified data fabric.

Fern Halper, Ph.D.


Ask the Expert: Cloud Data Platforms

This webinar will review the critical capabilities of cloud data platforms, including performance, security, and governance, and how to get started with a cloud data platform (including migration considerations, secure data sharing, and picking the right workloads).

Fern Halper, Ph.D.


Critical Success Factors for the Cloud Data Lake

What’s driving the popularity of cloud for data lakes and warehouses? Explore data lake use cases, failure factors, the roles that SQL and the relational paradigm play in a cloud data lake, and best practices for migrating an on-premises data lake or data warehouse to the cloud.

Philip Russom, Ph.D.


One Source of Truth: Optimize Your Data Lake Pipeline for Faster Business Insights

Leaders from TDWI, Qlik, and AWS will share how an end-to-end platform can deliver a single source of truth for data analytics and provide actionable insights. They’ll explain trends in AI and analytics that require diverse data sources and discuss how to leverage an enterprise data catalog.

Fern Halper, Ph.D.


New Directions in Modern Data Management: Open Source and in the Cloud

In this panel discussion, TDWI affiliate analyst David Loshin will pose directed questions to some of today’s data management experts who will reflect on new and emerging practices and techniques and provide answers that help attendees plan successful modernization programs.

David Loshin


Six Strategies for Enabling Central IT to Deploy Cloud Data Management More Effectively

Learn how central IT can develop a positive, effective strategy for cloud data management and how you can take advantage of the cloud’s benefits while tending to enterprise concerns across on-premises and cloud systems, including governance, security, data management, and performance.

David Stodder


TDWI Membership

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