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RESEARCH & RESOURCES

Featured Webinars

  • The Rise of Cloud Data Lakes: Power with Data in 2021

    In this webinar you'll hear how Aegon, working with Amazon Web Services and Qlik, built a cloud-led environment that has accelerated data delivery while meeting strict data privacy and security needs. March 10, 2021

  • Cloud Data Warehousing Straight Talk

    In this webinar we will explore the different corporate personas about cloud data warehouse architectural paradigms and provide some "straight talk" about the current state of the art in data warehousing. March 11, 2021

  • Building Modern Data Applications in the Cloud

    In this webinar we consider approaches that simplify the ways modern data applications are built in the cloud through adoption of more sophisticated "as-a-service" platform capabilities. March 18, 2021

Upcoming Webinars

International Broadcasts

  • Modern Data Governance

    This webinar is based on the new TDWI Best Practices Report: Modern Data Governance. The webinar will hit the highlights of that report and discuss business and technology drivers, key challenges and best practices, and tech that supports data and analytics governance (such as data catalogs and metadata management). February 26, 2021 Register

  • Best Practices for Streamlining Business Analytics with Self-Service Data Pipelines

    Join this TDWI Webinar to learn best practices and technology trends aimed at solving data pipeline problems plaguing business-driven analytics and visualization projects. March 2, 2021 Register

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

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.


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


Virtual Solution Spotlight: The Case for Unified Platforms for Data and Analytics

In this session, TDWI analysts will discuss trends in data management and analytics that are driving the need for a unified data and analytics platform. We will describe how this environment can align data management and visual analytics development and increase agility and speed.


Six Success Factors for Getting Started with Machine Learning Across Your Enterprise

Machine learning (ML) is fast becoming part of the fabric of many organizations as they look to embark on AI-based transformation. Organizations are embracing machine learning to gain better insights, make better decisions, and improve competitive advantage.

Fern Halper, Ph.D.


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