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RESEARCH & RESOURCES


Featured Webinars

  • How Generative AI and Large Action Models Will Transform the Way We Work

    In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. October 9, 2024

  • The State of Data Governance

    In this webinar, TDWI senior research director James Kobielus will discuss key findings from the recently examined data on coherent strategies for data governance. October 14, 2024

  • From Migration to Modernization: Boosting Your Data Infrastructure for Success

    Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

Upcoming Webinars

International Broadcasts

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

Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility

Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround.

David Loshin


Data Pipeline Orchestration in a Hybrid Environment

Cloud environments are complex and will be as long as multiple platform “islands” must be integrated for interoperability. We explore hybrid environments and their operational complexity and discuss ways data pipeline orchestration can help simplify development, migration, and operations.

David Loshin


Five Strategies for Faster and More Powerful Analytics in the Cloud

Cloud computing is fast becoming the platform of choice for new application services, but it can adversely affect performance, scalability, data availability. Learn how to achieve faster, powerful analytics in the cloud by focusing on the right technologies and practices.

David Stodder


Business Innovation with Analytics: Four Technologies That Should be on Your Company’s Radar

Four technologies will help you transform your enterprise using data and analytics: machine learning, natural language processing, IoT, and blockchain. We’ll explain why they’re important for your digital transformation, best practices for getting started, and what’s ahead for each technology.

Fern Halper, Ph.D.


Six Strategies for Data-Driven Decision Making - How to create excellence through relevant, contextual insights

Learn how your organization can deliver relevant data insights and enable data interaction for a wide range of decision makers. We’ll explore innovations in AI and alerting for proactively delivering the right answers to the right users, as well as how you can ensure users can trust in data answers while your enterprise adheres to data governance policies.

David Stodder


The Modern Data Warehouse

In this webinar, we explore the benefits of the cloud as a platform for data warehouse modernization, such as automatic scaling improved workload performance. We’ll look at data warehouse migration issues and the importance of a cloud-first strategy that includes simplified management and security.

David Loshin


Best Practices for Data Engineering in the Cloud

Explore emerging best practices for data engineering in a modern hybrid cloud environment, including trends, opportunities, and challenges of managing data for analytics in the cloud, the role of a hybrid cloud architecture, and its data engineering challenges.

Fern Halper, Ph.D.


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