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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

Solving Modern Data Integration Challenges with an Enterprise Integration Fabric

Learn how traditional data integration can impede modern analytics. Explore new ideas for modernizing data integration with enterprise integration fabrics, assessing the scope of enterprise data integration, categorizing access use cases, and integrating new techniques for ETL and change data capture.

David Loshin

Provided by Equalum


Build Data-Intensive Applications Using Cloud Data Platforms

Does your data platform have the scale, efficiency, and flexibility to meet growing data and analytics needs? Join this TDWI Webinar to learn how developers, ISVs, and SaaS providers can use modern, cloud-based data platforms to meet today’s demand for data-rich applications and SaaS.

David Stodder


Gaining Faster Insights From Faster Data

TDWI’s new Best Practices Report examines how organizations can improve practices, strategies, team leadership, and technology use to accelerate speed to insight. The report’s author discusses where organizations are now in reducing latency throughout their data life cycles and how they can improve.

David Stodder


What’s Ahead in Data Management in 2020?

Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management.

Philip Russom, Ph.D.


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


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