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RESEARCH & RESOURCES


Featured Webinars

  • 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

  • Driving Data Quality at Scale with High-Performance Observability

    In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024

  • Building Sophisticated AI Business Applications in the Cloud

    In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 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

Operationalizing Big Data Analytics: Turn Isolated Analytic Insights into Repeatable BI Solutions That Benefit the Whole Enterprise

In one of the strongest trends today, many user organizations are moving deeper into advanced analytics with big data. That’s because conventional wisdom now tells us that there are leverage-able business insights to be discovered in big data. Many businesses are deploying teams and tools for big data analytics in silos that are disconnected partially or wholly from the rest of their enterprise. Organizations in this situation are not getting full business value from the new insights being discovered because they are rarely shared throughout the company.

Philip Russom, Ph.D.


Real-Time Business Insight from Big Data

For those of us in IT and especially BI, there’s nothing more exciting than seeing practices and technologies come together in a new combination, to support enterprise business in a new way. At the moment, we are seeing such a confluence of practices and technologies for real time, analytics, big data, and in-memory processing. The combination enables more organizations to credibly address time-sensitive business processes that involve big data and benefit from analytics.

Philip Russom, Ph.D.


Achieving Greater Agility with Business Intelligence and Analytics

Delivering value sooner and being adaptable to business change are two of the most important objectives today in developing and deploying business intelligence (BI) and analytics. Organizations are under pressure to adjust strategies and tactics to fast-changing markets and economic situations, and they are depending on BI and analytics to help them make good decisions. In addition, as more users are exposed to BI and analytics tools, the more they want in terms of functionality, data access, and other capabilities. IT organizations, used to long “waterfall” development cycles, are struggling to keep up, and are hearing loud and clear from users that they want an end to the frustration.

David Stodder


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