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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

Modern Data Integration for Advanced Analytics, from Self-Service to Predictive Solutions

Learn how the increasing business use of advanced analytics is driving change across data management (especially data integration) and how cloud-based data platforms, databases, tools, and hybrid architectures support multiple forms of analytics and their data storage and integration requirements.

Philip Russom, Ph.D.


The Automated Business Glossary: Part and Parcel of BI Intelligence

Learn what a business glossary is and why it is needed, how it tames BI chaos, why it must be part of the BI suite, three tech components that should be automated for a mature and trusted glossary, and how to get started creating an automated business glossary for your organization.

Claudia Imhoff, Ph.D.


Modernizing Data Integration for Cloud Data Warehouses and Lakes

Compare data integration with cloud versus on-premises systems, learn new capabilities of vendor-built or open-source data integration tools (pipelining, orchestration, and transformation), and explore real-world use cases for modern data integration in data warehousing and analytics.

Philip Russom, Ph.D.


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.


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