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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

Cloud Data Warehouses: Are They Right for Your Organization?

Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered.

Fern Halper, Ph.D.


Six Steps for Generating Business Value from Operational IoT Data

Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility.

David Stodder


Six Best Practices to Ignite the Customer Experience with IoT

Learn how to deliver targeted, effective customer experiences and become more customer-centric by processing data from IoT devices and applications. We'll explore using advanced analytics and AI to derive predictive and prescriptive insights that differentiate your customer experience.

William McKnight


Data Governance: The Key to Successful Digital Transformation

Learn about balancing offense and defense in data governance and how data governance is the cornerstone of your digital transformation. Explore how to engage in enterprise data governance, how to manage data accessibility, and about opportunities for leveraging automation for data policy management.

David Loshin


The Many Faces of Metadata Management: From Data Catalogs to Data Governance to BI Operations

Deepen your understanding of metadata management, where it's headed, and how it can address data management and integration challenges in BI reporting, analytics, data migration, and regulatory adherence. Learn how metadata management, data catalogs, and business glossaries differ.

David Stodder


Expanding Analytical Horizons in the Cloud

Learn how you can leverage cloud computing to complement your traditional data warehouse with data discovery and uncover new use cases for your data. We’ll examine the economic, performance, and competitive business benefits of cloud platforms for integrated advanced analytics.

David Loshin


Augmenting BI and Analytics in the Age of AI and Big Data

Learn about key trends in BI and analytics based on research findings in a just-published TDWI Best Practices Report: "BI and Analytics in the Age of AI and Big Data." We'll cover priorities for augmenting BI, analytics, and data preparation with new AI capabilities, in particular to capture value from big data and cloud data systems.

David Stodder


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