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RESEARCH & RESOURCES

Featured Webinars

  • 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. January 21, 2020 Register

  • 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. January 22, 2020 Register

  • 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. January 28, 2020 Register

Upcoming Webinars

  • 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. January 21, 2020 Register

  • Modern Data Sharing for Better Analytics

    Like most practices in data management and analytics, data sharing technology is being used to satisfy new business requirements for collaboration, data science, analytics, data monetization, and sales and marketing. This webinar explores trends and innovations in data sharing. January 21, 2020 Register

  • 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. January 22, 2020 Register

  • 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. January 28, 2020 Register

  • 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. February 4, 2020 Register

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

The Data Warehouse Comeback: How the Cloud is Accelerating Insights

In the webinar, The Data Warehouse Comeback: How the Cloud is Accelerating Insights, a guest speaker from Forrester, as well as speakers from TDWI and Attunity (a division of Qlik), will discuss the benefits of using cloud data warehouses to unlock analytical insights.

David Stodder


The Last (And Arguably Most Important) Mile of Machine Learning: Operationalizing Analytical Models

Organizations are investing in model development but often overlook operationalizing models, which can cause projects to fail. Join us to learn why operationalizing analytics is so critical, who performs it, and what steps your organization can take to unlock the value of your analytical models.

Fern Halper, Ph.D.


AI, Machine Learning, and Digital Transformation: Results of New TDWI Best Practices Research

Explore the results of TDWI VP of Research Fern Halper’s latest Best Practices Report on AI, including the state of AI technologies (including machine learning and natural language processing), augmented intelligence, new AI jobs, and best practices for getting started with AI.

Fern Halper, Ph.D.


New Data and New Use Cases Powered by the Modern Data Warehouse

Learn about business-driven use cases uniquely supported by a modern data warehouse and new technologies that bring operations and analytics closer to real time. Explore how new data sources, structures, and latencies are forcing an evolution of enterprise data you can leverage for business advantage.

Philip Russom, Ph.D.


Migrating Analytics Systems from On Premises to the Cloud

Are your on-premises data warehousing and analytics applications ready to move to the cloud? We’ll explore why different apps need different migration scenarios, alternatives for prioritizing eligible systems, migration challenges, and how to develop and implement successful migration plans.

David Loshin


Data Tiering for Managing Complex Environments

In this introduction to structural data tiering, we will examine the characteristics and trade-offs of memory and storage tiers and how to assign and maintain storage layers. We will discuss the advantages and techniques for achieving a multilayered data system for large data warehouses.

David Loshin


Data Integration in a Multicloud World: How to Find the Needle in a Haystack

Learn how to reshape your data integration strategy to deliver the right data to the right users faster. Learn the secrets to well-governed, trusted, high-quality data, why data catalogs are important, and best strategies for multicloud data integration to support analytics, AI, and machine learning.

David Stodder


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