RESEARCH & RESOURCES


Upcoming Webinars

TDWI On-Demand Webinars on Data Management, Analytics, & AI

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

Five Strategies for Faster and More Powerful Analytics in the Cloud

Cloud computing is fast becoming the platform of choice for new application services, but it can adversely affect performance, scalability, data availability. Learn how to achieve faster, powerful analytics in the cloud by focusing on the right technologies and practices.

David Stodder


Business Innovation with Analytics: Four Technologies That Should be on Your Company’s Radar

Four technologies will help you transform your enterprise using data and analytics: machine learning, natural language processing, IoT, and blockchain. We’ll explain why they’re important for your digital transformation, best practices for getting started, and what’s ahead for each technology.

Fern Halper, Ph.D.


Six Strategies for Data-Driven Decision Making - How to create excellence through relevant, contextual insights

Learn how your organization can deliver relevant data insights and enable data interaction for a wide range of decision makers. We’ll explore innovations in AI and alerting for proactively delivering the right answers to the right users, as well as how you can ensure users can trust in data answers while your enterprise adheres to data governance policies.

David Stodder


The Modern Data Warehouse

In this webinar, we explore the benefits of the cloud as a platform for data warehouse modernization, such as automatic scaling improved workload performance. We’ll look at data warehouse migration issues and the importance of a cloud-first strategy that includes simplified management and security.

David Loshin


Best Practices for Data Engineering in the Cloud

Explore emerging best practices for data engineering in a modern hybrid cloud environment, including trends, opportunities, and challenges of managing data for analytics in the cloud, the role of a hybrid cloud architecture, and its data engineering challenges.

Fern Halper, Ph.D.


Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility

Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround.

David Loshin


Adopting a Hybrid Integration Platform

This webinar looks at the challenges of integrating across this hybrid environment and how a hybrid integration platform (HIP) helps simplify the approach for integration to overcome those challenges.

David Loshin


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