RESEARCH & RESOURCES

Featured Webinars

  • 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. June 27, 2019 Register

  • 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. July 17, 2019 Register

  • 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. July 18, 2019 Register

Upcoming Webinars

  • 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. June 27, 2019 Register

  • 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. July 17, 2019 Register

  • 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. July 18, 2019 Register

  • 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. July 30, 2019 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

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


Learn How Aggreko Is Delivering Business Value by Using Data to Drive Insight in Microsoft Azure

Learn how a leading provider of energy services designed a technology stack in Azure using Microsoft and Attunity products. See how you, too, can drive business value from data to support your business strategy by designing an effective data architecture using the right cloud technologies.

David Stodder


Easing the Path from Cloud Data Lakes to Visual Analytical Insight

Cloud data services, new technologies, and best practices for data ingestion, integration, and visual analytics are coming together to enable your organization to break out of the doldrums. Learn how you can benefit from innovations that will unleash users and drive better decisions.

David Stodder


Using DataOps for Data Pipeline Engineering Quality

The more apps you have, the more complex it is to develop and test data pipelines to ensure the quality of the data flowing through them. Learn DataOps concepts and how DevOps can automate key aspects of data pipeline quality and ongoing monitoring across the entire data life cycle.

David Loshin


Cloud Data Management

Keeping data in the cloud offers massive capacity at low cost but raises many common data management issues, including administration, integration, and security. We’ll examine the drivers, trends, benefits, barriers, platforms, tools, and key business use cases for cloud data management.

Philip Russom, Ph.D.


Preparing for Cloud Migration

Migrating applications to the cloud promises numerous benefits, but for many enterprises, it’s a highly complex move. This webinar examines why you should formalize expectations, assess on-premises operational context, analyze process workloads, and estimate cloud migration costs.

David Loshin


Global Data Management in the Cloud

Explore real-world business use cases for managing and distributing data worldwide, the roles of (multi)cloud data management, the importance of cloud-agnostic solutions, the emergence of geographically dispersed architectures for distributed data, and data and performance requirements.

Philip Russom, Ph.D.


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