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Featured Webinars

Upcoming Webinars

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

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

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.

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