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Featured Webinars

  • Strategic Considerations for Data Warehousing in the Cloud

    In this webinar, we discuss key aspects of an organization's cloud-based data strategy, covering the data life cycle from the time that a data set is selected for acquisition, onboarding, and ingestion to the point where data feeds the end-users' analyses and visualizations. May 13, 2021

  • Finding the Right Data Provider for Your Business

    Join us for this informative webinar featuring guest speakers Steven Casey from Forrester and Elizabeth Barrette from Dun & Bradstreet. They'll share how they view the sales and marketing B2B data landscape and define the important pillars leaders need to consider in a data provider. May 20, 2021

  • Next-Generation Data Engineering in the Evolving Cloud

    Join TDWI's senior research director James Kobielus on this webinar to explore the challenges and benefits of implementing robust data engineering "supply chains" in the cloud. May 25, 2021

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

Data Pipeline Orchestration in a Hybrid Environment

Cloud environments are complex and will be as long as multiple platform “islands” must be integrated for interoperability. We explore hybrid environments and their operational complexity and discuss ways data pipeline orchestration can help simplify development, migration, and operations.

David Loshin

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

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