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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

Automation First as a Strategy for Data Warehouse Modernization: Achieving Productivity and Flexibility via Modern Tools and Methods

Data warehouse automation tools enable enterprises to work more productively and flexibly. Learn what data warehouse automation is and does, how such efforts work together, and how an “automation first” strategy enables you to achieve development and operations -- not just platform -- goals.

Philip Russom, Ph.D.

The Modernization of the Data Warehouse: Tackling New Architectures for New Use Cases in Analysis and Operations

Business innovation requires bigger and better data which is driving the need to update legacy warehouse designs. We’ll explore critical success factors in DW modernization, including drivers and use cases, new platforms for data management, and the role of cloud, multicloud, and hybrid cloud environments.

Philip Russom, Ph.D.

Modernizing the Logical Data Warehouse

This webinar will explore what a logical data warehouse is and does, the role hybrid data architectures play, and why you need to upgrade the logical, virtual, semantic, and service layers of your DW architecture to support today’s multicloud, hybrid environments.

Philip Russom, Ph.D.

Customer Intelligence in the Age of Consent: How Organizations can Build on Trust to Learn from and Engage with Customers

To be competitive, organizations need to analyze data to better understand their customers -- but they also need customers’ consent as governments institute strict privacy laws that impact analytics and governance. Learn how to create a strategy that balances these competing requirements.

David Stodder

Maximizing the Power of Data with Embedded Analytics

Discover the latest technology trends and practices for embedding robust analytics, data interaction, and content within cloud-based applications and services. Speakers will discuss organizational and project perspectives key to successful embedded analytics for both internal and external users.

David Stodder

Putting the Intelligence in Your Company’s Approach to Artificial Intelligence: It Starts with the Data

TDWI’s VP of Research joins industry thought leaders from Pitney Bowes and Pegasus Knowledge Solutions to discuss actionable insight and best practices you can use to deliver on the AI promise. Learn how AI can help your organization meet data quality goals of reasonableness, consistency, timeliness, and relevancy.

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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