TDWI: On-Demand Data Management Webinars & Training

Upcoming Webinars
International Broadcasts
On-Demand Webinars

Featured Webinars

How Generative AI and Large Action Models Will Transform the Way We Work
In this webinar, TDWI senior research director James Kobielus will discuss the business process automation market, how AI is being adopted in this arena, and how generative approaches such as LAMs offer a fresh new paradigm for automating complex processes faster, cheaper, and more scalably than has been possible with traditional approaches. October 9, 2024
The State of Data Governance
In this webinar, TDWI senior research director James Kobielus will discuss key findings from the recently examined data on coherent strategies for data governance. October 14, 2024
From Migration to Modernization: Boosting Your Data Infrastructure for Success
Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

Upcoming Webinars

Driving Data Quality at Scale with High-Performance Observability
In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024 Register
Building Sophisticated AI Business Applications in the Cloud
In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 2024 Register
Expert Panel: Data Collaboration and Sharing
Join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of how modern organizations collaborate around shared data and thereby use analytics-infused insights to produce business results. November 4, 2024 Register

International Broadcasts

Developing a Modern Data Platform Strategy (GMT Timezone)
Join TDWI’s VP of research, Fern Halper, in a discussion with Snowflake’s director of product management, Josh Klahr, on what to look for in modern data platforms and developing a modern data platform strategy. September 13, 2024 Register
Expert Panel: Improving Data Quality, Accuracy, and Consistency (GMT Timezone)
On September 26, join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of the current state of data quality management practices in enterprises and emerging new organizational structures, practices, platforms, and tools. September 26, 2024 Register
Building Sophisticated AI Business Applications in the Cloud (Mexico Time)
In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 14, 2024 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

The Data Office in the New Normal

Attend this TDWI Webinar to learn more about the data office, what it does, how it operates, and how to get started.

Fern Halper, Ph.D.

Accelerate Confident Decision-Making with Data Enrichment

Join this TDWI Webinar for presentations and a roundtable discussion about how to realize the value of incorporating data enrichment into current business processes for better-informed, data-driven decisions.

David Stodder

Modernizing the Analytics Data Pipeline

Join TDWI's senior research director James Kobielus to explore how forward-looking businesses build agile, scalable, and manageable analytics data pipelines.

James Kobielus

Application Modernization with Actian Avalanche and Google Cloud: A Case Study

Join this TDWI webinar for an interactive panel discussion on how to manage application requirements in a hybrid cloud data warehouse environment and make the ultimate migration to the cloud seamless for users and applications.

David Stodder

Six Steps for Improving Cloud Cost Management

Join this TDWI Webinar to learn how your organization can increase granular visibility into cloud costs and apply advanced analytics including machine learning to improve cloud cost management.

David Stodder

Using Observability to Boost Quality and Efficiency Throughout the Data Pipeline

Join TDWI's senior research director James Kobielus on this webinar to explore best practices for using observability tools to monitor, manage, and optimize operational data pipelines.

James Kobielus

How the Cloud Can Bring the Analytics and Machine Learning Divide to an End

Join this TDWI Webinar to learn about expanding analytics endeavors in the cloud without creating new silos, building a cohesive foundation to scale ML to get the highest ROI, and the convergence of analytics and ML in cloud data platforms.

TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

RESEARCH & RESOURCES

Featured Webinars

Upcoming Webinars

International Broadcasts

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

On Demand

The Data Office in the New Normal

Fern Halper, Ph.D.

Accelerate Confident Decision-Making with Data Enrichment

David Stodder

Modernizing the Analytics Data Pipeline

James Kobielus

Application Modernization with Actian Avalanche and Google Cloud: A Case Study

David Stodder

Six Steps for Improving Cloud Cost Management

David Stodder

Using Observability to Boost Quality and Efficiency Throughout the Data Pipeline

James Kobielus

How the Cloud Can Bring the Analytics and Machine Learning Divide to an End

Fern Halper, Ph.D.

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