TDWI: On-Demand Data Management Webinars & Training

Upcoming Webinars
International Broadcasts
On-Demand Webinars

Featured Webinars

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
Data Monitoring, Management, and Observability – Results of New TDWI Best Practices Research
Join TDWI’s VP of Research, Fern Halper, as she explores the results of TDWI’s latest research and moderates a panel of experts discussing data monitoring, management, and observability. September 16, 2024
Ensuring Trusted Data for Generative AI
In this webinar, Fern Halper, TDWI’s VP of Research, will be joined by experts from Informatica and Databricks to discuss how to ensure trusted data for generative AI. September 17, 2024

Upcoming Webinars

Unlock the Value of Generative AI in the Cloud
In this webinar, TDWI senior research director James Kobielus will discuss how enterprises can enrich their generative AI applications by leveraging data and analytics as a service in the cloud. September 18, 2024 Register
Expert Panel: Modernizing and Managing Data Integration Utilizing Automation
Join this TDWI Expert Panel Webinar to gain insights for modernizing data integration through AI-infused automation. September 23, 2024 Register
Powering Analytics, Operations, and Customer Experiences with Real-Time Data and AI
In this webinar, TDWI senior research director James Kobielus will discuss how CDC and RAG can become pivotal infrastructure for enterprise AI-driven decisioning and IT system resilience strategies. September 25, 2024 Register
Ensuring Governance and Cross-Platform Interoperability with Open Catalogs
Join TDWI and Snowflake as they discuss how open source catalogs can help drive interoperability and governance across platforms. September 26, 2024 Register
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 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

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
Reimagining Data Science with Generative AI (GMT Timezone)
Join us to hear James Kobielus, TDWI senior research director, discuss how generative AI tools are transforming the practice of data science. September 23, 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

Squeeze Every Drop of Business Value from Your Data Lake

Data catalogs contribute ease, precision, and productivity of analytics, self-service, and governance to modern data platforms. Learn how a catalog can inventory data in a data lake for self-service data exploration and data-driven operations and help users find the right data quickly.

Philip Russom, Ph.D.

What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.

What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.

Best Practices for Managing and Monitoring Open Source Predictive Models

Building a predictive analytics/machine-learning model is far earlier than deploying one, which can take six months or more. Learn how to overcome deployment challenges and monitor models in production, the role open source plays, and what technologies can help support deployment of these models.

Fern Halper, Ph.D.

Best Practices for Real-Time Analytics for High Data Volumes

Learn about hybrid transactional/analytical processing, an alternative architecture that can simultaneously balance transactional and analytical processing. We’ll explain how you can reduce traditional (ETL), manage data storage according to usage, and perform in-memory data management.

David Loshin

Emerging Trends for the Data-Centric Organization

Learn about key data-centric trends, including the role of the citizen analyst and its emergence as the nontechnical data champion, the importance of educating and training for data awareness, the value of self-service, the changing role of IT, and why you need data governance.

David Loshin

Open Source for Predictive Analytics and Data Science: Trends, Opportunities, and Challenges

Learn about the pros and cons of open source for predictive analytics and data science. We’ll discuss the trends in open source analytics, commercial versus open source options for analytics, and how vendors support open source analytics.

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

Squeeze Every Drop of Business Value from Your Data Lake

Philip Russom, Ph.D.

What’s Ahead in Analytics in 2019?

Fern Halper, Ph.D.

What’s Ahead in Analytics in 2019?

Fern Halper, Ph.D.

Best Practices for Managing and Monitoring Open Source Predictive Models

Fern Halper, Ph.D.

Best Practices for Real-Time Analytics for High Data Volumes

David Loshin

Emerging Trends for the Data-Centric Organization

David Loshin

Open Source for Predictive Analytics and Data Science: Trends, Opportunities, and Challenges

Fern Halper, Ph.D.

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