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

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.

Fern Halper, Ph.D.

Automating Modern Data Lake Pipelines

Data management challenges can often make finding value in an on-premises or cloud data lake extremely difficult. Learn about the evolution of the modern data lake, how to make it efficiently ingest data in real time, and how data lake pipelines can be automated.

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

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.

Automating Modern Data Lake Pipelines

Fern Halper, Ph.D.

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