By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES


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

International Broadcasts

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

Five Strategies for Modernizing Data Warehousing via the Cloud

The cloud is rapidly moving to the forefront for modernizing data warehousing and related data management to support analytics, Learn how to create the right strategy for modernizing data warehousing and related data management by bringing them into the cloud.

David Stodder


Best Practices for Cloud Data Pipelines

Learn about the alternatives for developing and managing cloud data pipelines and what to expect of modern analytics environments. Explore real-time data ingestion and management, why custom-coded data pipelines are so complex (and ELT’s role), and what skills are needed to develop data pipelines.

David Loshin


The Last (And Arguably Most Important) Mile of Machine Learning: Operationalizing Analytical Models

Organizations are investing in model development but often overlook operationalizing models, which can cause projects to fail. Join us to learn why operationalizing analytics is so critical, who performs it, and what steps your organization can take to unlock the value of your analytical models.

Fern Halper, Ph.D.


AI, Machine Learning, and Digital Transformation: Results of New TDWI Best Practices Research

Explore the results of TDWI VP of Research Fern Halper’s latest Best Practices Report on AI, including the state of AI technologies (including machine learning and natural language processing), augmented intelligence, new AI jobs, and best practices for getting started with AI.

Fern Halper, Ph.D.


New Data and New Use Cases Powered by the Modern Data Warehouse

Learn about business-driven use cases uniquely supported by a modern data warehouse and new technologies that bring operations and analytics closer to real time. Explore how new data sources, structures, and latencies are forcing an evolution of enterprise data you can leverage for business advantage.

Philip Russom, Ph.D.


Migrating Analytics Systems from On Premises to the Cloud

Are your on-premises data warehousing and analytics applications ready to move to the cloud? We’ll explore why different apps need different migration scenarios, alternatives for prioritizing eligible systems, migration challenges, and how to develop and implement successful migration plans.

David Loshin


Data Tiering for Managing Complex Environments

In this introduction to structural data tiering, we will examine the characteristics and trade-offs of memory and storage tiers and how to assign and maintain storage layers. We will discuss the advantages and techniques for achieving a multilayered data system for large data warehouses.

David Loshin


TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.

LINKS

Contact Us Marketing Opportunities Become an Instructor or Contributor Media Downloads Author Submissions Reprints & Permissions Vendor News Newsletters Press Releases Sitemap TDWI Europe Become a Member