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RESEARCH & RESOURCES

Featured Webinars

  • The Rise of Cloud Data Lakes: Power with Data in 2021

    In this webinar you'll hear how Aegon, working with Amazon Web Services and Qlik, built a cloud-led environment that has accelerated data delivery while meeting strict data privacy and security needs. March 10, 2021

  • Cloud Data Warehousing Straight Talk

    In this webinar we will explore the different corporate personas about cloud data warehouse architectural paradigms and provide some "straight talk" about the current state of the art in data warehousing. March 11, 2021

  • Building Modern Data Applications in the Cloud

    In this webinar we consider approaches that simplify the ways modern data applications are built in the cloud through adoption of more sophisticated "as-a-service" platform capabilities. March 18, 2021

Upcoming Webinars

International Broadcasts

  • Modern Data Governance

    This webinar is based on the new TDWI Best Practices Report: Modern Data Governance. The webinar will hit the highlights of that report and discuss business and technology drivers, key challenges and best practices, and tech that supports data and analytics governance (such as data catalogs and metadata management). February 26, 2021 Register

  • Best Practices for Streamlining Business Analytics with Self-Service Data Pipelines

    Join this TDWI Webinar to learn best practices and technology trends aimed at solving data pipeline problems plaguing business-driven analytics and visualization projects. March 2, 2021 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

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


Data Integration in a Multicloud World: How to Find the Needle in a Haystack

Learn how to reshape your data integration strategy to deliver the right data to the right users faster. Learn the secrets to well-governed, trusted, high-quality data, why data catalogs are important, and best strategies for multicloud data integration to support analytics, AI, and machine learning.

David Stodder


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