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RESEARCH & RESOURCES

Featured Webinars

  • 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. October 16, 2019 Register

  • The Data Warehouse Comeback: How the Cloud is Accelerating Insights

    In the webinar, The Data Warehouse Comeback: How the Cloud is Accelerating Insights, a guest speaker from Forrester, as well as speakers from TDWI and Attunity (a division of Qlik), will discuss the benefits of using cloud data warehouses to unlock analytical insights. October 22, 2019 Register

  • 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. October 23, 2019 Register

Upcoming Webinars

  • 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. October 24, 2019 Register

  • Gain Control of Your Data Lake

    In this webinar we explore data governance concepts for the cloud-based data lake. You’ll also learn about data lake architecture alternatives, data sensitivity and the need for data protection, how to protect against unauthorized data exposure, and tips for encouraging governed data sharing. October 29, 2019 Register

  • The Operational Data Warehouse in Today’s Hybrid Cloud Environments

    Learn what a modern OpDW is and does, technologies and practices that can modernize it (including in-memory execution and distributed and cloud-based data management), and how and why the best OpDWs provide high performance for both operations and analytics workloads. October 30, 2019 Register

  • 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. October 30, 2019 Register

  • Six Strategies for Simplifying Hybrid, Multicloud Data Integration: How to overcome pain points in providing governed views of diverse data

    Data integration in cloud and on-premises hybrid environments can be painful. Learn how you can overcome pain points in governed views of diverse data by using data virtualization to reduce data movement, provide comprehensive data views faster, and address governance challenges. October 31, 2019 Register

  • Cloud at Scale for Modern Data Warehousing - New Approaches for New Business Uses and Technical Requirements

    Data warehouse modernization and cloud adoption often go hand in hand; both seek to ensure extreme scalability, lower administrative and platform costs, and support new business analytics. This webinar will discuss both practices, with a focus on coordinating the two and present six key recommendations. November 6, 2019 Register

  • Data Management and Data Warehouse Requirements for Machine Learning and AI

    This webinar will define ML and related technologies and practices in AI and predictive analytics, discuss ML’s use cases, explain data management requirements users must address to successfully apply ML to their analytics, and explain the ML life cycle and the unique data requirements of each stage. November 20, 2019 Register

  • 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. December 10, 2019 Register

  • Gain Control of Your Data Lake

    In this webinar we explore data governance concepts for the cloud-based data lake. You’ll also learn about data lake architecture alternatives, data sensitivity and the need for data protection, how to protect against unauthorized data exposure, and tips for encouraging governed data sharing. December 17, 2019 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

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


Automation First as a Strategy for Data Warehouse Modernization: Achieving Productivity and Flexibility via Modern Tools and Methods

Data warehouse automation tools enable enterprises to work more productively and flexibly. Learn what data warehouse automation is and does, how such efforts work together, and how an “automation first” strategy enables you to achieve development and operations -- not just platform -- goals.

Philip Russom, Ph.D.


The Modernization of the Data Warehouse: Tackling New Architectures for New Use Cases in Analysis and Operations

Business innovation requires bigger and better data which is driving the need to update legacy warehouse designs. We’ll explore critical success factors in DW modernization, including drivers and use cases, new platforms for data management, and the role of cloud, multicloud, and hybrid cloud environments.

Philip Russom, Ph.D.


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