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RESEARCH & RESOURCES

Featured Webinars

  • Build Data-Intensive Applications Using Cloud Data Platforms

    Does your data platform have the scale, efficiency, and flexibility to meet growing data and analytics needs? Join this TDWI Webinar to learn how developers, ISVs, and SaaS providers can use modern, cloud-based data platforms to meet today’s demand for data-rich applications and SaaS. January 21, 2020 Register

  • Solving Modern Data Integration Challenges with an Enterprise Integration Fabric

    Learn how traditional data integration can impede modern analytics. Explore new ideas for modernizing data integration with enterprise integration fabrics, assessing the scope of enterprise data integration, categorizing access use cases, and integrating new techniques for ETL and change data capture. January 22, 2020 Register

  • Modernizing Data Integration for Cloud Data Warehouses and Lakes

    Compare data integration with cloud versus on-premises systems, learn new capabilities of vendor-built or open-source data integration tools (pipelining, orchestration, and transformation), and explore real-world use cases for modern data integration in data warehousing and analytics. January 28, 2020 Register

Upcoming Webinars

  • Build Data-Intensive Applications Using Cloud Data Platforms

    Does your data platform have the scale, efficiency, and flexibility to meet growing data and analytics needs? Join this TDWI Webinar to learn how developers, ISVs, and SaaS providers can use modern, cloud-based data platforms to meet today’s demand for data-rich applications and SaaS. January 21, 2020 Register

  • Modern Data Sharing for Better Analytics

    Like most practices in data management and analytics, data sharing technology is being used to satisfy new business requirements for collaboration, data science, analytics, data monetization, and sales and marketing. This webinar explores trends and innovations in data sharing. January 21, 2020 Register

  • Solving Modern Data Integration Challenges with an Enterprise Integration Fabric

    Learn how traditional data integration can impede modern analytics. Explore new ideas for modernizing data integration with enterprise integration fabrics, assessing the scope of enterprise data integration, categorizing access use cases, and integrating new techniques for ETL and change data capture. January 22, 2020 Register

  • Modernizing Data Integration for Cloud Data Warehouses and Lakes

    Compare data integration with cloud versus on-premises systems, learn new capabilities of vendor-built or open-source data integration tools (pipelining, orchestration, and transformation), and explore real-world use cases for modern data integration in data warehousing and analytics. January 28, 2020 Register

  • The Automated Business Glossary: Part and Parcel of BI Intelligence

    Learn what a business glossary is and why it is needed, how it tames BI chaos, why it must be part of the BI suite, three tech components that should be automated for a mature and trusted glossary, and how to get started creating an automated business glossary for your organization. February 4, 2020 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

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.

Philip Russom, Ph.D.


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.

Philip Russom, Ph.D.


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.

David Stodder


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.

Philip Russom, Ph.D.


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.

David Loshin


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


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