RESEARCH & RESOURCES

Featured Webinars

  • Addressing Challenges in Ingestion and Integration for Cloud Data Warehousing

    Explore the differences between on-premises and cloud platforms for data warehousing and learn how to address the new data ingestion and integration challenges so you can rapidly populate cloud data warehouses in a consistent and high-quality manner. May 30, 2019 Register

  • Global Data Management in the Cloud

    Explore real-world business use cases for managing and distributing data worldwide, the roles of (multi)cloud data management, the importance of cloud-agnostic solutions, the emergence of geographically dispersed architectures for distributed data, and data and performance requirements. June 5, 2019 Register

  • Preparing for Cloud Migration

    Migrating applications to the cloud promises numerous benefits, but for many enterprises, it’s a highly complex move. This webinar examines why you should formalize expectations, assess on-premises operational context, analyze process workloads, and estimate cloud migration costs. June 12, 2019 Register

Upcoming Webinars

  • Addressing Challenges in Ingestion and Integration for Cloud Data Warehousing

    Explore the differences between on-premises and cloud platforms for data warehousing and learn how to address the new data ingestion and integration challenges so you can rapidly populate cloud data warehouses in a consistent and high-quality manner. May 30, 2019 Register

  • Global Data Management in the Cloud

    Explore real-world business use cases for managing and distributing data worldwide, the roles of (multi)cloud data management, the importance of cloud-agnostic solutions, the emergence of geographically dispersed architectures for distributed data, and data and performance requirements. June 5, 2019 Register

  • Preparing for Cloud Migration

    Migrating applications to the cloud promises numerous benefits, but for many enterprises, it’s a highly complex move. This webinar examines why you should formalize expectations, assess on-premises operational context, analyze process workloads, and estimate cloud migration costs. June 12, 2019 Register

  • Cloud Data Management

    Keeping data in the cloud offers massive capacity at low cost but raises many common data management issues, including administration, integration, and security. We’ll examine the drivers, trends, benefits, barriers, platforms, tools, and key business use cases for cloud data management. June 19, 2019 Register

  • Easing the Path from Cloud Data Lakes to Visual Analytical Insight

    Cloud data services, new technologies, and best practices for data ingestion, integration, and visual analytics are coming together to enable your organization to break out of the doldrums. Learn how you can benefit from innovations that will unleash users and drive better decisions. June 25, 2019 Register

  • Blending Cloud Data Lakes and Cloud Data Warehouses for Speed, Trust, and Agility

    Cloud data lake and cloud data warehouse strategies do not need to conflict with each other. Instead, learn how data lakes and data warehouses can be blended to speed time to reporting and analytics while raising overall trust in the data and enabling fast deployment and turnaround. June 27, 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

Data Governance: The Key to Successful Digital Transformation

Learn about balancing offense and defense in data governance and how data governance is the cornerstone of your digital transformation. Explore how to engage in enterprise data governance, how to manage data accessibility, and about opportunities for leveraging automation for data policy management.

David Loshin


The Many Faces of Metadata Management: From Data Catalogs to Data Governance to BI Operations

Deepen your understanding of metadata management, where it's headed, and how it can address data management and integration challenges in BI reporting, analytics, data migration, and regulatory adherence. Learn how metadata management, data catalogs, and business glossaries differ.

David Stodder


Expanding Analytical Horizons in the Cloud

Learn how you can leverage cloud computing to complement your traditional data warehouse with data discovery and uncover new use cases for your data. We’ll examine the economic, performance, and competitive business benefits of cloud platforms for integrated advanced analytics.

David Loshin


Augmenting BI and Analytics in the Age of AI and Big Data

Learn about key trends in BI and analytics based on research findings in a just-published TDWI Best Practices Report: "BI and Analytics in the Age of AI and Big Data." We'll cover priorities for augmenting BI, analytics, and data preparation with new AI capabilities, in particular to capture value from big data and cloud data systems.

David Stodder


What’s Ahead in Data Management in 2019?

Data is evolving into larger volumes from new sources in a wide array of structures, containers, and interfaces. An expert panel discusses data management trends, including new data platforms (Hadoop, cloud computing, and columnar databases), cloud data management, advancements in data catalogs and metadata, and data governance and stewardship.

Philip Russom, Ph.D.


Facilitating Analytics in the Cloud

Explore two different aspects of analytics in the cloud: cloud migration challenges and best practices and how Tableau’s visual analytics platform can be integrated with cloud services to provide self-service access to a broad range of reporting and analytics functions.

David Loshin


Squeeze Every Drop of Business Value from Your Data Lake

Data catalogs contribute ease, precision, and productivity of analytics, self-service, and governance to modern data platforms. Learn how a catalog can inventory data in a data lake for self-service data exploration and data-driven operations and help users find the right data quickly.

Philip Russom, Ph.D.


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