RESEARCH & RESOURCES

Featured Webinars

  • Six Steps for Generating Business Value from Operational IoT Data

    Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility. February 26, 2019 Register

  • Cloud Data Warehouses: Are They Right for Your Organization?

    Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered. February 28, 2019 Register

  • Modernizing Metadata

    Learn about innovations in metadata tools, including smart tool automation to improve developer productivity (thanks to smart algorithms and AI) and address data lineage as well as new data semantics to enhance business metadata and improve self-service data exploration and analytics. March 7, 2019 Register

Upcoming Webinars

  • Six Steps for Generating Business Value from Operational IoT Data

    Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility. February 26, 2019 Register

  • Cloud Data Warehouses: Are They Right for Your Organization?

    Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered. February 28, 2019 Register

  • Modernizing Metadata

    Learn about innovations in metadata tools, including smart tool automation to improve developer productivity (thanks to smart algorithms and AI) and address data lineage as well as new data semantics to enhance business metadata and improve self-service data exploration and analytics. March 7, 2019 Register

  • How to Use Data Prep to Accelerate Cloud Data Lake Adoption

    Learn how you can address data prep challenges as you move to the cloud for data management and how you can turn raw, cloud-based source data into output suited for analytics and ML. Explore the tech trends shaping data prep for cloud data lakes and data warehouses. March 12, 2019 Register

  • Cloud Data Lakes: Enabling New Business Analytics at High Scale and Low Cost

    This webinar will discuss the business benefits of data lakes, the benefits of deploying a data lake in the cloud (and how use cases and technology requirements affect your platform choice), and why substantial data integration is necessary. March 20, 2019 Register

  • Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

    Learn how your organization can create an end-to-end strategy that aligns analytics in the cloud with data management. We’ll discuss key issues in supporting today’s analytics workloads, including cloud data warehousing, data preparation and transformation, and visual data interactivity. March 21, 2019 Register

  • Embedded Analytics: Unleashing Insights Everywhere

    Embedded analytics brings the results of analysis to more decision makers quickly, resulting in smarter decisions faster. No wonder it’s a top strategy for 2019. Learn what embedded analytics is, how it makes such a big impact, how it’s used in applications, and the move toward analytics automation. April 2, 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


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