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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

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.

Philip Russom, Ph.D.


Smart Data Discovery and Transparency for Complying with CCPA, GDPR, and other Privacy Regulations

Learn about the challenges of data privacy and protection regulations such as CCPA and GDPR and the steps necessary to comply. We will examine technologies and best practices to improve compliance and govern the range of sensitive data for trusted BI and analytics processes.

David Stodder


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.

David Stodder


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.

Philip Russom, Ph.D.


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.

Fern Halper, Ph.D.


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.

Fern Halper, Ph.D.


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.

David Stodder


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