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RESEARCH & RESOURCES

Featured Webinars

Upcoming Webinars

  • Expert Panel: Real-Time Analytics Use Cases and Architectures

    In this expert panel, TDWI senior research director James Kobielus will discuss the chief enterprise use cases for real-time analytics and the principal architectural considerations for data, analytics, and IT professionals seeking to optimize their infrastructures for these applications. December 9, 2024 Register

International Broadcasts

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

Big Data Evolution: The Big Data Platform Grows Up

The big data software ecosystem has evolved into a robust framework for developing analytics applications spanning a wide range of complexity. At the same time, big data deployments more commonly center on the platform as an expansion of the corporate file system. The concept of the data lake resonates with enterprises desiring to offload data assets into a common platform for analysis, yet the analyses often remain batch-oriented—summarizations, aggregations, and other ETL-like tasks.

David Loshin


Developing Better Customer-Facing Analytics

The vast amount of information now available to organizations is spurring a push toward leveraging data to understand customers more completely. Organizations can gain insights from the data they collect, but developing higher retention and better competitive advantage also means providing customers with access to the analytics that apply to them. This is becoming prevalent in vertical markets such as data service providers, education, health care, utilities—the list is endless.

Lyndsay Wise


Real-Time Data, BI, and Analytics: Accelerating Business to Leverage Customer Relations, Competitiveness, and Insights

The pace of business continues to accelerate, such that organizations must now react faster and more frequently to customer interactions, service-level agreements, operational commitments, competitive pressures, and other time-sensitive issues. With technologies maturing, organizations must evaluate the options they need for the real-time delivery, access, and analysis of information, if they are to reduce business latency or eliminate it.

Philip Russom, Ph.D., Fern Halper, Ph.D., David Stodder

Content Provided by TDWI and IBM, Actian, Cloudera, Datawatch, HP, Tableau Software, Treasure Data, Striim TDWI, IBM, Actian, Cloudera, Datawatch, HP, Striim, Tableau Software, Treasure Data


Exploring the Benefits of the Modernized Data Warehouse

Traditional data warehouses are becoming even more complex as they strain against the weight of today’s data explosion.

Philip Russom, Ph.D.


Visual Data Discovery for Self-Service BI

A picture can paint a thousand numbers and broaden the appeal of BI tools. Specialty BI vendors are growing at a rapid pace and visual discovery has become a critical component of the BI platform. BI platform vendors have rushed to add visual discovery capabilities to their portfolio.


Making Data Beautiful for Business Users: Tips for Creating Rich, Visual, and Actionable User Experiences

Data “democratization” is here. Data is in demand today from an ever-widening community of users who seek data-driven insights to inform critical decisions and actions. To move business intelligence and analytics beyond just the specialists, applications must be “beautiful” and the user experience must be rich, visual, interactive, and actionable.

David Stodder


The Role of Hadoop in BI and Data Warehousing

Increasing interest in using Hadoop for data management, transformation, and analysis has led to significant development efforts by commercial vendors to enhance and extend the open source Apache Hadoop framework and offer a range of different Hadoop solutions. Many of these solutions can be used to enhance and extend the current BI and data warehousing environment.

Colin White


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