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RESEARCH & RESOURCES


Featured Webinars

  • From Migration to Modernization: Boosting Your Data Infrastructure for Success

    Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

  • Driving Data Quality at Scale with High-Performance Observability

    In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024

  • Building Sophisticated AI Business Applications in the Cloud

    In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 2024

Upcoming Webinars

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

Improving Ad Hoc Query Speed for Hadoop Data

As user organizations dive deeper into big data analytics, many are depending more heavily than ever on SQL-based, ad hoc queries as their primary method for data exploration and discovery analytics (sometimes called investigative analytics). At the same time, the same organizations are adopting or considering Hadoop as their primary storage platform for big data. SQL-based analytics and Hadoop are good choices in isolation, but bringing them together has a catch: Hadoop’s support for queries is minimal at the moment.

Philip Russom, Ph.D.


Using Analytics to be Predictive and Proactive

Organizations today need to get ahead of events so they can adjust decisions about resources, personnel, up-sell and cross-sell offers, fraud and abuse detection, and more in dynamic fashion. Analytics can play a key role in bringing predictive insights to executives and managers. With these insights coupled with continuous, real-time data views from business and operational intelligence systems, organizations can be “proactive”—that is, they can do more than just react after the fact to events and market changes, and instead shape their own destiny.

David Stodder


Busting 10 Myths about Hadoop

Although Hadoop and related technologies have been with us for several years now, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce.

Philip Russom, Ph.D.


Bridging the Gap Between Business and IT

Business-IT partnership is one of the most critical aspects of successful business intelligence solutions aligned with the goals of the business. Yet most companies continue to report painful disconnects between the business and IT.

Cindi Howson


Data Visualization and Discovery for Better Business Decisions

Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant trends and patterns in data that they would have struggled to see in voluminous tabular reports and spreadsheets. As big data volumes grow and organizations seek to integrate diverse and complex information, users’ ability to comprehend information quickly and put it to productive use hinges on data visualization.

David Stodder


Getting Started With Big Data and Analytics

Big data and analytics have received significant attention in the media recently, and TDWI has seen growing adoption of these technologies by organizations looking to become more competitive. Organizations are using big data with analytics to extend current initiatives in new and innovative ways.

Fern Halper, Ph.D., Colin White


Data Governance – A Critical Component of Business Success

Certainly, every business leader wants to have trusted, secure, consistent, and usable information, but data volumes and systems complexity have been increasing for years. Plus, most organizations rarely prioritize data governance, so why care now?

Claudia Imhoff, Ph.D.


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