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RESEARCH & RESOURCES


Featured Webinars

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

Data Exploration and Analysis in the Age of Big Data: Finding Information and Gaining Results Faster than You Thought Possible

Organizations today are seeking to drive deep analysis, detect patterns, and find anomalies across terabytes or petabytes of raw big data. Whether you’re trying to discover the root cause of the latest customer churn or the hidden costs that are eroding the bottom line, you need analytic tools and techniques that work well with unstructured and multi-structured data in its original raw form. Apache Hadoop is maturing as a loosely coupled stack for inexpensive batch storage, where you don't need to know data formats or schemas to store and process the data.

Philip Russom, Ph.D.


The Role and Benefits of In-Memory Computing for BI Analytics

There is considerable buzz in the IT industry about in-memory technologies. At the same time, there is considerable confusion about the role and benefits of these technologies in business intelligence processing and performance. A major reason for this confusion is that in-memory computing means different things to different people.

Colin White


Using Enterprise Information Governance to Balance Enterprise Information Management

Organizations are increasingly recognizing the intrinsic value in growing information resources to drive decisions on product and service innovation, customer relationships, operations, and value-chain activities. Yet management of information from a systemic perspective has historically reflected a dichotomy between the business side of the organization, where information is created, shared, delivered, and discovered, and the IT department, where information/data is being stored, protected, secured, and preserved.

David Loshin


Using Master Data to Supplement Your Company’s Customer Centricity Strategy

Master data management (MDM) comprises a robust set of processes, techniques, and technologies. MDM has matured to the point where organizations now recognize a need to transition away from “integration” and move toward “information use.” That implies a more informed concentration on customer data visibility to support corporate directives for improving the customer experience in ways that create and maintain corporate and customer value.

David Loshin


5 Best Practices for Data Visualization Success

Today's organizations need to display data in interesting, meaningful ways in order to empower users to take action and make good business decisions. Often, difficulties arise when choosing the correct visualization to best illustrate the important message the data provides.

Lyndsay Wise


Fostering the Business and IT Partnership for Bigger BI Impact

Business-IT partnership is one of the most critical aspects to successful business intelligence solutions, and yet many companies continue to report painful disconnects between the business and IT. The business wants fast time to value. IT seems to act only as a barrier and gatekeeper to data.

Cindi Howson


Hadoop Best Practices for Data Warehousing and Analytics

According to a 2012 TDWI survey about Hadoop, only 10 percent of respondents have the Hadoop Distributed File System (HDFS) in production today, while a whopping 63 percent expect to deploy HDFS within three years. The survey reveals that user organizations are aggressively adopting HDFS and other Hadoop technologies for data warehousing, analytics, and other purposes. Organizations in this situation are completely new to this technology, so they need to educate themselves quickly about the best practices that are now emerging for Hadoop, especially in the context of data warehousing and analytics.

Philip Russom, Ph.D.


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