RESEARCH & RESOURCES


Upcoming Webinars

TDWI On-Demand Webinars on Data Management, Analytics, & AI

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

Preparing Your Data Warehouse Environment for Big Data

Significant changes are afoot in data warehouse environments (DWEs). This is because organizations are evolving their DWEs so they can leverage big data for business value, practice advanced forms of analytics for new insights, scale up to larger user communities, enable self-service data exploration, and operate the business more competitively based on real-time and near-real-time data.

Philip Russom, Ph.D.


In-Memory Data Fabric: A Modern Approach to Data Warehouse Architecture

Defining the term data warehouse is getting more difficult. Many of the recent technology innovations in software and hardware have enabled a new generation of data warehouse architectures. In-memory processing coupled with today’s faster hardware gives new data warehouse architectures greater speed and scale.

Philip Russom, Ph.D.


Are Advanced Analytics Possible without a Data Scientist?

Data scientists are in high demand and companies are frantically looking for ways of overcoming the costs and shortage of experienced data science talent. To help solve this problem, both established and new start-up vendors are introducing products that claim to enable business users to do advanced and predictive analytics without the assistance of a data scientist.

Colin White


The Three Pillars of Agile Data Integration: Self Service, Rapid Data Set Prototyping, and Data Stewardship

Agile development methods—as applied in data disciplines—have experienced strong adoption by users in recent years, and for good reason. As more organizations “run the business” based purely on data (and compete and innovate), data management professionals are under increasing pressure to deploy data solutions into business use sooner, produce multiple solutions, and align data solutions with quickly evolving business goals. Hence, delivery speed, development productivity, and business alignment are the leading priorities (and benefits) for agile data management.

Philip Russom, Ph.D.


Graph-Based Analysis: Using Alternative Data Analytics to Analyze Behavior

Although many different techniques and technologies for big data appliances can increase scalable performance, the ways that certain applications are mapped to a typical Hadoop-style stack might limit scalability due to memory access latency or network bandwidth. Yet the promise of big data must go beyond increased scalability for known problems.

David Loshin


Crossing Healthcare Chasms with Information Integration Best Practices

Information integration is critical for becoming smarter with data. Across all industries, organizations want to use data analytics to discover how they can reduce costs without sacrificing quality and effectiveness. Firms both large and small want to pull diverse data streams together. Users can then uncover insights and innovate at a faster pace than their competition.

David Stodder


The Data Warehouse Modernization Tipping Point

Changes in the way that today’s business transpires have slowly been cutting away at the ability to meet fully the needs of data consumers. At some point, those who manage the data warehouse will hit a threshold or boiling point that will make modernization mandatory.

Philip Russom, Ph.D.


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