BI This Week


Beyond ETL: On Demand ETL and the Big Shift in BI and Analysis

An emerging trend -- "on-demand" ETL -- augurs a big shift in the way analysis and BI are performed and results disseminated.

Q&A: Return on Investment for Information Projects

Is ROI for BI projects practical or even do-able? Is there a science to calculating ROI, or should we just use gut feel? Consultant, author, and speaker William McKnight explains what you need to know about BI ROI.

Big Iron + Big Data = Big Skills Shortage

Finding the skills to support big data on the mainframe is tough and getting tougher. What organizations need to do to address the big data skills shortage.

Adopting a More Rigorous Approach to BI

BI is increasingly taking on the metaphor of the scientific method: a model in which hypotheses can be tested and proven.

Big Data Management: Deploying Best-of-Breed Solutions to Do More with Less

Savvy data mangers are using multiple approaches to maximize the strength of each technology.

Cutting through the Hype of Big Data

A key to getting the most from big data is to separate hype from facts. TDWI World Conference keynoter Bill Franks helps you discover which is which.

Q&A: Splunk Helps Users Mine Insights from Machine Data

Unstructured data generated by machines is one of the fastest-growing and most pervasive areas of big data, and one of the most valuable, explains Raanan Dagan of Splunk

The Perfect (Data) Storm: Moving from Automation to Leverage

We examine why businesses need to provide a solid data foundation to their data-leveraging initiatives. The good news is that this same information architecture can be used for data leveraging strategies.

Hadoop Reconsidered: A Data Management Perspective

After half a decade, Hadoop remains a divisive technology. Some data managers think Hadoop has the potential to be hugely transformative; others see it as a more pedestrian proposition.