Access "Data warehouses must learn new tricks in 'big data' era"
This article is part of the Issue 6, June 2012 issue of Data warehouses must learn new tricks in Big Data era
The buy vs. build debate in data warehousing has taken a wickedly humorous turn with the choice being rewritten as buy vs. suffer. To wit: Either buy packaged systems, even if some modest amount of integration is required, or suffer the pains of reinventing the wheel. But for high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data, the pendulum is swinging back in the direction of build. The drivers? The usual suspects: growing data volumes (accompanied by high numbers of concurrent users and a high velocity of update activity), technology innovations and business opportunities. These variables are challenging old data warehouses to adapt to new environments and acquire new tactics, techniques and tricks. Let’s look at some of the numbers. The exponential growth of data is staggering. A sense of the continuing explosion is provided by an estimate in a McKinsey Global Institute report published in May 2011 that the 800 exabytes of data now generated in a ... Access >>>
Premium Content for Free.
Riding herd on Excel BI use isn't easy, but it's necessary
by Alan R. Earls, Contributor
Eradicating the use of Excel in business intelligence applications turned out to be a pipe dream in most organizations. Now the focus is on controlling it -- as best you can.
- Riding herd on Excel BI use isn't easy, but it's necessary by Alan R. Earls, Contributor
Data warehouses must learn new tricks in 'big data' era
by Lou Agosta
These databases, mammoth by definition, are evolving to accommodate the influx of new data types, technical innovations and increasing volumes brought on by the rise of “big data.”
Universities need push to develop analytical talent
by Richard Herschel
A shortage of workers with analytical skills threatens to derail efforts to derive business value from “big data.” It’s time for colleges to do more on BI and analytics education.
- Data warehouses must learn new tricks in 'big data' era by Lou Agosta
More Premium Content Accessible For Free
Technological buzz, like that surrounding Hadoop, can easily blur the lines between software benefits and drawbacks. Hadoop clusters make it easier ...
With adoption of cloud BI services hovering at 33% for the past few years, this report examines the market trends for implementing cloud business ...
Location intelligence goes beyond finding a good restaurant. In business, location intelligence technologies can boost profits and decrease costs. ...