Talking' Bout a Revolution
This paper explains why the market for Business Intelligence
software is ripe for change. The challenges implementing and using
traditional OLAP technology have troubled organizations for too long.
People want, and deserve, analysis that everyone in an organization –
not just the chosen few – can use.
In-Memory Analysis is poised to revolutionize the Business
Intelligence (BI) industry as it becomes the predominate approach. The
BI industry is a major focus for organizations making investments, and
according to Gartner, “demand for fast queries against big datasets,
coupled with lower-priced 64-bit computing will increase the use of
in-memory technology.” The analyst firm expects that “by 2012, 70% of
Global 1000 organizations will load detailed data into memory as the
primary method to optimize BI application performance.”
When the BI space began to emerge 20 years ago, memory was expensive
and processing speeds were slow. As such, entrants into the space were
constrained in how they might technically approach so-called
multi-dimensional analysis. Specifically, they were forced to employ a
“precalculation” approach that involved the use of “cubes” to organize
and store the results of these pre-calculations. While the results
appeared to the user to be instantaneous, the main challenge with this
so-called “on-line analytical processing” (OLAP) approach was around
the time and cost associated with defining and redefining cubes.
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