Database Reference
In-Depth Information
4
A Big Data Platform
for High-Performance
Deep Analytics:
IBM PureData Systems
Data warehousing
systems and technologies are intended to give orga-
nizations access to information on demand, help them react to it faster, and
facilitate quicker decisions. Indeed, the language used to describe the size
of data warehouses has changed from gigabytes to terabytes and petabytes,
workloads have evolved from being primarily operational to increasingly
analytic, and numbers describing concurrency have gone from hundreds to
thousands. These changes create a realization for many that the traditional
approaches to data warehousing can't scale to meet today's challenges.
Organizations expect that when they need critical information urgently,
the platform that delivers it should be the last thing on their minds. After all,
when you turn on the lights at your house, do you consider the wiring and
circuitry that makes it happen? Obviously not. You expect to be able to con-
sume what you need to get the job done without effort (well, you have to flip
the light switch, but you get the point). To support the escalating complexity,
concurrency, and volumes of today's data warehouses, IT organizations are
demanding a platform that's simple, reliable, and able to handle almost any
workload without complexity getting in the way.
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