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With the global volume and complexity of data growing practically
by the hour, the world needs a platform that can actually harness
it, distill it and organize it in time to actually get some value
from it. From retail analysis trying to capture market share in a
sea of billions of records, to compliance agencies attempting to
detect needle-in-haystack stock fraud among the countless billions
of trade orders arriving daily, and internet traders and
advertisers sifting the ocean of web clicks for opportunity - among
only a few - what other technology but Netezza could master all
this, make sense of it, deliver the nuggets of gold from vast tons
of data "ore" - and still solve the world's problems before
bedtime? What's inside: A deeper dive into the mechanics and
pitfalls of migration, The advantages and disadvantages of
in-the-box data processing, a review of some ETL tool positives and
negatives, How-to's on set-based patterns like
slowly-changing-dimensions, change-data-capture, exception
handling, referential integrity and how to make it all
metadata-driven and metadata-aware, parameterized shell-scripting
examples, case-studies, vendor proof-of-concept tournaments and
converting our Netezza storage machine into a data processing
flow-based powerhouse. What's not in the book: a rehash of the
vendor user's guides. It's an appliance, and like a blender or
toaster, doesn't require deep technical detail to insure radical
success. Replete throughout is a consistent message of
transformation, certainly for data but also for people,
corporations, operations, our technology and technologists, all
leading to an impact on the data warehousing industry as a whole.
Large, established corporations are not only blinking, but changing
course. Appliances are the future of data warehousing, and the
future is already here.
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