Netezza Transformation: Taming the Dragon Without Alchemy, Sorcery or Strange Potions

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.