IBM PureData System for Analytics Architecture: A Platform for High Performance Data Warehousing and Analytics

An IBM Redguide publication


Success in any enterprise depends on having the best available information in time to make sound decisions. Anything less wastes opportunities, costs time and resources, and can even put the organization at risk. But finding crucial information to guide the best possible actions can mean analyzing billions of data points and petabytes of data, whether to predict an outcome, identify a trend, or chart the best course through a sea of ambiguity. Companies with this type of intelligence on demand react faster and make better decisions than their competitors.

IBM PureData System for Analytics, transforms the data warehouse and analytics landscape with a platform built to deliver extreme, industry-leading price-performance with appliance simplicity. It is a new frontier in advanced analytics, with the ability to carry out monumental processing challenges with blazing speed, without barriers or compromises. For users and their organizations, it means the best intelligence for all who need it, even as demands for information escalate.

This IBM Redguide™ publication introduces the Netezza Asymmetric Massively Parallel Processing™ (AMPP™) architecture, and describes how the system orchestrates queries and analytics to achieve its unprecedented speed. You will see how the software and hardware come together to extract the maximum utilization from every critical component, and how a system optimized for thousands of users querying huge data volumes really works. It is a unique data warehouse and analytics platform with unparalleled price-performance, ready for today's needs and tomorrow's challenges.

Table of contents

Executive overview
Architectural principles
System building blocks
Where extreme performance happens: inside an S-Blade
Turbocharging the S-Blades: the power of Netezza technologies FAST Engines
Orchestrating queries on PureData System for Analytics


Publish Date
12 November 2014

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