Architecting A Big Data Platform for Analytics

For many years, companies have been building data warehouses to analyse business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organisations to use business intelligence (BI) tools to analyse, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimised for more detailed multi-dimensional analysis.

Today, we are over twenty years into data warehousing and BI. In that time, many companies have built up multiple data warehouses and data marts in various parts of their business. Yet despite the maturity in the market, BI remains at the forefront of IT investment. Much of this demand can be attributed to the fact that more and more data is being created. However it is also the case that businesses are moving away from running on gut feel towards running on detailed factual information. In this vibrant market, software technology continues to improve with advances in analytical relational database technology, as well as the emergence of mobile and collaborative BI.

IBM PureData System for Analytics (powered by Netezza technology)

IBM PureData System for Analytics powered by Netezza technology is the next generation Netezza Appliance optimised for advanced analytical workloads on structured data.

IBM PureData System for Analytics is a compact, low cost data warehouse and analytic hardware appliance. It is scalable from 100 gigabytes to 10 terabytes of user data capacity and is fully compatible with the IBM Netezza 1000 and IBM Netezza High Capacity Appliance.

The PureData System for Analytics is a purpose-built, standards-based data warehouse appliance that integrates database, server, storage and advanced analytic capabilities into a single system. It scales from 1 TB to 1.5 petabytes
includes special processors to filter data as it comes off disk so that only data relevant to a query is processed in the RDBMS. The IBM Netezza Analytic RDBMS known as Netezza Platform Software (NPS) requires no indexing or
tuning which makes it easier to manage. It is designed to interface with traditional BI tools including IBM Cognos BI platform and also runs IBM SPSS developed advanced analytical models deployed in the database on large volumes of data.

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