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The concept of data warehousing dates back to the late 1980s [7] when IBM researchers Barry Devlin and Paul Murphy developed the "business data warehouse". In essence, the data warehousing concept was intended to provide an architectural model for the flow of data from operational systems to decision support environments .
Netezza Massive Parallel Processing Data Warehouse Appliance. IBM Netezza (pronounced ne-teez-a) is a subsidiary of American technology company IBM that designs and markets high-performance data warehouse appliances and advanced analytics applications for the most demanding analytic uses including enterprise data warehousing, business intelligence, predictive analytics and business continuity ...
Db2 Warehouse can be deployed as software only, as an appliance and in Intel x86, Linux and mainframe platforms. Built upon IBM's Common SQL engine, Db2 Warehouse queries data from multiple sources—Oracle, Microsoft SQL Server, Teradata, open source, Netezza and others.
"Watson will help promote IBM's business intelligence, data analytics and data-warehousing software sales. It's all the software you want to use as a business solution," says Louis Miscioscia, an ...
"Data warehouse appliance" is a term coined by Foster Hinshaw, [1] [2] the founder of Netezza.In creating the first data warehouse appliance, Hinshaw and Netezza used the foundations developed by Model 204, Teradata, and others, to pioneer a new category to address consumer analytics efficiently by providing a modular, scalable, easy-to-manage database system that’s cost effective.
IBM introduced the Balanced Configuration Unit (BCU) for AIX in 2005, and the BCU for Linux in 2006. The BCU is a "balanced" combination of computer server hardware (cpus, I/O channels , and storage) combined with DB2 Data Warehouse Edition (DB2 DWE) software to form a data warehouse "appliance like" system to compete with systems such as ...
IBM Cognos Analytics with Watson (aka Cognos Analytics, and formerly known as IBM Cognos Business Intelligence) is a web-based integrated business intelligence suite by IBM. It provides a toolset for reporting , analytics , scorecarding , and monitoring of events and metrics.
IMS complements IBM Db2, IBM's relational database system introduced in 1982. IMS generally performs faster than Db2 for common tasks, but may require more programming effort to design and maintain for non-primary duties. A relational data warehouse may be used to supplement an IMS database. For example, IMS may provide primary ATM transactions ...