Data warehouse appliance and Massively parallel

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Data warehouse appliance and Massively parallel

Data warehouse appliance vs. Massively parallel

In computing, the term data warehouse appliance (DWA) was coined by Foster Hinshaw for a computer architecture for data warehouses (DW) specifically marketed for big data analysis and discovery that is simple to use (not a pre-configuration) and high performance for the workload. In computing, massively parallel refers to the use of a large number of processors (or separate computers) to perform a set of coordinated computations in parallel (simultaneously).

Similarities between Data warehouse appliance and Massively parallel

Data warehouse appliance and Massively parallel have 5 things in common (in Unionpedia): Computing, Microsoft, Netezza, Shared-nothing architecture, Teradata.

Computing

Computing is any goal-oriented activity requiring, benefiting from, or creating computers.

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Microsoft

Microsoft Corporation (abbreviated as MS) is an American multinational technology company with headquarters in Redmond, Washington.

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Netezza

IBM Netezza (pronounced ne-teez-a) designs and markets high-performance data warehouse appliances and advanced analytics applications for uses including enterprise data warehousing, business intelligence, predictive analytics and business continuity planning.

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Shared-nothing architecture

A shared-nothing architecture (SN) is a distributed-computing architecture in which each node is independent and self-sufficient, and there is no single point of contention across the system.

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Teradata

Teradata Corporation is a provider of database and analytics-related products and services.

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The list above answers the following questions

What Data warehouse appliance and Massively parallel have in common
What are the similarities between Data warehouse appliance and Massively parallel

Data warehouse appliance and Massively parallel Comparison

Data warehouse appliance has 48 relations, while Massively parallel has 30. As they have in common 5, the Jaccard index is 6.41% = 5 / (48 + 30).

References

This article shows the relationship between Data warehouse appliance and Massively parallel. To access each article from which the information was extracted, please visit:

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