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A data sandbox, in the context of big data, is a scalable and developmental platform used to explore an organization's rich information sets through interaction and collaboration. It allows a company to realize its actual investment value in big data.
A data sandbox is primarily explored by data science teams that obtain sandbox platforms from stand-alone, analytic datamarts or logical partitions in enterprise data warehouses.
Data sandbox platforms provide the computing required for data scientists to tackle typically complex analytical workloads.
A data sandbox includes massive parallel central processing units, high-end memory, high-capacity storage and I/O capacity and typically separates data experimentation and production database environments in data warehouses.
The IBM Netezza 1000 is an example of a data sandbox platform which is a stand-alone analytic data mart. An example of a logical partition in an enterprise data warehouse, which also serves as a data sandbox platform, is the IBM Smart Analytics System.
A Hadoop cluster like IBM InfoSphere BigInsights Enterprise Edition is also included in this category.