{"id":5656,"date":"2014-11-11T06:32:40","date_gmt":"2014-11-11T01:02:40","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=5656"},"modified":"2025-04-01T15:59:53","modified_gmt":"2025-04-01T10:29:53","slug":"what-is-data-sandbox","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/what-is-data-sandbox\/","title":{"rendered":"What is Data Sandbox?"},"content":{"rendered":"

If you are working with Big Data or advanced analytics, this is one term you will invariably come across – the data sandbox. The term takes its cue from the traditional sandbox, designed to prevent sand from getting mixed with other on-site material while the child plays. The \u2018data sandbox\u2019 is similarly devised to enable free experimentation of data in an isolated environment.<\/p>\n

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Initially this functioned as a working directory or a\u00a0test server to serve as a testing environment for data and queries. Later, it assumed importance in the real-time analytic environment preventing incoming data from affecting a live system. The traditional approach to data sandboxes often resulted in creation of IT \u2018shadow systems\u2019 limiting analytics maturity. This led to the creation of the analytic sandbox, considered critical to every Big Data system today.<\/p>\n

Techopedia<\/a> defines the data sandbox<\/em> as<\/p>\n

\u201ca scalable and developmental platform used to explore an organization’s rich information sets through interaction and collaboration.\u201d<\/p>\n

Components of a Sandbox<\/strong><\/p>\n

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In the context of Big Data<\/strong><\/p>\n

The data sandbox<\/a> is obtained \u201cfrom stand-alone, analytic datamarts or logical partitions in enterprise\u00a0data\u00a0warehouses, providing the computing required for data scientists\u201d. Data sandboxes enable analysts to dig deep into corporate information across various high powered computing technologies.<\/p>\n

This article<\/a> elucidates how the auction site eBay uses data sandbox environment to analyze its more than 50 terabytes of data a day, keep data movement down and reduce the need for copies and storage in other systems.<\/p>\n

Another post in Oracle<\/a> describes the data sandbox as a non-operational environment\u00a0for business analysts and data scientists to test ideas, manipulate data and model “what if” scenarios without placing computational load on the core operational processes \/ putting the central EDW at risk. So at any given time an organization may run any number of analytical experiments spread across hundreds of sandboxes.<\/p>\n

Deployment options<\/strong><\/p>\n

The Sandbox platform can be deployed in various architectural modes, depending upon requirements of hosting, storage and processing.<\/p>\n