Sectors

The secrets of designing and building big data apps

25th Dec `13, 03:16 AM in Sectors

Aaron Kimball co-founded WibiData in 2010. He has worked with Hadoop since 2007 and is a committer on…

BDMS
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Aaron Kimball co-founded WibiData in 2010. He has worked with Hadoop since 2007 and is a committer on the Apache Hadoop project.

Software applications have traditionally been perceived as a unit of computation designed and used to solve a problem. Whether an application is a CRM tool that helps manage customer information or a complex supply-chain management system, the problem it solves is often rather specific. Applications are also frequently designed with a relatively static set of input and output interfaces, and communication to and from the application uses specially designed (or chosen) protocols.

Applications are also designed around data. The data that an application uses to solve a problem is stored using a data platform. This underlying data platform has historically been designed to enable optimal data storage and retrieval. Somewhere in the process of storage and retrieval of data, an application applies computation is to produce results in the application.

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