Testing Big Data: Three Fundamental Components

| September 26, 2017

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Big Data is a big topic in software development today. When it comes to practice, software testers may not yet fully understand what Big Data is exactly. What testers do know is that you need a plan for testing it. The problem here is the lack of a clear understanding about what to test and how deep inside a tester should go. There are some key questions that must be answered before going down this path. Since most Big Data lacks a traditional structure, what does Big Data quality look like? And what are the most appropriate software testing tools?

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WANdisco

WANdisco (Wide Area Network Distributed Computing) provides enterprise-ready, non-stop software solutions that enable globally distributed organizations to meet today’s data challenges of secure storage, scalability and availability. WANdisco’s products are differentiated by the company’s patented, active-active data replication technology, serving crucial high availability (HA) requirements, including Hadoop Big Data and Application Lifecycle Management (ALM). Fortune Global 1000 companies, including AT&T, Motorola, Intel and Halliburton, rely on WANdisco for performance, reliability, security and availability…

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