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“Big data creates a new layer in the economy which is all about information, turning information, or data, into revenue. This will accelerate growth in the global economy and create jobs. In 2016, big data is forecast to drive $100 billion of IT spending” – Gopi
Data science is all about trying to create a process that allows you to chart out new ways of thinking about problems that are novel, or trying to use the existing data in a creative atmosphere with a pragmatic approach.
Businesses are struggling to grapple with the phenomenal information explosion. Conventional database systems and business intelligence applications have given way to horizontal databases, columnar designs and cloud-enabled schemas powered by sharding techniques.
Particularly, the role of QA is very challenging in this context, as this is still in a nascent stage. Testing Big Data applications requires a specific mindset, skillset and deep understanding of the technologies and pragmatic approaches to data science. Big Data from a tester’s perspective is an interesting aspect. Understanding the evolution of Big Data, What is Big Data meant for, Why Test Big Applications is fundamentally important.
The following are some of the needs and challenges that make it imperative for Big Data applications to be tested thoroughly.
An in-depth understanding of the 4 Nouns of Big Data is a key to successful Big Data Testing.
Data Integration – Drawing large and disparate data sets together in real time.
Current data integration platforms which have been built for an older generation of data challenges, limit IT’s ability to support the business. In order to keep up, organizations are beginning to look at next-generation data integration techniques and platforms.
Ability to understand, analyze and create test sets that encompass multiple data sets is vital to ensure comprehensive Big Data Testing.
Testing Data Intensive Applications and Business Intelligence Solutions
QAP leverages its experience of having tested large scale data warehousing and business intelligence applications to offer a host of Big Data Testing services and solutions.
Testing New Age Big Data Applications – QA Programmer Testlets
QA Programmer offer point solutions for all the problems that a new age Big Data Application would have to be go through before being certified with QA levels that match industry standards.
To know more about how Cigniti can help you take advantage of Large Data Sets through a comprehensive testing of your Big Data Application, write to firstname.lastname@example.org
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