BIG DATA Testing
The outburst of enormous digital data characterized by volume, variety and velocity of creation contributes to the evolution of Big data. This voluminous data comprises of both structured and unstructured forms of data and with the rapid proliferation of data, grows bad data.
How critical is testing this big data!
The objective of big data testing is to test data and processing integrity and verify data completeness, ensure data transformation and data quality.
Data quality involves checking various characteristics like conformity, accuracy, duplication, consistency, validity, etc.
99 Percentage's Big Data testing team aims to provide rapid localization of data issues between points
99 Percentage offers Automated Big Data testing solution that helps you verify structured and unstructured data sets, schemas, approaches and inherent processes residing at different sources in your application.
99 Percentage's highly skilled testing resources can efficiently test the processing of data, be it in batch, real time or interactive, using commodity cluster and other supportive components.