Big Data Automation QA/Testing

Big Data Automation QA/Testing

  • Post category:Blog

Big data is a collection of large datasets that cannot be processed using traditional computing techniques. Testing of these datasets involves various tools, techniques, and frameworks to process. Big data relates to data creation, storage, retrieval and analysis that is remarkable in terms of volume, variety, and velocity.

At IrisLogic we are experts in Big data testing using inhouse developed automation frameworks. At IrisLogic, we have the frameworks to make these processes and automations simple and efficient and as data engineering and data analytics advances to the next level. Our engineers have experience in automating QA for User Interface, back end data queries, and web services API. Our testing platform and framework reduces time to write scripts and test considerably, saving customers precious time and resources.

Architecture Testing is the important phase of Big data testing, as poorly designed systems may lead to unprecedented errors and degradation of performance. Performance testing for Big data includes verifying Data throughput, Data processing, and Sub-component performance. IrisLogic is a perfect partner to navigate you through this journey of BigData Application and Infrastructure Manual and Automated testing using state of the art framework, platforms, and expertise. We are well versed in all areas of Hadoop, MapReduce, Spark, YARN, Cloudera, Kafka, Hive, HBase, Tez, Pig, Zookeeper, Sqoop, Flume, Oozie and much more.

IrisLogic has been providing Big Data and Testing services to some of leading financial, manufacturing, and IT companies. Contact us today to find out more and how we can partner to help you navigate through this journey.