Oct 1, 2019
Big Data Testing Using iCEDQ
While testing Big Data, one of the primary and foremost concern is the testing speed. iCEDQ Big Data Testing Tool uses various rules like Checksum, Cluster Validation, Cluster Recon, Validation, Recon, and Script rules to establish the integrity and validity of the data. It is not possible to test Big Data manually, so iCEDQ automates the Big Data Testing efficiently with the capability of testing any size of data.
It utilizes the Apache Spark Cluster to evaluate every rule or group of rules (Regression pack) efficiently. It uses parallel processing (Multithreading) to use all the available resources skillfully. You can use multiple connectors like Hive, Impala, Cassandra, MongoDB, HDFS, and many more.
