What is big data testing?

Big Data Testing is the process of verifying and validating the quality, accuracy, and reliability of large and complex data sets and the systems that process them. It involves testing data ingestion, processing, storage, and retrieval to ensure that big data applications function as expected. This type of testing also checks for data integrity, performance, and scalability issues in big data environments such as Hadoop, Spark, or NoSQL databases. The goal is to ensure that data-driven applications deliver correct and meaningful insights.