What is Big Data Testing?
There are several areas in Big Data where big data testing strategy is required. There are various types of testing in Big Data projects such as Database testing, Infrastructure, and Performance Testing, and Functional testing. Big Data defined as a large volume of data structured or unstructured. Data may exist in any format like flat files, images, videos, etc.
The primary Big data characteristics are three V’s – Volume, Velocity, and Variety where volume represents the size of the data collected from various sources like sensors, transactions, velocity described as the speed (handle and process rates) and variety represents the formats of data.
Learn more about Continuous Load Testing in this insight. The primary example of Big Data is E-commerce sites such as Amazon, Flipkart, Snapdeal and any other E-commerce site which have millions of visitors and products.
What Big Data Testing Offer?
- Data Migration Testing
- Big Data Ecosystem Testing
- Data Ingestion Testing
- Data Processing Speed
- Data loading and Throughput
- Data Processing Testing
- Data Storage Testing
- Data Migration Testing
- Implement Live integration
- Big Data Sources Extraction Testing
- Data Validation
- Process Validation
- Output Validation
- Data Ingestion Testing