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In this comprehensive beginners guide to big data testing, we cover concepts related to testing of big data applications. This tutorial is ideal for software testers and anyone else who wants to understand big data testing but is completely new to the field. With the exponential growth in the number of big data applications in the world, the demand and opportunity for testers who have knowledge of testing big data applications has increased. What are the steps or processes to test big data applications? We answer all this and more in our big data testing tutorial below.
Big Data refers to large volume of data, that cannot be processed using traditional databases. However when we have large volume of data then traditional databases will not be able to handle the data.
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Traditional databases are good at working with structured data that can be stored in rows and columns. However, if we have unstructured data that does not follow a structure then using a relational database is not be the right choice. In case of Big data we have large amounts of data which can be in any format like images, flat files, audio etc whose structure and format may not be the same for every record. The size of the big data, the volume of data that gets created from time to time, may be significantly larger compared to traditional databases.