Exploring the Concept of Big Data Automation Testing

What is Big Data? Big Data is defined as "Big Data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.". This is a term used to refer to the enterprise data today that is immensely diverse, enormous in volume and is growing at an unprecedented rate. When we say that this data is diverse, what we mean is that the data is in a multitude of different formats which makes it impossible to analyse using the traditional keyword-based approach.

The global big data market value is projected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025. - Globenewswire

Big Data applications are the applications that are involved in the analysis of Big Data in order to derive insights from this large volume of data. The rise of the Internet of Things (IoT) has added to the data exchange between applications, thus making Big Data testing all the more significant.

By 2025, there will be more than 75 billion Internet of Things (IoT) connected devices in use. - Statista

Big Data Automation Testing is the process of testing Big Data applications from the data processing point of view. This domain is all about using the most advanced automation testing tools for conducting various forms of testing on the big data applications – primarily performance testing and functional testing. QARA Enterprise is an example of a powerful test automation tool for effective Big Data automation testing.

Big Data testing is different from other types of testing because it focuses on the data. The testing process is focused on how the data is managed within the application. Also, another significant factor that comes into play is the quality of data. The following are the few parameters used to determine the application data quality.

  • Duplication of data
  • Data conformity
  • Data accuracy
  • Data validity
  • Data completeness

Now that we have just learnt about the purpose of Big Data automation testing, let us take a quick look at the process. The process of Big Data Automation Testing using an advanced automation platform like QARA Enterprise consists of three steps and these are explained below.

Step 1: Validation of Data


This is the first step and is also referred to as the Pre-Hadoop stage. What makes this an important step is the fact that it involves validating all the data that comes from multiple sources, before all of this data enters the system. This way, it can be ensured that the data that goes into the system successfully meets all the parameters of data quality.

Step 2: MapReduce Validation

The second step is dedicated to the validation of MapReduce which is a program model designed for processing Big Data sets with a parallel algorithm or cluster. It involves application of business logic at every point possible, for the validation of data.

Step 3: Validation of Outputs

Last but not the least, the validation of outputs is another significant step in Big Data testing. This stage involves the verification of the rules applied to the data.

So, we see that Big Data Automation Testing is a simple process that can bring significant benefits to the enterprise as we live in a data-driven world. Want to know how QARA Enterprise can help you get started with Big Data testing? Visit www.qaratest.com or drop us an email at info@qaratest.com and our team will get in touch with you.
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