What is Big Data?
Big Data refers to a large volume of data, that cannot be processed using traditional databases. When we have reasonable amounts of data we typically use traditional relational databases like Oracle, MySQL, SQL Server to store and work with the data. However when we have a large volume of data then traditional databases will not be able to handle the data. Big Data Testing
Big data is characterized by the 3 V’s – Volume, Velocity, and Variety.
- Volume: The volume of data collected is organizations is large and comes from different sources like sensors, meter readings, business transactions, etc
- Velocity: Data is created at high speed and has to be handled and processed quickly. Instruments like IoT devices, RFID tags, smart meters, and others lead to automated generation of data at unprecedented speed
- Variety: Data comes in all formats. It can be in audio, video, numeric, text, email, satellite images, atmospheric sensors, etc.
What is Big Data Testing?
BigData testing is defined as the testing of Bigdata applications. Big data is a collection of large datasets that cannot be fixed using traditional computing techniques. Such huge data that is collected needs to stored, analyzed and retrieved strategically. They undergo various testing procedures to understand their characteristics and usage. testing of these datasets involves various tools, techniques, and frameworks to process. Big data relates to data creation, storage, retrieval, and analysis that is remarkable in terms of volume, variety, and velocity.
Types of Big Data Testing
There are several types of testing used for testing each characteristic of the data. The following smart art will help you with types of testing. These testing techniques have few requirements such as:
a) robust tools for testing automation
b) well-skilled experts for testing
c) ready to use processes to validate data movement
These testing methods are used to validate the Vs of Big Data – Volume, Velocity, Veracity, and Variety.
Data Analytics and Visualisation testing are used to understand the volume of the data. The big data ecosystem testing establishes the veracity of the data. The migration and source extraction testing establish the velocity for data. Finally, performance and security testing are done to validate a variety of data. The primary and most used types of testing are architecture and performance.
Benefits of Big Data Testing
There are many benefits for companies that have a proper data testing strategy implied. A few of them are listed below:
- Decision making
It mainly avoids bad decision making. It helps in data-driven decision-making processes. When we have the data and analytics at hand, it eventually drives the decision making smooth and perfect.
- Data Accuracy
80% of the data which is collected is unstructured and by analysis of this data, businesses will be able to identify their weak spots to deliver better than their competitors.
- To create a better strategy and enhanced market goals
It is easy to optimize the business data with all the collected data and assists in better understanding of current situations. This will help in creating better goals as per the current situations.
- Minimizes losses and increases revenues
Even if we face a loss, it could be minimized with proper analytics of the data. It isolates different types of data to enhance customer relationship management.
- Quality Cost
It comes at very less expensive methods that can be used for more revenue generation. It has a high return on investment (ROI).
Other benefits include- a) seamless integration, b) reduce time to market and c) reduce total cost of quality.
Testunity is a SaaS-based technology platform that is driven by a vast community of tester and QA spread around the globe. We provide end to end software testing cycle and ensure the best results. Testunity works with a mission to bring down the cost of testing without compromising on the quality of the product. TestUnity has expertise in all testing domains and processes. We will help you in getting better and effective testing results without spending much of your software testing. Testunity helps in delivering the project on time and without any bugs or issues without the need to spend much on testing.
Contact us now to get in touch with one of the most efficient software testing company in the world.
Testunity is a SaaS-based technology platform driven by a vast community of testers & QAs spread around the world, powered by technology & testing experts to create the dedicated testing hub. Which is capable of providing almost all kind of testing services for almost all the platforms exists in software word.