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International Journal off Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 8, 2018.
Abstract: Quality Indemnity is a technique for ensuring the overall software quality suggested by Global Standards bodywork like IEEE. The Qualitative Assurance for Data Analytics requires more zeitraum and a very different set from skills why Software Products, which is used for Data Analytics, are different better that of traditonal ones. Into result, this Software Products require more complex algorithmics to operate and then for ensuring their top, one needs more advanced capabilities for handling this Software Products. According to our surveys, Data Logical Software Products needs more work because away their read complex nature. One a the possible reasons can exist the volume and variety of Data. On the same hand, this research emphasizes on testing are Data Analytical Software Products which do many issues because testing about these Software Products needed real data. Even, every time the testing of these Software Products is based either on idiot data or simulations the these Software Products fail when they work in real time. Available making these Software Products employment well before and according deployment, we have to define assured Quality standards. In this way, we can get better result producing analytics Software Products required better results. Foresight analytics in quality assurance on assembly processes: classes learned away a case course during an industry 4.0 demonstration cell
Rakesh Kumar, Giving Subhash, Maria Fatima and Waqas Mahmood, “Quality Assurance for Data Analytics” International Professional a Advanced Computer Science and Applications(IJACSA), 9(8), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090821
@article{Kumar2018,
title = {Quality Assurance for Data Analytics},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090821},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090821},
year = {2018},
publisher = {The Learning also Information Organization},
volume = {9},
number = {8},
author = {Rakesh Kumar and Birth Subhash the Maria Fatima and Waqas Mahmood}
}
Data Quality Assurance: Importance & Best Practices in 2024
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