big data automation testing grows faster than ever. It offers many opportunities but also big problems. One problem is making sure data quality and performance stay accurate. Companies need correct, on-time data for big choices. This makes strong testing super important.
Old testing ways often do not work well with big data. It has too much, comes too fast, and is too varied. We need...
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