IoT &ML are two examples of recent developments in the management of vast amounts of data (ML). In the past, humans were responsible for all aspects of the big data lifecycle, including the collection, analysis, and acquisition of data. The IoT and Machine Learning, on the other hand, have made it possible for machines rather than people to collect vast amounts of data, analyses that data, and establish new business models. The management of big data has proven to be challenging for larger companies, despite the fact that industry 4.0 has seen tremendous success. Among these are problems with data management accuracy brought on by insufficient training, cloud computing security concerns, and blockchain security flaws. Cloud computing security concerns have also been linked to blockchain security flaws. As a consequence of this, this research has provided an explanation of how machine learning can be utilized to both bolster the safety of blockchain technology and enhance the management of large amounts of data. A primary poll was conducted with fifty individuals, and those individuals were asked a series of questions regarding big data technologies and blockchain security. The findings indicated that providing employees with training and establishing laws and regulations that are based on blockchain technology might, respectively, increase the accuracy of data management and cloud computing security.