Conclusion<\/span><\/h2>\nAs mentioned, blockchain is still in its early phases, despite the widespread attention it has received recently. More specific use cases, including data science, are expected to be developed and explored as the technology develops and innovations occur around it.<\/span><\/p>\nNonetheless, certain concerns have been expressed concerning its potential influence on data science, and more specifically on big data, which necessitates the management of extremely massive datasets. The high cost of implementing blockchain solutions in this area is a major worry. This is due to the high cost of storing data on a blockchain compared to more conventional methods. When compared to the massive amounts of data acquired in real time for big data as well as other information processing jobs, blocks deal with manageable amounts of information.<\/span><\/p>\nAs we have seen, blockchain has enormous potential to revolutionize how we maintain and use data. It will be fascinating to observe how the technology develops to solve these concerns and how it disrupts the data science area.<\/span><\/p>\n[\/et_pb_text][et_pb_divider color=”#ff8f00″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}” theme_builder_area=”et_body_layout”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}” theme_builder_area=”et_body_layout”][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"