[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||0px||false|true” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” global_colors_info=”{}”]<\/p>\n
The global mining industry is experiencing a tectonic shift. Volumes around geospatial data management have exploded recently thanks to increased production, technological advancements, and requirements for more advanced data analysis; some types of seismic data<\/a>, for example, double in size every three to four years.<\/p>\n However, getting all that spatial data, vector data, raster data, and other complex data types from the field to centralized storage and geospatial technology applications is often a time-consuming and expensive task.<\/strong><\/p>\n But it doesn’t have to be. Mining companies who need to analyze geological data as fast as possible can benefit from cloud-native file transfer from the field. Let’s explore how.<\/p>\n [\/et_pb_text][et_pb_video src=”https:\/\/youtu.be\/l6dMt-I4bEE?si=dkHtgCf7-B80ANdo” _builder_version=”4.14.7″ _module_preset=”default” box_shadow_style=”preset2″ locked=”off” global_colors_info=”{}”][\/et_pb_video][et_pb_text _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_font_size=”26px” width=”100%” width_tablet=”100%” width_phone=”100%” width_last_edited=”on|tablet” max_width=”100%” custom_margin=”|-54px|0px||false|false” custom_padding=”0px|||0px|false|false” global_colors_info=”{}”]<\/p>\n Table of Contents<\/strong><\/p>\n<\/div>\n<\/div>\n [\/et_pb_text][et_pb_text _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_cta title=”Transfer Geospatial Data From Sensor to Storage” button_url=”https:\/\/app.massive.io\/en\/signup” button_text=”Start for Free” module_class=”starttrial” _builder_version=”4.14.7″ _module_preset=”default” header_level=”h5″ header_font=”||||||||” header_font_size=”26px” header_line_height=”1.3em” body_line_height=”1.8em” background_color=”#202332″ use_background_color_gradient=”on” background_color_gradient_start=”#072231″ background_color_gradient_end=”#031119″ custom_button=”on” button_text_size=”18px” button_text_color=”#FFFFFF” button_bg_color=”#0472ef” button_bg_color_gradient_start=”#0472ef” button_bg_color_gradient_end=”#005dc6″ button_bg_color_gradient_direction=”90deg” button_border_width=”0px” button_font=”Roboto|700|||||||” button_custom_padding=”10px|42px|10px|42px|true|true” custom_margin=”||20px||false|false” link_option_url=”https:\/\/app.massive.io\/en\/signup” border_radii=”on|10px|10px|10px|10px” border_color_top=”#3d72e7″ border_color_left=”#3d72e7″ box_shadow_style=”preset2″ box_shadow_horizontal=”-13px” box_shadow_style_button=”preset1″ locked=”off” global_colors_info=”{}” button_border_width__hover_enabled=”on|hover” button_custom_padding__hover_enabled=”on|hover” button_custom_padding__hover=”|2em|||false|false” button_border_width__hover=”0px” button_bg_color__hover=”#005dc6″ button_bg_color__hover_enabled=”on|desktop”]<\/p>\n Move geospatial datasets of any size with MASV’s fast, secure, and compliant cloud-native file transfer.\u00a0<\/p>\n [\/et_pb_cta][et_pb_code _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-one” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n We’re on the cusp of a technological revolution in mining, especially when it comes to how sensors and AI play with geospatial data management.<\/strong> Megacompany BHP, for example, is a leading producer of iron ore, copper and metallurgical coal and potash. It has also placed a large bet on data and AI<\/a> as fundamental to the future of mining, from autonomous vehicles to AI-powered ore sorting.<\/p>\n “AI systems analyze vast amounts of mining data gathered by on-site sensors and other monitoring systems to identify patterns and make informed decisions, leading to increased efficiency, reduced costs, improved safety, and minimized environmental impact,” the company says<\/a>.<\/p>\n<\/blockquote>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2025\/06\/aerial-view-of-truck-excavator-in-open-sand-quarry-2025-04-01-03-12-55-utc.jpg” alt=”Placeholder image” title_text=”Aerial view of Truck excavator in open sand quarry rubble in Finland.” _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_3_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Other disruptive technologies affecting geospatial data management in the mining industry include:<\/p>\n Fundamentally, at the centre of all this innovation is data.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ background_color=”#f5f5f5″ custom_margin=”||||false|false” custom_padding=”3%|3%|3%|3%|true|true” border_radii=”on|8px|8px|8px|8px” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2025\/05\/Delta-Scan-2-resized-1.jpg” alt=”Geospatial thumbnail of someone in a hard hat flying a drone” title_text=”Delta Scan 2 resized” _builder_version=”4.14.7″ _module_preset=”default” border_radii=”on|5px|5px|5px|5px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Learn how Delta Scan, a specialized engineering inspection, digitization, and BIM company, used MASV to get geospatial data from the remote African countryside to storage.<\/p>\n Read more ><\/a><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n In the age of big data and AI-driven analysis, knowing where to dig involves gathering a mind-boggling volume of environmental data and location data during exploration and surveying, then performing data integration and processing on those datasets.<\/p>\n Such intense geospatial data management means geological and mining companies deal with a vast array of different data sources and file formats<\/a>.<\/strong> These sources include location information from scanned maps, satellite images, and Global Positioning System (GPS) data from spatial databases to discern geographic features and other geospatial information.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/massive.io\/wp-content\/uploads\/2025\/06\/dumper-truck-driving-in-an-active-quarry-mine-of-p-2024-11-28-15-09-34-utc.jpg” alt=”Placeholder image” title_text=”dumper truck driving in an active quarry mine of porphyry rocks. digging.” _builder_version=”4.14.7″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n All the techniques above generate vast volumes of data that need to be processed in a way that reveals not only where to dig, but a complete view of the economics, politics, and ethics of a potential project.<\/p>\n This is where cloud can be particularly useful, given its vast storage and compute capabilities. Analyst firm Global Data<\/a> says public cloud and infrastructure-as-a-service are key areas for future investment for mining firms.<\/strong><\/p>\n AWS<\/a> and Azure<\/a> are the main public cloud players in this sector.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.14.7″ _module_preset=”default” background_color=”#FFFFFF” custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|false|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” border_width_top=”1px” border_color_top=”#e1e1e1″ locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”0px||||false|true” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-three” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n Given that mining operations occur over broad, and frequently remote, geographic areas, data connectivity in the field is a common issue.<\/p>\n One data transfer option includes transferring enormous datasets with on-premises point-to-point data transfer tools and a relational database management system \u2013 but this requires a dedicated, high-bandwidth internet connection. In remote locations, that’s usually a non-starter.<\/p>\n [\/et_pb_text][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n For this reason, hard disk drive (HDD) based workflows are common across mining and geospatial operations. Although HDD-based workflows are reliable and cheap, they’re simply not fast or flexible enough to accommodate data processing and insights in near real-time \u2013 it often takes days or weeks for geographic data to be saved to hard drives, shipped, downloaded, and processed.<\/p>\n [\/et_pb_text][et_pb_text module_id=”section-two” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ global_colors_info=”{}”]<\/p>\n As an industry, mining and other professionals working in geospatial data management need to upload and process data as quickly as possible. Turnaround times around data collection must be fast and efficient \u2013 and that means workflows must move to the cloud.<\/p>\n A fast-emerging category of software-defined data workflow products, such as MASV<\/a>, can help. MASV is a cloud-native data transfer service that can send and receive file packages of unlimited size at unparalleled speed and reliability<\/strong> \u2013 even from remote locations<\/strong>, MASV can saturate your bandwidth for maximum data delivery in the shortest time.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.14.7″ background_color=”#f5f5f5″ custom_margin=”||||false|false” custom_padding=”2%|20%|2%|20%|true|true” custom_padding_tablet=”4%|0%|4%|0%|true|true” custom_padding_phone=”6%|0%|6%|0%|true|true” global_colors_info=”{}”][et_pb_row _builder_version=”4.14.7″ _module_preset=”7b1bf5ad-cc2a-4448-981c-4963d88bd6e8″ custom_margin=”||||false|false” custom_padding=”||||false|true” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.9.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_text module_id=”section-four” _builder_version=”4.14.7″ _module_preset=”2514b1ee-af07-4bc3-a96b-c9aaa32f4a18″ text_text_color=”#000000″ text_line_height=”1.8em” header_2_text_color=”#000000″ hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Built on a private, accelerated transfer network on an AWS backbone, MASV<\/a> was originally built to ingest and deliver massive file packages of unlimited size in a simple web browser without software installations, plugins, firewall exceptions, or training.<\/strong><\/p>\n For the challenging data workflows around geological and geospatial data, however, the MASV Desktop App<\/a> takes file transfer to the next level. It offers file transfer automations (and automated ingest to storage), along with additional reliability and speed tools including double the throughput compared to a browser and a 10Gbps bandwidth optimization.<\/p>\n MASV can be configured to deliver to the storage destination of your choice, including multiple cloud and connected on-prem storage locations<\/a>. MASV makes it as easy to upload to an Amazon S3 or Microsoft Azure as it is to configure automated delivery to your office NAS or enterprise on-prem storage.<\/p>\n Getting started with MASV is simple, free and self-serve: Anyone can get started for free<\/a> and start building rock-solid data workflows right away.<\/p>\n [\/et_pb_text][et_pb_text module_id=”physical” _builder_version=”4.14.7″ _module_preset=”default” text_text_color=”#000000″ text_line_height=”1.8em” header_4_text_color=”#444444″ background_color=”rgba(158,213,247,0.19)” custom_padding=”2%|3%|2%|3%|false|true” border_width_left=”5px” border_color_left=”#3d72e7″ global_colors_info=”{}”]<\/p>\n \ud83d\udca1 Note:<\/b> A complete set of help documentation<\/a> is available. For organizations with in-house development teams to assist with data workflows, MASV also offers a complete set of API and developer tooling<\/a>.<\/p>\n [\/et_pb_text][et_pb_cta title=”Reliable, Fast Data Transfer \u2013 Anywhere” button_url=”https:\/\/app.massive.io\/en\/signup” button_text=”Start for Free” module_class=”starttrial” _builder_version=”4.14.7″ _module_preset=”default” header_level=”h5″ header_font=”||||||||” header_font_size=”26px” header_line_height=”1.3em” body_line_height=”1.8em” background_color=”#202332″ use_background_color_gradient=”on” background_color_gradient_start=”#072231″ background_color_gradient_end=”#031119″ custom_button=”on” button_text_size=”18px” button_text_color=”#FFFFFF” button_bg_color=”#0472ef” button_bg_color_gradient_start=”#0472ef” button_bg_color_gradient_end=”#005dc6″ button_bg_color_gradient_direction=”90deg” button_border_width=”0px” button_font=”Roboto|700|||||||” button_custom_padding=”10px|42px|10px|42px|true|true” custom_margin=”||20px||false|false” link_option_url=”https:\/\/app.massive.io\/en\/signup” border_radii=”on|10px|10px|10px|10px” border_color_top=”#3d72e7″ border_color_left=”#3d72e7″ box_shadow_style=”preset2″ box_shadow_horizontal=”-13px” box_shadow_style_button=”preset1″ locked=”off” global_colors_info=”{}” button_border_width__hover_enabled=”on|hover” button_custom_padding__hover_enabled=”on|hover” button_custom_padding__hover=”|2em|||false|false” button_border_width__hover=”0px” button_bg_color__hover=”#005dc6″ button_bg_color__hover_enabled=”on|desktop”]<\/p>\n MASV can move mountains of data from any location \u2013 even a remote mountaintop.\u00a0<\/p>\n [\/et_pb_cta][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" La gestion des donn\u00e9es g\u00e9ospatiales est cruciale dans l'exploitation mini\u00e8re, un secteur confront\u00e9 \u00e0 une explosion des volumes et des types de donn\u00e9es, ainsi qu'\u00e0 des avanc\u00e9es technologiques. Voici comment le transfert de fichiers dans le nuage peut aider. <\/p>","protected":false},"author":7,"featured_media":127540,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[12],"tags":[],"class_list":["post-127514","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-file-transfer"],"acf":[],"_links":{"self":[{"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/posts\/127514","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/comments?post=127514"}],"version-history":[{"count":0,"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/posts\/127514\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/media\/127540"}],"wp:attachment":[{"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/media?parent=127514"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/categories?post=127514"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/massive.io\/fr\/wp-json\/wp\/v2\/tags?post=127514"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
What New Technologies Have Changed the Mining Industry?<\/h2>\n
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How MASV Enables Delta Scan<\/h4>\n
The Future of Mining: Geospatial Data Management From Multiple Sources<\/h2>\n
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The Next Big Challenge In Mining Tech: Data Workflow<\/h2>\n
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The need for cloud-native technology in geospatial data management<\/h3>\n
MASV for Near-Real-Time Geospatial Data Management and Transfer<\/h2>\n
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