{"id":858,"date":"2020-11-23T17:43:36","date_gmt":"2020-11-23T16:43:36","guid":{"rendered":"https:\/\/www.archeometra.it\/uncategorized\/non-relational-nosql-big-data-databases\/"},"modified":"2021-01-21T10:37:58","modified_gmt":"2021-01-21T09:37:58","slug":"non-relational-nosql-big-data-databases","status":"publish","type":"post","link":"https:\/\/www.archeometra.it\/en\/tech-en\/non-relational-nosql-big-data-databases\/","title":{"rendered":"Non-relational (NoSQL) Big Data Databases"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; _builder_version=&#8221;3.22&#8243; custom_margin=&#8221;0px||&#8221; custom_padding=&#8221;0px||&#8221;][et_pb_fullwidth_post_title meta=&#8221;off&#8221; featured_image=&#8221;off&#8221; _builder_version=&#8221;3.16&#8243; title_font=&#8221;|300|||||||&#8221; title_text_align=&#8221;center&#8221; title_text_color=&#8221;#000000&#8243; title_font_size=&#8221;40px&#8221; meta_font=&#8221;||||||||&#8221; text_orientation=&#8221;center&#8221; 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background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;]<\/p>\n<p>The increasing importance of Big Data has driven Archeometra to develop specific skills and expertise in this realm, articulated on the paradigm of the three Vs: Volume, Velocity and Variety.<br \/>\u2022 Volume<br \/>\u2022 Velocity<br \/>\u2022 Variety<br \/>This involves creating Data Lake solutions capable of storing and outputting both raw data and data that has been aggregated and processed.<br \/>In our projects, the Data Lake is a dependable architectural tool in all contexts requiring:<br \/>\u2022 Collection and unification of user behaviour data on line and off line (marketing view),<br \/>\u2022 Collection and unification of data from objects as part of IoT projects,<br \/>\u2022 Analysis and collection of network traffic and road traffic data (Storelocator),<br \/>as well as in all areas where data sources are heterogeneous and information must be stored and processed to be routed to different analysis tools.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_sidebar area=&#8221;cs-2&#8243; _builder_version=&#8221;3.16&#8243;][\/et_pb_sidebar][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The increasing importance of Big Data has driven Archeometra to develop specific skills and expertise in this realm, articulated on the paradigm of the three Vs: Volume, Velocity and Variety.<\/p>\n","protected":false},"author":1,"featured_media":860,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","iawp_total_views":9},"categories":[22],"tags":[],"_links":{"self":[{"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/posts\/858"}],"collection":[{"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/comments?post=858"}],"version-history":[{"count":0,"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/posts\/858\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/media\/860"}],"wp:attachment":[{"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/media?parent=858"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/categories?post=858"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.archeometra.it\/en\/wp-json\/wp\/v2\/tags?post=858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}