{"id":161572,"date":"2023-04-05T12:24:05","date_gmt":"2023-04-05T17:24:05","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/04\/dozer-exits-stealth-to-help-any-developer-build-real-time-data-apps-in-minutes"},"modified":"2023-04-05T12:24:05","modified_gmt":"2023-04-05T17:24:05","slug":"dozer-exits-stealth-to-help-any-developer-build-real-time-data-apps-in-minutes","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/04\/dozer-exits-stealth-to-help-any-developer-build-real-time-data-apps-in-minutes","title":{"rendered":"Dozer exits stealth to help any developer build real-time data apps \u2018in minutes\u2019"},"content":{"rendered":"

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Data has emerged as one of the world\u2019s greatest resources<\/a>, underpinning everything from video-recommendation engines<\/a> and digital banking<\/a>, to the burgeoning AI revolution<\/a>. But in a world where data has become increasingly distributed across locations, from databases to data warehouses to data lakes and beyond, combining it all into a compatible format for use in real-time scenarios can be a mammoth undertaking.<\/p>\n

For context, applications that don\u2019t require instant, real-time data access can simply combine and process data in batches at fixed intervals. This so-called \u201cbatch data processing\u201d can be useful for things like processing monthly sales data. But often, a company will<\/em> need real-time access to data as it\u2019s created, and this might be pivotal for customer support software that relies on current information about each and every sale, for example.<\/p>\n

Elsewhere, ride-hail apps also need to process all manner of data points in order to connect a rider with a driver \u2014 this isn\u2019t something that can wait a few days. These kinds of scenarios require what is known as \u201cstream data processing,\u201d where data is collected and combined for real-time access, which is far more complex to configure.<\/p>\n","protected":false},"excerpt":{"rendered":"

Data has emerged as one of the world\u2019s greatest resources, underpinning everything from video-recommendation engines and digital banking, to the burgeoning AI revolution. But in a world where data has become increasingly distributed across locations, from databases to data warehouses to data lakes and beyond, combining it all into a compatible format for use in [\u2026]<\/p>\n","protected":false},"author":513,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45,6],"tags":[],"class_list":["post-161572","post","type-post","status-publish","format-standard","hentry","category-finance","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/161572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/513"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=161572"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/161572\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=161572"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=161572"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=161572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}