{"id":36759,"date":"2025-11-26T06:28:21","date_gmt":"2025-11-26T05:28:21","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/whats-your-preferred-way-to-store-incremental-updates-for-large-datasets\/"},"modified":"2025-11-26T06:28:21","modified_gmt":"2025-11-26T05:28:21","slug":"whats-your-preferred-way-to-store-incremental-updates-for-large-datasets","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/whats-your-preferred-way-to-store-incremental-updates-for-large-datasets\/","title":{"rendered":"What\u2019s Your Preferred Way To Store Incremental Updates For Large Datasets?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I\u2019m maintaining a dataset that changes daily. Full refreshes are too heavy; diffs get messy. I\u2019ve tried append-only logs, versioned tables, even storing compressed deltas. Each tradeoff hurts either readability, reproducibility, or storage. If you manage big evolving datasets, how do you structure yesterday + today without rewriting history or duplicating half your records?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Vivid_Stock5288\"> \/u\/Vivid_Stock5288 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1p6yy3m\/whats_your_preferred_way_to_store_incremental\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1p6yy3m\/whats_your_preferred_way_to_store_incremental\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-36759 jlk' href='javascript:void(0)' data-task='like' data-post_id='36759' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-36759 lc'>0<\/span><\/a><\/div><\/div> <div class='status-36759 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>I\u2019m maintaining a dataset that changes daily. Full refreshes are too heavy; diffs get messy. I\u2019ve tried&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-36759","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36759","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=36759"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/36759\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=36759"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=36759"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=36759"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}