{"id":13269,"date":"2022-12-14T10:00:00","date_gmt":"2022-12-14T09:00:00","guid":{"rendered":"https:\/\/parm.com\/?p=13269"},"modified":"2026-03-02T16:08:43","modified_gmt":"2026-03-02T15:08:43","slug":"data-warehouse-and-data-lake-3","status":"publish","type":"post","link":"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/","title":{"rendered":"Data Warehouse e Data Lake"},"content":{"rendered":"\n<div class=\"et_pb_section_0 et_pb_section et_section_regular et_block_section\"><div class=\"et_pb_row_0 et_pb_row et_block_row\"><div class=\"et_pb_column_0 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h1>Data Warehouse e Data Lake<\/h1>\n<p><span style=\"font-size: large;\">Definizione, somiglianze e differenze<\/span><\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_1 et_pb_row et_block_row\"><div class=\"et_pb_column_1 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_image_0 et_pb_image et_pb_module et_block_module\"><span class=\"et_pb_image_wrap\"><img decoding=\"async\" src=\"https:\/\/new-site.parm.com\/wp-content\/uploads\/2022\/12\/Post_Data_Warehouse_Lake.jpg\" title=\"Post_Data_Warehouse_Lake\" alt=\"Data Warehouse vs. Data Lake\" \/><\/span><\/div><\/div><\/div><div class=\"et_pb_row_2 et_pb_row et_pb_equal_columns et_block_row\"><div class=\"et_pb_column_2 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>La quantit\u00e0 di dati raccolti nelle aziende \u00e8 in costante aumento e con essa la necessit\u00e0 di gestirli in modo ottimale e utilizzarli per le analisi. I data warehouse e i data Lake sono soluzioni consolidate per l'archiviazione di grandi quantit\u00e0 di dati. Spieghiamo le differenze pi\u00f9 importanti tra le due opzioni.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_3 et_pb_row et_block_row\"><div class=\"et_pb_column_3 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_83 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/#Cose_un_data_warehouse\" >Cos&#8217;\u00e8 un data warehouse?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/#Cose_un_Data_Lake\" >Cos&#8217;\u00e8 un Data Lake?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/#Somiglianze_e_differenze\" >Somiglianze e differenze<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/#Come_fare_la_scelta_giusta\" >Come fare la scelta giusta<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/#Il_futuro_la_Data_Lakehouse\" >Il futuro: la Data Lakehouse<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/parm.com\/it\/data-warehouse-and-data-lake-3\/#Conclusione\" >Conclusione<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Cose_un_data_warehouse\"><\/span>Cos&#8217;\u00e8 un data warehouse?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Il termine data warehouse si riferisce a una raccolta centrale di dati, solitamente come parte di una soluzione di business intelligence. Qui \u00e8 possibile raccogliere e archiviare una grande quantit\u00e0 di dati provenienti da diverse fonti. A questo scopo, il data warehouse estrae regolarmente dati da diversi sistemi, che vengono poi convalidati, puliti, formattati e confrontati con le informazioni gi\u00e0 esistenti. In questo modo ha luogo il cosiddetto processo ETL (Extract, Transform, Load). A tale scopo viene innanzitutto determinata la struttura dei dati, il cosiddetto schema. Questa procedura \u00e8 denominata Schema in scrittura e determina l'aspetto dei dati consolidati. Poich\u00e9 i dati vengono solitamente registrati in tabelle, lo schema risponde a domande come:<\/p>\n<ul>\n<li>Che aspetto ha una riga in una tabella?<\/li>\n<li>Quali attributi contiene ciascuna riga?<\/li>\n<li>Quali dati sono attesi?<\/li>\n<\/ul>\n<p>I dati cos\u00ec elaborati vengono archiviati in modo tale che gli utenti possano accedervi in qualsiasi momento.<\/p>\n<\/div><\/div><div class=\"et_pb_image_1 et_pb_image et_pb_module et_block_module\"><span class=\"et_pb_image_wrap\"><img decoding=\"async\" src=\"https:\/\/new-site.parm.com\/wp-content\/uploads\/2022\/12\/Data_Warehouse.jpg\" title=\"Data_Warehouse\" alt=\"Data Warehouse\" \/><\/span><\/div><div class=\"et_pb_text_3 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h3>Vantaggi dei data warehouse<\/h3>\n<ul>\n<li><strong>Analisi semplice:<\/strong> poich\u00e9 i dati in un data warehouse sono disponibili in un formato coerente, possono essere facilmente analizzati in un sistema BI e quindi utilizzati per il processo decisionale. Anche gli utenti senza conoscenze informatiche possono quindi trarre importanti spunti dai dati disponibili.<strong><br \/><\/strong><\/li>\n<li><strong>Unione dei dati:<\/strong> poich\u00e9 le informazioni provenienti da database diversi vengono raccolte in un data warehouse, i dati provenienti da fonti diverse possono essere facilmente correlati tra loro o analizzati per correlazioni.<strong><br \/><\/strong><\/li>\n<li><strong>Qualit\u00e0 dei dati:<\/strong> poich\u00e9 i dati vengono convalidati e formattati prima di essere salvati, il data warehouse contiene solo dati coerenti e pertinenti. La qualit\u00e0 dei dati disponibili \u00e8 quindi molto elevata.<strong><\/strong><\/li>\n<\/ul>\n<h3><\/h3>\n<h3>Svantaggi dei data warehouse<\/h3>\n<ul>\n<li><strong>Dati mancanti:<\/strong> in un data warehouse vengono archiviati solo i dati necessari per lo scopo originariamente previsto. Se sono necessari dati aggiuntivi, devono essere aggiunti al data warehouse in modo complicato.<\/li>\n<li><strong>Meno flessibilit\u00e0:<\/strong> se lo scopo del data warehouse \u00e8 cambiato o se in futuro saranno necessari pi\u00f9 dati, il data warehouse deve essere adattato. Ci\u00f2 \u00e8 dovuto al fatto che il modello o struttura dei dati \u00e8 stato definito in anticipo (schema in scrittura). Modificarlo pu\u00f2 richiedere molto tempo ed essere costoso. Un data warehouse \u00e8 quindi meno flessibile per le nuove origini dati.<\/li>\n<li><strong>Elevati costi di avvio:<\/strong> poich\u00e9 lo schema in scrittura deve essere definito prima di iniziare con un data warehouse, inizialmente si sostengono costi pi\u00f9 elevati.<\/li>\n<\/ul>\n<\/div><\/div><div class=\"et_pb_text_4 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Cose_un_Data_Lake\"><\/span>Cos&#8217;\u00e8 un Data Lake?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Un data lake si riferisce a un repository centrale in cui sono archiviate grandi quantit\u00e0 di dati provenienti da varie fonti, solitamente in formato grezzo. Ma \u00e8 possibile archiviare anche dati strutturati o semi strutturati. Quindi, mentre in un data warehouse vengono archiviati solo dati strutturati, i data lake possono archiviare informazioni in diversi formati e renderle in questo modo disponibili agli utenti. In questo caso il modello dati viene registrato in dettaglio solo durante la lettura del contenuto (schema in lettura), il che pu\u00f2 essere soggetto a errori. Qui avviene quindi un processo ELT (Estrai, Carica, Trasforma).<\/p>\n<\/div><\/div><div class=\"et_pb_image_2 et_pb_image et_pb_module et_block_module\"><span class=\"et_pb_image_wrap\"><img decoding=\"async\" src=\"https:\/\/new-site.parm.com\/wp-content\/uploads\/2022\/12\/Data_Lake.jpg\" title=\"Data_Lake\" alt=\"Data Lake\" \/><\/span><\/div><div class=\"et_pb_text_5 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h3>Vantaggi dei data lake<\/h3>\n<ul>\n<li><strong>Accessibilit\u00e0:<\/strong> i dati aziendali vengono archiviati centralmente nel Data Lake e sono quindi facilmente accessibili a tutti gli utenti.<\/li>\n<li><strong>Evitare i silos di dati:<\/strong> vengono archiviati sia dati strutturati che semistrutturati o non strutturati. Ci\u00f2 evita silos di dati.<\/li>\n<li><strong>Elevata flessibilit\u00e0:<\/strong> i dati possono essere modificati e modellati in modo da poter essere analizzati per scopi diversi. \u00c8 possibile aggiungere ulteriori origini dati in modo semplice e senza modifiche sostanziali al data lake.<\/li>\n<li><strong>Apprendimento automatico:<\/strong> i dati memorizzati sono ideali per l'apprendimento automatico.<strong><\/strong><\/li>\n<\/ul>\n<h3><\/h3>\n<h3>Svantaggi dei Data Lake<\/h3>\n<ul>\n<li><strong>Capacit\u00e0 di memoria:<\/strong> poich\u00e9 tutti i dati vengono memorizzati non filtrati, \u00e8 necessaria una memoria pi\u00f9 grande rispetto al data warehouse.<\/li>\n<li><strong>Qualit\u00e0 dei dati:<\/strong> senza misure di qualit\u00e0 e governance dei dati, i dati archiviati possono rapidamente diventare una cosiddetta palude di dati. Una data swamp \u00e8 un data lake non gestito in cui i dati vengono archiviati senza documentazione adeguata, tanto che se ne perde rapidamente la visione d'insieme.<\/li>\n<\/ul>\n<\/div><\/div><div class=\"et_pb_text_6 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Somiglianze_e_differenze\"><\/span>Somiglianze e differenze<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Sia i data warehouse che i data lake sono progettati per analisi aziendali e fungono da archiviazione centrale dei dati in azienda. Poich\u00e9 il loro scopo e i loro obiettivi sono simili, \u00e8 facile confondere le due tecnologie. Le differenze principali sono:<\/p>\n<p>&nbsp;<\/p>\n<table style=\"width: 100%; border-collapse: collapse; float: left;\" border=\"0\">\n<tbody>\n<tr>\n<td style=\"width: 33.3333%;\"><\/td>\n<td style=\"width: 33.3333%;\"><span style=\"color: #1b3e90;\"><strong>Data Warehouse<\/strong><\/span><\/td>\n<td style=\"width: 33.3333%;\"><span style=\"color: #1b3e90;\"><strong>Data Lake<\/strong><\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Struttura dei dati<\/strong><\/td>\n<td style=\"width: 33.3333%;\">Dati strutturati ed elaborati<\/td>\n<td style=\"width: 33.3333%;\">Dati strutturati e semistrutturati, ma soprattutto dati grezzi<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Scopo della memorizzazione dei dati<\/strong><\/td>\n<td style=\"width: 33.3333%;\">Quantit\u00e0 di dati definita, quindi minore<\/td>\n<td style=\"width: 33.3333%;\">Non definito, quindi quantit\u00e0 maggiore di dati<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Utenti<\/strong><\/td>\n<td style=\"width: 33.3333%;\">Utenti diversi, per lo pi\u00f9 senza conoscenze di data science<\/td>\n<td style=\"width: 33.3333%;\">Data scientist o strumenti speciali necessari per tradurre i dati per altri utenti<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Modifiche complicate e costose<\/strong><\/td>\n<td style=\"width: 33.3333%;\">Dati facilmente accessibili, rapidi e facili da aggiornare<\/td>\n<td style=\"width: 33.3333%;\">Dati facilmente accessibili, rapidi e facili da aggiornare<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Schema<\/strong><\/td>\n<td style=\"width: 33.3333%;\">Schema in scrittura: lo schema viene definito prima che i dati vengano archiviati<\/td>\n<td style=\"width: 33.3333%;\">Schema in lettura: lo schema viene definito quando i dati vengono letti<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_4 et_pb_row et_block_row\"><div class=\"et_pb_column_4 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_7 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Come_fare_la_scelta_giusta\"><\/span>Come fare la scelta giusta<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Se un data warehouse o un data lake sia la scelta migliore per te dipende da diversi fattori, che potrebbero gi\u00e0 essere evidenti dalle differenze tra le due tecnologie. Pertanto, chiediti:<\/p>\n<ul>\n<li>I dati dovrebbero essere strutturati o essere in formato grezzo?<\/li>\n<li>I dati devono servire a uno scopo specifico?<\/li>\n<li>Chi utilizzer\u00e0 i dati? <\/li>\n<li>Quanto \u00e8 probabile che i requisiti di valutazione cambino?<\/li>\n<\/ul>\n<\/div><\/div><div class=\"et_pb_text_8 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Il_futuro_la_Data_Lakehouse\"><\/span>Il futuro: la Data Lakehouse<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Spesso le aziende non riescono a decidere chiaramente se necessitano di un data warehouse o di un data Lake. Piuttosto, hanno bisogno di entrambi: un data Lake per trarre vantaggio dai dati grezzi, ma anche un data warehouse per fornire analisi a tutti gli utenti aziendali. Tuttavia, l\u2019utilizzo contemporaneo delle due tecnologie presenta lo svantaggio che i dati vengono archiviati in due o pi\u00f9 luoghi, quindi devono essere analizzati, mantenuti e monitorati in luoghi diversi. Ci\u00f2 a sua volta pu\u00f2 portare a errori o dati non aggiornati. <br \/>Una data Lakehouse combina la flessibilit\u00e0 dei Data Lake con i processi di strutturazione di un Data Warehouse e promette quindi il meglio di entrambe le tecnologie. In questo modo \u00e8 possibile, ad esempio, analizzare anche dati non strutturati in un sistema BI.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_5 et_pb_row et_block_row\"><div class=\"et_pb_column_5 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_9 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><h2><span class=\"ez-toc-section\" id=\"Conclusione\"><\/span>Conclusione<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>I data warehouse e i data lake sono progettati per le analisi aziendali. Entrambi hanno i loro vantaggi e svantaggi, ma possono anche completarsi a vicenda. La soluzione pi\u00f9 adatta per gestire i dati della tua azienda dipende dalle tue esigenze e da diverse condizioni.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_6 et_pb_row et_block_row\"><div class=\"et_pb_column_6 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_10 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Il software di business intelligence myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> si basa fondamentalmente su un data warehouse. Ci\u00f2 consente ai dipendenti senza conoscenze di tecnologia dei dati di analizzare i dati memorizzati, creare report e diagrammi e ottenere informazioni importanti dai dati.<\/p>\n<p>Tuttavia, \u00e8 anche possibile connettere e analizzare dati semi strutturati in myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span>. Ma ci\u00f2 richiede un livello pi\u00f9 elevato di conoscenza riguardo alla struttura del modello di dati per l\u2019analisi di tali dati. Ci\u00f2 significa che potrebbe essere necessaria l\u2019esperienza di un data scientist.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_7 et_pb_row et_block_row\"><div class=\"et_pb_column_7 et_pb_column et_pb_column_1_2 et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_11 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>Weitere Informationen \u00fcber die Business Intelligence Software myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span>:<\/p>\n<\/div><\/div><div class=\"et_pb_module et_pb_button_module_wrapper et_pb_button_0_wrapper preset--module--divi-button--default_wrapper\"><a class=\"et_pb_button_0 et_pb_button et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-button--default\" href=\"https:\/\/parm.com\/myparm-bi\/\" target=\"_blank\">Mehr Infos<\/a><\/div><\/div><div class=\"et_pb_column_8 et_pb_column et_pb_column_1_2 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_12 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-text--default\"><div class=\"et_pb_text_inner\"><p>M\u00f6chten Sie\u200b myPARM BI<span style=\"font-size: x-small;\"><sup>act<\/sup><\/span> in einer Demonstration kennenlernen? Dann vereinbaren Sie gleich einen Termin!<\/p>\n<\/div><\/div><div class=\"et_pb_module et_pb_button_module_wrapper et_pb_button_1_wrapper preset--module--divi-button--default_wrapper\"><a class=\"et_pb_button_1 et_pb_button et_pb_bg_layout_light et_pb_module et_block_module preset--module--divi-button--default\" href=\"https:\/\/calendly.com\/parmag\/myparm-biact-webdemo\" target=\"_blank\">Termin vereinbaren<\/a><\/div><\/div><\/div><div class=\"et_pb_row_8 et_pb_row et_block_row\"><div class=\"et_pb_column_9 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_code_0 et_pb_code et_pb_module\"><div class=\"et_pb_code_inner\"><div class=\"shariff shariff-align-left shariff-widget-align-left\" style=\"display:none\"><ul class=\"shariff-buttons theme-round orientation-horizontal buttonsize-medium\"><li class=\"shariff-button facebook shariff-nocustomcolor\" style=\"background-color:#4273c8\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fparm.com%2Fit%2Fdata-warehouse-and-data-lake-3%2F\" title=\"Bei Facebook teilen\" aria-label=\"Bei Facebook teilen\" role=\"button\" rel=\"nofollow\" class=\"shariff-link\" style=\"; 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Zu diesem Zweck gestatte ich der Parm AG mein \u00d6ffnungs-, Klick- und Downloadverhalten im Newsetter zu analysieren und ein personenbezogenes Nutzerprofil von mir zu erstellen. Die <a href=\"https:\/\/new-site.parm.com\/datenschutzerklaerung\" target=\"_blank\" rel=\"noopener\">Datenschutzerkl\u00e4rung <\/a>habe ich gelesen und akzeptiere diese. 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Bitte \u00fcberpr\u00fcfen Sie die Felder und versuchen Sie es erneut.\";\n\n\n\n\n  window.translation = {\n    common: {\n      selectedList: '{quantity} Liste ausgew\u00e4hlt',\n      selectedLists: '{quantity} Listen ausgew\u00e4hlt'\n    }\n  };\n\n  var AUTOHIDE = Boolean(0);\n<\/script>\n<script src=\"https:\/\/sibforms.com\/forms\/end-form\/build\/main.js\"><\/script>\n\n<script src=\"https:\/\/www.google.com\/recaptcha\/api.js?hl=de\"><\/script>\n\n<!-- END - We recommend to place the above code in footer or bottom of your website html -->\n<!-- End Sendinblue Form --><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>La quantit\u00e0 di dati raccolti nelle aziende \u00e8 in costante aumento e con essa la necessit\u00e0 di gestirli in modo ottimale e utilizzarli per le analisi. I data warehouse e i data Lake sono soluzioni consolidate per l&#8217;archiviazione di grandi quantit\u00e0 di dati. Spieghiamo le differenze pi\u00f9 importanti tra le due opzioni.<\/p>\n","protected":false},"author":1,"featured_media":13280,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30,102],"tags":[111,112,508,509],"class_list":["post-13269","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi-it","category-gestione-progetti","tag-bi-it","tag-business-intelligence-it","tag-data-lake-it","tag-data-warehouse-it"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Warehouse e Data Lake | Parm AG<\/title>\n<meta name=\"description\" content=\"I data warehouse e i data Lake sono soluzioni consolidate per l&#039;archiviazione di grandi quantit\u00e0 di dati. 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I data warehouse e i data Lake sono soluzioni consolidate per l&#039;archiviazione di grandi quantit\u00e0 di dati. 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