{"id":3790,"date":"2024-04-11T15:01:50","date_gmt":"2024-04-11T12:01:50","guid":{"rendered":"https:\/\/webanalyst.ro\/?p=3790"},"modified":"2024-04-13T11:35:09","modified_gmt":"2024-04-13T08:35:09","slug":"next-24","status":"publish","type":"post","link":"https:\/\/webanalyst.ro\/blog\/2024\/next-24\/","title":{"rendered":"Google Cloud Next 2024"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Zilele acestea are loc Next \u201924, conferin\u021ba la care sunt anun\u021bate nout\u0103\u021bile anuale pentru Google Cloud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cele mai importante produse din Cloud, \u00een special cele de data &amp; analytics precum BigQuery, Vertex AI sau Looker \u0219i-au anun\u021bat deja nout\u0103\u021bile \u0219i le pute\u021bi citi \u00een continuarea acestui articol. De asemenea, pute\u021bi citi \u0219i articolele mele dup\u0103 edi\u021biile din <a href=\"https:\/\/webanalyst.ro\/blog\/2022\/looker-studio\/\" target=\"_blank\" rel=\"noreferrer noopener\">2022<\/a> \u0219i <a href=\"https:\/\/webanalyst.ro\/blog\/2023\/noutati-google-cloud-bigquery-looker\/\" target=\"_blank\" rel=\"noreferrer noopener\">2023<\/a>.<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\">Gemini for Google Cloud<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A\u0219a cum era de a\u0219teptat, la fel ca \u0219i anul trecut, cele mai importante nout\u0103\u021bi au fost legate de Generative AI. Google a lansat agen\u021bi de Generative AI, care sunt entit\u0103\u021bi inteligente ce preiau ac\u021biunea \u0219i ajut\u0103 utilizatorii la task-uri specifice.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">S-a anun\u021bat c\u0103 Google Cloud este singurul provider de servicii cloud care ofer\u0103 cele mai folosite model\u0103ri de date din first-party, third-party \u0219i open source.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Gemini 1.5 Pro<\/strong>, care era din decembrie \u00een <em>Private preview<\/em>, a trecut acum \u00een <em>Public preview<\/em>. Prin acesta, utilizatorii pot crea p\u00e2n\u0103 la o or\u0103 de video, 11 ore de audio, 30.000 de linii de cod sau 700.000 de cuvinte \u00eentr-o singur\u0103 sesiune.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Acestea vor putea fi folosite \u0219i combinate inclusiv \u00een Google Search, dar \u0219i \u00een zona de date private pentru enteprise, cu ajutorul unui nou instrument de Promt Management, care va compara rezultatele din diverse <em>prompts<\/em>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cele mai importante nout\u0103\u021bi pentru utilizatorii de Cloud sunt:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Gemini Code Assist<\/strong>, un fel de urma\u0219 pentru Duet AI for Developers, ajut\u0103 dezvoltatporii la crearea, editarea sau analiza codului \u0219i este integrat cu cele mai populare IDEs (<em>integrated development environments<\/em>)<\/li>\n\n\n\n<li><strong>Gemini Cloud Assist<\/strong>, ajut\u0103 echipele care se ocup\u0103 de Cloud s\u0103 opereze \u0219i s\u0103 optimizeze procesele aplica\u021biilor, inclusiv erorile care apar, pentru care vine cu poten\u021biale solu\u021bii<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Tot de la Gemini au anun\u021bat \u0219i solu\u021bii pentru securitate, baze de date, BigQuery sau Looker. Despre cele folosite \u00een analiza datelor, voi detalia \u00een continuare.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">BigQuery &#8211; platforma unificat\u0103 pentru date \u0219i AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Google BigQuery a fost \u0219i \u00een trecut o solu\u021bie important\u0103 pentru stocarea datelor, precum \u0219i pentru utilizarea lor \u00een machine learning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">De remarcat faptul c\u0103 BigQuery a avut 150 de func\u021bionalit\u0103\u021bi noi \u00een anul 2023:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"703\" src=\"https:\/\/webanalyst.ro\/blog\/wp-content\/uploads\/2024\/04\/bigquery-2023-1200x703.png\" alt=\"\" class=\"wp-image-3791\" srcset=\"https:\/\/webanalyst.ro\/blog\/wp-content\/uploads\/2024\/04\/bigquery-2023-1200x703.png 1200w, https:\/\/webanalyst.ro\/blog\/wp-content\/uploads\/2024\/04\/bigquery-2023-300x176.png 300w, https:\/\/webanalyst.ro\/blog\/wp-content\/uploads\/2024\/04\/bigquery-2023-150x88.png 150w, https:\/\/webanalyst.ro\/blog\/wp-content\/uploads\/2024\/04\/bigquery-2023-768x450.png 768w, https:\/\/webanalyst.ro\/blog\/wp-content\/uploads\/2024\/04\/bigquery-2023.png 1354w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>BigLake<\/strong>, motorul de stocare unificat al BigQuery, va oferi de acum o singur\u0103 interfa\u021b\u0103 pentru task-urile de analytics \u0219i cele de AI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>BigQuery Studio<\/strong> a fost lansat anul trecut, pe 31 august. Acesta ajut\u0103 utilizatorii s\u0103 foloseasc\u0103 SQL, Python sau Spark direct \u00een BigQuery, fiind mai u\u0219or e preg\u0103tit datele pentru AI. Google a spus c\u0103 acest produs deja are sute de mii de utilizatori, a\u0219a c\u0103 acum aest produs devine public.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>BigQuery Omni<\/strong> \u00ee\u0219i extinde zona de cross-cloud. Ini\u021bial, acesta putea lucra cu datele din Amazon S3 sau Azure Blob Storage. De acum, va putea lucra \u0219i cu datele din Salesforce Data Cloud.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Formatele suportate sunt extinse. Pe l\u00e2ng\u0103 cel naiv, BigQuery va lucra \u0219i cu formatele deschise Iceberg, Hudi \u0219i Delta.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0218i <strong>Dataplex<\/strong>, un produs de tip <em>data fabric<\/em> lansat \u00een 2022, se extinde. Acesta \u00ee\u021bi permite s\u0103 administrezi \u0219i monitorizezi datele din diverse data lakes, data warehouses \u0219i baze de date. Guvernarea datelor din Dataplex, folosind un catalog metadata unificat, va putea fi folosit\u0103 \u0219i din BigQuery.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Un alt lucru de men\u021bionat ar fi <strong>BigQuery continuous queries<\/strong>, un produs care va procesa continuu datele prin SQL, cre\u00e2nd astfel <em>real-time pipelines<\/em>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Multimodal analytics cu BigQuery \u0219i Vertex AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">BigQuery este acum integrat direct cu Vertex AI. Cea din urm\u0103 este o platform\u0103 de dezoltare AI din cadrul Google Cloud, care pune la dispozi\u021bie peste 130 de model\u0103ri de date.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Integrarea direct\u0103 dintre BigQuery \u0219i Vertex AI face ca datele s\u0103 poat\u0103 fi folosite direct din BigQuery, f\u0103r\u0103 a mai fi nevoie s\u0103 fie copiate sau mutate pentru modelarea \u00een Vertex AI. Acest lucru faciliteaz\u0103 multi-modal analytics pe baza datelor nestructurate.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Gemini \u00een analiza datelor<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Generative AI poate fi folosit pentru \u00eentreb\u0103ri generale, \u00eentreb\u0103ri de programare (cum am v\u0103zut mai sus), dar poate fi utilizat \u0219i \u00een data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Google a anun\u021bat zilele acestea:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Gemini in BigQuery<\/strong>, cu scopul de a cre\u0219te prouctivitatea \u0219i a sc\u0103dea costurile utilizatorilor cu BigQuery, ajut\u0103 \u00een toate procesele de analytics, de la ingestia datelor \u0219i p\u00e2n\u0103 la explorare sau analiz\u0103<\/li>\n\n\n\n<li><strong>Gemini in databases<\/strong>, un produs AI destinat dezvoltatorilor care creeaz\u0103, monitorizeaz\u0103 \u0219i migreaz\u0103 aplica\u021bii \u00een baze de date. Acesta poate fi accesat din Database Stuio, Database Migration Service sau din Database Center, cel din urm\u0103 fiind un produs nou<\/li>\n\n\n\n<li><strong>Gemini in Looker<\/strong>, func\u021bioneaz\u0103 ca un chat \u00eentre utilizator \u0219i Looker, iar cel din urm\u0103 va crea vizualiz\u0103ri pe baza cerin\u021belor. Momentan, acest instrument este \u00een <em>private preview<\/em>. Un exemplu poate fi v\u0103zut \u00een imaginea de mai jos:<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/storage.googleapis.com\/gweb-cloudblog-publish\/original_images\/2._Conversational_Analytics.gif\" alt=\"\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Next \u201924 a venit \u0219i cu alte anun\u021buri interesante. Pe l\u00e2ng\u0103 partea de data &amp; analytics, s-au anun\u021bat lucruri foarte interesante la infrastructur\u0103 (cu mai multe tipuri noi de procesoare de la Nvidia \u0219i Google), la Chrome Enterprise Premium sau Imageon 2 (generare de imagini), dar \u0219i de la Google Workspace (suita Office de la Google, care a lansat inclusiv un produs nou pentru generarea de video prin AI, numit Google Vids).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Zilele acestea are loc Next \u201924, conferin\u021ba la care sunt anun\u021bate nout\u0103\u021bile anuale pentru Google Cloud. Cele mai importante produse din Cloud, \u00een special cele de data &amp; analytics precum BigQuery, Vertex AI sau Looker \u0219i-au anun\u021bat deja nout\u0103\u021bile \u0219i le pute\u021bi citi \u00een continuarea acestui articol. De asemenea, pute\u021bi citi \u0219i articolele mele dup\u0103 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3792,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[540,944,961,943,924],"class_list":["post-3790","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-bigquery","tag-dataplex","tag-gcp","tag-google-cloud","tag-looker"],"_links":{"self":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts\/3790","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/comments?post=3790"}],"version-history":[{"count":4,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts\/3790\/revisions"}],"predecessor-version":[{"id":3798,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts\/3790\/revisions\/3798"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/media\/3792"}],"wp:attachment":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/media?parent=3790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/categories?post=3790"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/tags?post=3790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}