{"id":251,"date":"2025-02-17T12:25:10","date_gmt":"2025-02-17T12:25:10","guid":{"rendered":"https:\/\/hpcncc.vilniustech.lt\/?page_id=251"},"modified":"2025-04-19T03:41:17","modified_gmt":"2025-04-19T03:41:17","slug":"hpc-didziuju-duomenu-analizei-mokymai","status":"publish","type":"page","link":"https:\/\/hpcncc.vilniustech.lt\/?page_id=251","title":{"rendered":"HPC did\u017ei\u0173j\u0173 duomen\u0173 analizei. Mokymai"},"content":{"rendered":"\n<p>HPC did\u017ei\u0173j\u0173 duomen\u0173 analizei. Mokymai<\/p>\n\n\n\n<p>Gerbiami akademin\u0117s bendruomen\u0117s atstovai,<\/p>\n\n\n\n<p>Kvie\u010diame Jus \u012f \u201e<strong>HPC did\u017ei\u0173j\u0173 duomen\u0173 analize<\/strong>i\u201c (HPC for Big Data Analysis) mokymus.<\/p>\n\n\n\n<p>1 dalis (10:30-11:30): Didieji duomenys: s\u0105vokos, savyb\u0117s ir pagrindiniai sprendimai.<br>\u0160ioje dalyje klausytojai susipa\u017eins su did\u017ei\u0173j\u0173 duomen\u0173 (angl. Big Data) samprata, pagrindin\u0117mis savyb\u0117mis (3V ir daugiau), istoriniu kontekstu bei bazin\u0117mis paskirstyt\u0173j\u0173 sistem\u0173 ir programavimo modeli\u0173 (MapReduce, DAG ir kt.) id\u0117jomis. Taip pat aptarsime NoSQL, SQL-like sprendimus.<\/p>\n\n\n\n<p>Kavos pertrauk\u0117l\u0117 (11:30-12:00).<\/p>\n\n\n\n<p>2 dalis (12:00-13:00): MapReduce programavimo modelis \u2013 praktiniai pavyzd\u017eiai.<br>\u0160ioje dalyje i\u0161moksite, kaip realiai pritaikyti MapReduce programavimo model\u012f: nuo map ir reduce funkcij\u0173 ra\u0161ymo iki duomen\u0173 suskaidymo bei tarpini\u0173 rezultat\u0173 agregavimo. Taip pat nagrin\u0117sime, kaip \u012fvairias operacijas galima \u012fgyvendinti MapReduce paradigmoje.<\/p>\n\n\n\n<p>Kavos pertrauk\u0117l\u0117 (13:00-13:30).<\/p>\n\n\n\n<p>3 dalis (13:30-14:30): Spark praktika Google Colab aplinkoje.<br>\u0160ioje dalyje su\u017einosite, kaip taikyti Apache Spark duomen\u0173 apdorojimui ir analizei, pasitelkiant Google Colab praktiniams u\u017esi\u0117mimams. Kartu sukursime ir \u012fvykdysime paskirstyt\u0173 skai\u010diavim\u0173 pavyzd\u017eius, kurie parodys Spark lygiagre\u010di\u0173j\u0173 u\u017eduo\u010di\u0173 realizavimo principus.<br><strong>Praktin\u0117je dalyje reikia tur\u0117ti ne\u0161iojam\u0105 kompiuter\u012f su internetiniu ry\u0161iu.<\/strong><\/p>\n\n\n\n<p>\u0160ie mokymai yra dalis EuroCC 2 projekto \u2013 iniciatyvos, kurios tikslas yra pad\u0117ti \u012fmon\u0117ms ir akademin\u0117ms institucijoms \u012fgyvendinti naujausias technologines tendencijas ir inovacijas.<\/p>\n\n\n\n<p><strong>Registracija b\u016btina<\/strong>: <a href=\"https:\/\/forms.office.com\/Pages\/ResponsePage.aspx?id=dUT1mQ4eEUmk8E7qpKYggBU2lQVVzGxCqQRh6k_e3g1UREMzVU1IOUhTSjdGWUI4UVhESjlBU1RXUi4u\">Registracija<\/a><\/p>\n\n\n\n<p>Laukiame J\u016bs\u0173!<\/p>\n\n\n\n<p>Renginio vieta: <strong>Vilniaus Gedimino technikos<\/strong> <strong>universitetas<\/strong>, S2(SRA-I) A02, Saul\u0117tekio al. 11, Vilnius<br>Renginio laikas: <strong>Baland\u017eio 11d, 10:30-14:30.<\/strong><\/p>\n\n\n\n<p>Mokym\u0173 med\u017eiaga: <a href=\"http:\/\/hpcncc.vilniustech.lt\/wp-content\/uploads\/2025\/04\/part1.pdf\">1 dalis<\/a> <a href=\"http:\/\/hpcncc.vilniustech.lt\/wp-content\/uploads\/2025\/04\/part2.pdf\">2 dalis<\/a> <a href=\"http:\/\/hpcncc.vilniustech.lt\/wp-content\/uploads\/2025\/04\/part3.pdf\">3 dalis<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>HPC did\u017ei\u0173j\u0173 duomen\u0173 analizei. Mokymai Gerbiami akademin\u0117s bendruomen\u0117s atstovai, Kvie\u010diame Jus \u012f \u201eHPC did\u017ei\u0173j\u0173 duomen\u0173 analizei\u201c (HPC for Big Data Analysis) mokymus. 1 dalis (10:30-11:30): Didieji duomenys: s\u0105vokos, savyb\u0117s ir pagrindiniai sprendimai.\u0160ioje dalyje klausytojai susipa\u017eins su did\u017ei\u0173j\u0173 duomen\u0173 (angl. Big Data) samprata, pagrindin\u0117mis savyb\u0117mis (3V ir daugiau), istoriniu kontekstu bei bazin\u0117mis paskirstyt\u0173j\u0173 sistem\u0173 ir programavimo &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/hpcncc.vilniustech.lt\/?page_id=251\"> <span class=\"screen-reader-text\">HPC did\u017ei\u0173j\u0173 duomen\u0173 analizei. Mokymai<\/span> Skaityti daugiau &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-251","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages\/251","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=251"}],"version-history":[{"count":4,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages\/251\/revisions"}],"predecessor-version":[{"id":267,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages\/251\/revisions\/267"}],"wp:attachment":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}