{"id":5794,"date":"2023-11-10T15:10:38","date_gmt":"2023-11-10T08:10:38","guid":{"rendered":"https:\/\/alldataint.com\/articles\/?p=5794"},"modified":"2023-11-10T15:20:51","modified_gmt":"2023-11-10T08:20:51","slug":"big-data-definisi-dan-tantangan","status":"publish","type":"post","link":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/","title":{"rendered":"Big Data: Definisi dan Tantangan"},"content":{"rendered":"\n

Big Data: Definisi dan Tantangan<\/h1>\n\n\n\n

Dalam era digital yang terus berkembang, “Big Data” adalah istilah yang sering kita dengar. Namun, apa sebenarnya yang dimaksud dengan Big Data? Bagaimana ia berbeda dari data konvensional? Dan apa saja tantangan yang terkait dengan pengelolaan dan pemanfaatan Big Data? Artikel ini akan membahas semua hal tersebut.<\/p>\n\n\n\n

Apa Itu Big Data?<\/h3>\n\n\n\n

Big Data adalah istilah yang digunakan untuk menggambarkan volume besar dan kompleks data yang dikelola, disimpan, dan dianalisis oleh organisasi dan perusahaan. Data dalam kategori Big Data memiliki tiga karakteristik utama, dikenal sebagai “3V”:<\/p>\n\n\n\n

Volume <\/h4>\n\n\n\n

Big Data seringkali berhubungan dengan volume data yang sangat besar. Ini dapat mencakup petabyte (1.024 terabyte) hingga exabyte (1.024 petabyte) data atau lebih.<\/p>\n\n\n\n

Variety <\/h4>\n\n\n\n

Data dalam konteks Big Data dapat sangat beragam, mencakup data terstruktur, semi-terstruktur, dan tak terstruktur. Ini termasuk teks, gambar, suara, video, data geospasial, dan lainnya.<\/p>\n\n\n\n

Velocity <\/h4>\n\n\n\n

Big Data sering kali diproduksi atau diakses dengan kecepatan tinggi. Data dapat terjadi dalam waktu nyata atau hampir waktu nyata, seperti data media sosial atau data sensor Internet of Things (IoT).<\/p>\n\n\n\n

Selain 3V di atas, beberapa sumber juga menambahkan karakteristik lain seperti “Variability” (variabilitas) dan “Value” (nilai), menyoroti pentingnya data dalam memberikan wawasan bisnis yang berharga.<\/p>\n\n\n\n

Perbedaan Antara Big Data dan Data Konvensional<\/h3>\n\n\n\n

Volume<\/h4>\n\n\n\n

Volume Big Data jauh melampaui kapasitas penyimpanan dan kemampuan pengolahan data konvensional. Data konvensional biasanya cukup kecil sehingga dapat dengan mudah diolah oleh database tradisional.<\/p>\n\n\n\n

Variety<\/h4>\n\n\n\n

Data konvensional cenderung memiliki struktur yang sangat terdefinisi. Misalnya, data dalam database operasional tradisional biasanya memiliki format tabel dengan kolom-kolom yang ditentukan. Big Data, di sisi lain, dapat mencakup data yang sangat beragam dalam format yang berbeda-beda, termasuk data teks, gambar, dan video.<\/p>\n\n\n\n

Velocity<\/h4>\n\n\n\n

Data konvensional umumnya diakses, ditambahkan, atau diubah dengan kecepatan yang lebih lambat. Big Data seringkali dihasilkan atau diakses dengan kecepatan tinggi. Contohnya adalah data dari sensor IoT yang menghasilkan data dalam waktu nyata.<\/p>\n\n\n\n

Sumber Data<\/h4>\n\n\n\n

Big Data sering berasal dari berbagai sumber yang terdistribusi. Data konvensional cenderung berasal dari satu sumber atau beberapa sumber yang terintegrasi dengan baik.<\/p>\n\n\n\n

Struktur<\/h4>\n\n\n\n

Data konvensional memiliki struktur yang ketat dan terdefinisi dengan baik, sedangkan Big Data seringkali memiliki struktur yang lebih longgar atau bahkan tidak terstruktur.<\/p>\n\n\n\n

Tantangan Terkait Big Data<\/h3>\n\n\n\n

Pengelolaan dan pemanfaatan Big Data adalah tugas yang kompleks dan penuh tantangan. Berikut adalah beberapa tantangan utama yang terkait dengan Big Data:<\/p>\n\n\n\n

Volume Besar<\/h4>\n\n\n\n

Menyimpan, mengelola, dan mengakses volume data yang besar memerlukan infrastruktur dan penyimpanan yang canggih. Perusahaan perlu berinvestasi dalam penyimpanan data yang skalabel untuk mengatasi volume data yang terus tumbuh.<\/p>\n\n\n\n

Variabilitas Data<\/h4>\n\n\n\n

Data dalam bentuk yang beragam memerlukan alat dan teknik analisis yang berbeda. Organisasi perlu memiliki pemahaman yang mendalam tentang berbagai jenis data untuk menganalisisnya secara efektif.<\/p>\n\n\n\n

Velocity<\/h4>\n\n\n\n

Kecepatan data yang tinggi memerlukan teknologi yang mendukung pemrosesan data real-time atau hampir real-time. Kemampuan untuk merespons perubahan dalam waktu nyata adalah kunci.<\/p>\n\n\n\n

Kualitas Data<\/h4>\n\n\n\n

Dalam big data, data mungkin tidak selalu bersih dan akurat. Perusahaan harus berurusan dengan data yang cacat atau tidak lengkap, dan perlu mengimplementasikan proses pembersihan dan transformasi data.<\/p>\n\n\n\n

Keamanan Data<\/h4>\n\n\n\n

Keamanan data menjadi tantangan ketika data sensitif atau pribadi terlibat. Dengan volume data yang besar, risiko kebocoran atau penyalahgunaan data meningkat.<\/p>\n\n\n\n

Analisis Data yang Kompleks<\/h4>\n\n\n\n

Memahami dan menganalisis data Big Data memerlukan alat dan keterampilan analisis yang tinggi. Pemahaman statistik, pemodelan prediktif, dan pemrosesan bahasa alami menjadi penting.<\/p>\n\n\n\n

Integrasi Data<\/h4>\n\n\n\n

Menggabungkan data dari berbagai sumber dan format yang berbeda dapat menjadi rumit. Interoperabilitas sistem dan alat integrasi data menjadi penting.<\/p>\n\n\n\n

Manfaat Big Data<\/h3>\n\n\n\n

Meskipun Big Data membawa sejumlah tantangan, ada banyak manfaat yang dapat diperoleh dari pengelolaan dan pemanfaatan data besar dengan baik:<\/p>\n\n\n\n

Wawasan Mendalam<\/h4>\n\n\n\n

Big Data memungkinkan perusahaan untuk mendapatkan wawasan yang lebih dalam tentang perilaku pelanggan, tren pasar, dan kinerja bisnis.<\/p>\n\n\n\n

Pengambilan Keputusan yang Cerdas<\/h4>\n\n\n\n

Dengan data yang lebih lengkap dan akurat, organisasi dapat mengambil keputusan yang lebih cerdas dan berbasis fakta.<\/p>\n\n\n\n

Inovasi Produk dan Layanan<\/h4>\n\n\n\n

Big Data membantu organisasi dalam mengidentifikasi peluang inovasi produk dan layanan yang dapat memberikan keunggulan kompetitif.<\/p>\n\n\n\n

Efisiensi Operasional<\/h4>\n\n\n\n

Analisis Big Data dapat membantu dalam meningkatkan efisiensi operasional, mengoptimalkan rantai pasokan, dan mengurangi biaya.<\/p>\n\n\n\n

Personalisasi Layanan<\/h4>\n\n\n\n

Dengan pemahaman yang lebih baik tentang pelanggan, organisasi dapat memberikan pengalaman pelanggan yang lebih personal dan sesuai.<\/p>\n\n\n\n

\n

Baca juga: Keamanan dan Privasi Data dalam Big Data<\/a><\/strong><\/p>\n<\/blockquote>\n\n\n\n

Kesimpulan<\/h3>\n\n\n\n

Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman, dan kecepatan data yang tinggi, Big Data memerlukan pendekatan yang berbeda dalam pengelolaan dan analisis. Meskipun ada sejumlah tantangan yang terkait dengan Big Data, manfaatnya dalam hal wawasan, pengambilan keputusan yang lebih baik, inovasi, efisiensi operasional, dan personalisasi layanan sangat besar. Bagi organisasi yang mampu mengatasi tantangan ini, Big Data adalah sumber daya yang berharga dalam dunia bisnis yang semakin terhubung.<\/p>\n\n\n\n

Sumber: Oracle<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Big Data: Definisi dan Tantangan Dalam era digital yang terus berkembang, “Big Data” adalah istilah yang sering kita dengar. Namun, […]<\/p>\n","protected":false},"author":2,"featured_media":5816,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-disable-related-posts":"","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-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-opacity":"","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-opacity":"","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-opacity":"","overlay-gradient":""}},"ast-content-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-opacity":"","overlay-gradient":""},"tablet":{"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-opacity":"","overlay-gradient":""},"mobile":{"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-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[65],"tags":[66,153,154],"class_list":["post-5794","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","tag-bigdata","tag-bigdata-indonesia","tag-data-bisnis"],"yoast_head":"\nBig Data: Definisi dan Tantangan -<\/title>\n<meta name=\"description\" content=\"Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman,\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data: Definisi dan Tantangan -\" \/>\n<meta property=\"og:description\" content=\"Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman,\" \/>\n<meta property=\"og:url\" content=\"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/alldataint\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-10T08:10:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-10T08:20:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/alldataint.com\/articles\/wp-content\/uploads\/2023\/11\/bigdata-definisi-dan-tantangan.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1080\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"All Data International\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@alldataint\" \/>\n<meta name=\"twitter:site\" content=\"@alldataint\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"All Data International\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/\"},\"author\":{\"name\":\"All Data International\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/#\\\/schema\\\/person\\\/ba7ba14be59e749ad963b03c256bdf90\"},\"headline\":\"Big Data: Definisi dan Tantangan\",\"datePublished\":\"2023-11-10T08:10:38+00:00\",\"dateModified\":\"2023-11-10T08:20:51+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/\"},\"wordCount\":784,\"image\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/bigdata-definisi-dan-tantangan.webp\",\"keywords\":[\"bigdata\",\"bigdata indonesia\",\"data bisnis\"],\"articleSection\":[\"Big Data\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/\",\"url\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/\",\"name\":\"Big Data: Definisi dan Tantangan -\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/bigdata-definisi-dan-tantangan.webp\",\"datePublished\":\"2023-11-10T08:10:38+00:00\",\"dateModified\":\"2023-11-10T08:20:51+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/#\\\/schema\\\/person\\\/ba7ba14be59e749ad963b03c256bdf90\"},\"description\":\"Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman,\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#primaryimage\",\"url\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/bigdata-definisi-dan-tantangan.webp\",\"contentUrl\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/uploads\\\/2023\\\/11\\\/bigdata-definisi-dan-tantangan.webp\",\"width\":1080,\"height\":1080,\"caption\":\"bigdata-definisi dan tantangan\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/big-data-definisi-dan-tantangan\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Big Data: Definisi dan Tantangan\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/#website\",\"url\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/\",\"name\":\"\",\"description\":\"AI anda Data Analytics Indonesia\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/#\\\/schema\\\/person\\\/ba7ba14be59e749ad963b03c256bdf90\",\"name\":\"All Data International\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/litespeed\\\/avatar\\\/61f7f44c6162d5dfecfa0284391b77e4.jpg?ver=1776419305\",\"url\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/litespeed\\\/avatar\\\/61f7f44c6162d5dfecfa0284391b77e4.jpg?ver=1776419305\",\"contentUrl\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/wp-content\\\/litespeed\\\/avatar\\\/61f7f44c6162d5dfecfa0284391b77e4.jpg?ver=1776419305\",\"caption\":\"All Data International\"},\"url\":\"https:\\\/\\\/alldataint.com\\\/articles\\\/author\\\/all-data-international\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Big Data: Definisi dan Tantangan -","description":"Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman,","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/","og_locale":"en_US","og_type":"article","og_title":"Big Data: Definisi dan Tantangan -","og_description":"Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman,","og_url":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/","article_publisher":"https:\/\/www.facebook.com\/alldataint\/","article_published_time":"2023-11-10T08:10:38+00:00","article_modified_time":"2023-11-10T08:20:51+00:00","og_image":[{"width":1080,"height":1080,"url":"https:\/\/alldataint.com\/articles\/wp-content\/uploads\/2023\/11\/bigdata-definisi-dan-tantangan.webp","type":"image\/webp"}],"author":"All Data International","twitter_card":"summary_large_image","twitter_creator":"@alldataint","twitter_site":"@alldataint","twitter_misc":{"Written by":"All Data International","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#article","isPartOf":{"@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/"},"author":{"name":"All Data International","@id":"https:\/\/alldataint.com\/articles\/#\/schema\/person\/ba7ba14be59e749ad963b03c256bdf90"},"headline":"Big Data: Definisi dan Tantangan","datePublished":"2023-11-10T08:10:38+00:00","dateModified":"2023-11-10T08:20:51+00:00","mainEntityOfPage":{"@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/"},"wordCount":784,"image":{"@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#primaryimage"},"thumbnailUrl":"https:\/\/alldataint.com\/articles\/wp-content\/uploads\/2023\/11\/bigdata-definisi-dan-tantangan.webp","keywords":["bigdata","bigdata indonesia","data bisnis"],"articleSection":["Big Data"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/","url":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/","name":"Big Data: Definisi dan Tantangan -","isPartOf":{"@id":"https:\/\/alldataint.com\/articles\/#website"},"primaryImageOfPage":{"@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#primaryimage"},"image":{"@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#primaryimage"},"thumbnailUrl":"https:\/\/alldataint.com\/articles\/wp-content\/uploads\/2023\/11\/bigdata-definisi-dan-tantangan.webp","datePublished":"2023-11-10T08:10:38+00:00","dateModified":"2023-11-10T08:20:51+00:00","author":{"@id":"https:\/\/alldataint.com\/articles\/#\/schema\/person\/ba7ba14be59e749ad963b03c256bdf90"},"description":"Big Data adalah fenomena penting dalam dunia bisnis dan teknologi saat ini. Dengan volume yang besar, keberagaman,","breadcrumb":{"@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#primaryimage","url":"https:\/\/alldataint.com\/articles\/wp-content\/uploads\/2023\/11\/bigdata-definisi-dan-tantangan.webp","contentUrl":"https:\/\/alldataint.com\/articles\/wp-content\/uploads\/2023\/11\/bigdata-definisi-dan-tantangan.webp","width":1080,"height":1080,"caption":"bigdata-definisi dan tantangan"},{"@type":"BreadcrumbList","@id":"https:\/\/alldataint.com\/articles\/big-data-definisi-dan-tantangan\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/alldataint.com\/articles\/"},{"@type":"ListItem","position":2,"name":"Big Data: Definisi dan Tantangan"}]},{"@type":"WebSite","@id":"https:\/\/alldataint.com\/articles\/#website","url":"https:\/\/alldataint.com\/articles\/","name":"","description":"AI anda Data Analytics Indonesia","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/alldataint.com\/articles\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/alldataint.com\/articles\/#\/schema\/person\/ba7ba14be59e749ad963b03c256bdf90","name":"All Data International","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/alldataint.com\/articles\/wp-content\/litespeed\/avatar\/61f7f44c6162d5dfecfa0284391b77e4.jpg?ver=1776419305","url":"https:\/\/alldataint.com\/articles\/wp-content\/litespeed\/avatar\/61f7f44c6162d5dfecfa0284391b77e4.jpg?ver=1776419305","contentUrl":"https:\/\/alldataint.com\/articles\/wp-content\/litespeed\/avatar\/61f7f44c6162d5dfecfa0284391b77e4.jpg?ver=1776419305","caption":"All Data International"},"url":"https:\/\/alldataint.com\/articles\/author\/all-data-international\/"}]}},"_links":{"self":[{"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/posts\/5794","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/comments?post=5794"}],"version-history":[{"count":3,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/posts\/5794\/revisions"}],"predecessor-version":[{"id":5832,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/posts\/5794\/revisions\/5832"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/media\/5816"}],"wp:attachment":[{"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/media?parent=5794"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/categories?post=5794"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/alldataint.com\/articles\/wp-json\/wp\/v2\/tags?post=5794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}