{"id":117140,"date":"2023-06-09T13:09:13","date_gmt":"2023-06-09T11:09:13","guid":{"rendered":"https:\/\/fotc.com\/?p=117140"},"modified":"2023-06-09T13:31:47","modified_gmt":"2023-06-09T11:31:47","slug":"google-cloud-dataflow","status":"publish","type":"post","link":"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/","title":{"rendered":"Google Cloud Dataflow, un serviciu pentru procesarea volumelor mari de date"},"content":{"rendered":"\n<p>De la analize bazate pe comportamentului clien\u021bilor \u0219i p\u00e2n\u0103 la luarea de decizii \u00een timp real, datele sunt o component\u0103 esen\u021bial\u0103 \u00een activitatea \u0219i progresul oric\u0103rei companii. Cu toate acestea, extragerea, gestionarea \u0219i analiza cantit\u0103\u021bilor mari de date poate fi o sarcin\u0103 descurajant\u0103. Aici intervine Google Cloud Dataflow, o solu\u021bie cloud f\u0103r\u0103 server care revolu\u021bioneaz\u0103 modul \u00een care companiile proceseaz\u0103 \u0219i analizeaz\u0103 datele. \u00cen acest articol, analiz\u0103m avantajele \u0219i beneficiile Google Cloud Dataflow \u0219i explor\u0103m modul \u00een care acesta poate eficientiza modul \u00een care efectua\u021bi opera\u021biunile business, permi\u021b\u00e2ndu-v\u0103 s\u0103 valorifica\u021bi \u00eentregul poten\u021bial al datelor generate de companie.<\/p>\n\n\n\n<h2 id=\"h-ce-este-dataflow-prezentare-general-a-serviciilor\">Ce este Dataflow? Prezentare general\u0103 a serviciilor<\/h2>\n\n\n\n<p>Dataflow este o solu\u021bie <a href=\"https:\/\/fotc.com\/ro\/google-cloud-platform\/\" class=\"ek-link\">Google Cloud<\/a> f\u0103r\u0103 server, cu o laten\u021b\u0103 foarte redus\u0103, oferind o flexibilitate din punct de vedere al costurilor, securitate pentru fluxul de date \u0219i procesarea datelor \u00een lot. Dataflow elimin\u0103 nevoia de opera\u021biuni complexe de \u00eentre\u021binere prin automatizarea furniz\u0103rii \u0219i scal\u0103rii infrastructurii.&nbsp;<\/p>\n\n\n\n<p>Datorit\u0103 scal\u0103rii pe orizontal\u0103 \u0219i vertical\u0103, serviciul permite gestionarea sarcinilor sezoniere de lucru sau a perioadelor intense de trafic f\u0103r\u0103 a v\u0103 \u00eenc\u0103rca facturile. Dataflow permite companiilor s\u0103 aib\u0103 o viziune de ansamblu asupra datelor, s\u0103 de\u021bin\u0103 control deplin asupra proceselor de asimilare a datelor \u0219i s\u0103 sporeasc\u0103 viteza \u0219i performan\u021ba unui produs sau a unei aplica\u021bii.<\/p>\n\n\n\n<p>Tehnic vorbind, Google Cloud Dataflow este un serviciu de pipeline de date care v\u0103 permite s\u0103 implementa\u021bi fluxul \u00een pipeline-uri Apache, pe care le pute\u021bi crea folosind biblioteca Apache Beam.<\/p>\n\n\n\n<p>Aprofunda\u021bi lectura cu alte materiale:<\/p>\n\n\n\n<ul><li><a href=\"https:\/\/fotc.com\/ro\/blog\/ce-este-arhitectura-serverless\/\" class=\"ek-link\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-red-color\">Ce este arhitectura serverless \u0219i care sunt beneficiile acesteia?<\/mark><\/strong><\/a><\/li><\/ul>\n\n\n\n<h3>Principalele caracteristici ale Dataflow:<\/h3>\n\n\n\n<ul><li><strong>Limbaje de programare Dataflow<\/strong> \u2013 Google Dataflow accept\u0103 limbaje de programare precum Python, Java \u0219i Go.<\/li><li><strong>Autoscalare vertical\u0103 \u0219i orizontal\u0103<\/strong> care ajusteaz\u0103 dinamic \u0219i la cerere capacitatea de calcul,<\/li><li><strong>Diagnosticare inteligent\u0103 <\/strong>care permite gestionarea datelor pe baza SLO (Service-Level Objective), op\u021biuni de vizualizare a lucr\u0103rilor \u0219i recomand\u0103ri automate pentru \u00eembun\u0103t\u0103\u021birea performan\u021bei,<\/li><li><strong>Streaming Engine <\/strong>care mut\u0103 p\u0103r\u021bi ale execu\u021biei pipeline-ului \u00een backend-ul serviciului, sc\u0103z\u00e2nd astfel laten\u021ba datelor,<\/li><li><strong>Dataflow Shuffle<\/strong> care mut\u0103 opera\u021biunile de grupare \u0219i contopire a datelor de la VM \u00een backend-ul Dataflow pentru loturi de pipelines care se scaleaz\u0103 f\u0103r\u0103 probleme,<\/li><li><strong>Dataflow SQL<\/strong> permite dezvoltarea pipeline-urilor Dataflow folosind limbajul SQL,<\/li><li><strong>Programarea flexibil\u0103 a resurselor (FlexRS)<\/strong> reduce costurile de procesare a loturilor mul\u021bumit\u0103 program\u0103rii \u0219i contopirii VM-urilor,<\/li><li><strong>\u0218abloane Dataflow <\/strong>create pentru partajarea pipeline-urilor \u00een \u00eentreaga organiza\u021bie,<\/li><li><strong>Integrarea notebook-urilor<\/strong> care permite utilizatorului s\u0103 creeze pipeline cu Vertex AI Notebooks \u0219i s\u0103 le implementeze folosind Dataflow runner,<\/li><li><strong>Capturi cu modific\u0103rile de date \u00een timp rea<\/strong>l pentru sincronizarea \u0219i replicarea datelor cu o laten\u021b\u0103 minim\u0103,<\/li><li><strong>Monitorizare \u00een linie<\/strong> care permite utilizatorului s\u0103 acceseze valorile sarcinii pentru a ajuta la depanarea pipeline-urilor de loturi,<\/li><li><strong>Chei de criptare gestionate de client <\/strong>pentru a proteja pipeline-urile de loturi sau streaming cu CMEK,<\/li><li><strong>Dataflow VPC Service Controls<\/strong>, integrare cu VPS Service Controls pentru un nivel suplimentar de securitate,<\/li><li><strong>IP-urile private <\/strong>ofer\u0103 o mai mare securitate pentru infrastructura de procesare a datelor \u0219i minimizeaz\u0103 consumul \u00eentregului proiect Google Cloud.<\/li><\/ul>\n\n\n\n<h3>Cum func\u021bioneaz\u0103 Dataflow?<\/h3>\n\n\n\n<p>\u00cen general, un pipeline de procesare de date implic\u0103 trei pa\u0219i. Datele sunt \u00eent\u00e2i citite direct de la surs\u0103, apoi sunt transformate, pentru ca \u00een final s\u0103 fie rescrise sau procesate \u00een lot. Aceast\u0103 procesare \u00een loturi este benefic\u0103 companiilor, deoarece reprezint\u0103 un mijloc rentabil de a gestiona cantit\u0103\u021bi mari de date simultan.<\/p>\n\n\n\n<p>Datele sunt citite de la surs\u0103 \u00eentr-o unitate numit\u0103 PCollection, creat\u0103 pentru a fi distribuit\u0103 \u00een numeroase ma\u0219ini. Ulterior, acestea trec prin una sau mai multe opera\u021biuni \u00een acest stadiu, opera\u021biuni c\u0103rora le vom spune transform\u0103ri. De fiecare dat\u0103 c\u00e2nd este rulat\u0103 o transformare, se va crea o nou\u0103 parti\u021bie PCollection. Dup\u0103 ce sunt executate toate transform\u0103rile, pipeline-ul scrie ultima PCollection \u00eentr-o data sink.<\/p>\n\n\n\n<p>Odat\u0103 ce a\u021bi creat pipeline-ul, folosind Apache Beam \u00een limbajul dorit, pute\u021bi folosi Dataflow pentru a ini\u021bia \u0219i executa pipeline-ul respectiv, identificat \u00een acest punct ca o sarcin\u0103 Dataflow. <strong>Urm\u0103ri\u021bi tutorialul urm\u0103tor pentru \u0219i mai multe explica\u021bii despre cum func\u021bioneaz\u0103 \u0219i cum se folose\u0219te Dataflow. <\/strong><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"What is Dataflow?\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/KalJ0VuEM7s?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3>Subtipuri ale serviciului Dataflow<\/h3>\n\n\n\n<p>Google Cloud a creat trei subtipuri ale serviciului pentru diferite utiliz\u0103ri \u0219i pentru procesarea a mari volume de date:<\/p>\n\n\n\n<ul><li><strong>Dataflow Prime<\/strong> \u2013 un serviciu care scaleaz\u0103 pe vertical\u0103 (ad\u0103ug\u00e2nd mai multe instan\u021be) \u0219i pe orizontal\u0103 (cre\u0219terea specifica\u021biilor ma\u0219inii sau prin ad\u0103ugarea de memoriei pentru fluxurile de lucru de procesare a datelor. Dataflow Prime v\u0103 permite s\u0103 crea\u021bi pipeline-uri mai eficiente \u0219i s\u0103 ad\u0103uga\u021bi informa\u021bii \u00een timp real.<\/li><li><strong>Dataflow Go<\/strong> \u2013 un serviciu care ofer\u0103 suport nativ pentru limbajul de programare Go, folosit pentru \u00eenc\u0103rc\u0103turile de lucru de procesare a datelor \u00een loturi \u0219i \u00een flux. Utilizeaz\u0103 modelul multilingv al Apache Beam.<\/li><li><strong>Dataflow ML<\/strong> \u2013 un serviciu dedicat rul\u0103rii modelelor PyTorch \u0219i scikit-learn direct \u00een conduct\u0103. Permite implementarea modelelor ML cu pu\u021bin cod. Dataflow accept\u0103 implementarea modelelor ML, inclusiv prin accesarea GPU-urilor sau sistemelor pentru a antrena modele, fie \u00een mod direct, fie prin intermediul cadrelor precum Tensorflow Extended (TFX). Dataflow ML este o extensie pentru aceste func\u021bionalit\u0103\u021bi.<\/li><\/ul>\n\n\n<div class=\"bg-yellow banners mt-4 mb-4\">\r\n  <div class=\"container \">\r\n    <div class=\"row sw\">\r\n        <div class=\"col-md-7 sw col-12 mb-md-0\">\r\n        <span style=\"margin-bottom: 1rem;\r\n    font-weight: 500;margin-top: 25px;\r\n    line-height: 1.1;\r\n    font-size: 2rem; display: block; color:#fff\">Simplifica\u021bi procesarea datelor \u00een lot cu Dataflow<\/span>\r\n        <\/div>\r\n        <div class=\"col-md-5 sw sww\">\r\n        <img style=\"margin-top:25px;\" src=\"\/app\/uploads\/2023\/02\/FOTC-LOGO-WWW-RGB-RED-2.png\">\r\n        <\/div>\r\n        <\/div>\r\n        <div class=\"row\">\r\n          <div class=\"col-md-7\"><p style=\"color:#fff\">Derama\u021bi un proiect Google Cloud al\u0103turi de FOTC<\/p><\/div>\r\n        <div class=\"col-md-5 col-12 text-cent-right\">\r\n        <a class=\"newbtn bannerbtn\" href=\"https:\/\/fotc.com\/ro\/contact\/\">Programa\u021bi o discu\u021bie<\/a>\r\n        \r\n        <\/div>\r\n    <\/div>\r\n  <\/div>\r\n<\/div>\n\n\n<h2>C\u00e2nd merit\u0103 s\u0103 utiliza\u021bi serviciul Dataflow?<\/h2>\n\n\n\n<p>Dataflow este o op\u021biuni potrivit\u0103 pentru <strong>aplica\u021bii care folosesc inteligen\u021ba artificial\u0103 \u00een timp real, necesit\u0103 depozitarea cantit\u0103\u021bilor mari de date sau analiza acestora \u00een flux. <\/strong><\/p>\n\n\n\n<p><strong>\u00cen ce fel situa\u021bii v\u0103 va ajuta Dataflow?<\/strong> \u00cel pute\u021bi folosi pentru cercetarea \u0219i segmentare \u00een domeniu retail, clickstream sau analize la punctul de v\u00e2nzare. Serviciul va ajuta, de asemenea, la detectarea fraudei \u00een serviciile financiare, \u00een personalizarea experien\u021bei pentru utilizatorii de jocuri \u0219i la analiza IoT \u00een industrii precum produc\u021bie \u0219i manufactur\u0103, asisten\u021b\u0103 medical\u0103 sau logistic\u0103.<\/p>\n\n\n\n<p>Unul dintre cei mai cunoscu\u021bi clien\u021bi care folosesc Dataflow este Renault. \u00cenc\u0103 din 2016, constructorul francez de ma\u0219ini a \u00eenceput o transformare digital\u0103 ca parte a alinierii sale cu Industry 4.0, care a dus la implementarea infrastructurii Google Cloud \u00een companie. De atunci, serviciul Dataflow a devenit instrumentul principal pentru majoritatea nevoilor de procesare a datelor \u00een platform\u0103. Drept urmare, Renault folose\u0219te Dataflow pentru a extrage \u0219i transforma rapid date din site-urile de produc\u021bie \u0219i din alte puncte cheie.<\/p>\n\n\n\n<p>Citi\u021bi mai multe:<\/p>\n\n\n\n<ul><li><a href=\"https:\/\/cloud.google.com\/blog\/products\/data-analytics\/tips-and-tricks-to-get-your-cloud-dataflow-pipelines-into-production\" class=\"ek-link\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-red-color\">Ponturi \u0219i sfaturi pentru a utiliza pipeline-urile Dataflow \u00een produc\u021bie<\/mark><\/strong><\/a><\/li><\/ul>\n\n\n\n<h2>C\u00e2t cost\u0103 Dataflow?<\/h2>\n\n\n\n<p>La fel ca majoritatea serviciilor din Google Cloud, Dataflow func\u021bioneaz\u0103 \u0219i pe un model de plat\u0103 pe m\u0103sur\u0103 ce utiliza\u021bi (<strong>pay-as-you-go<\/strong>). Vor fi facturate exclusiv resursele pe care le consum\u0103 sarcinile companiei \u0219i anume: regiunea \u00een care ruleaz\u0103 joburile, tipul de instan\u021b\u0103 VM, CPU pe or\u0103, memoria pe or\u0103 sau volumul de date procesate. <\/p>\n\n\n\n<p><strong>Tariful de stabilire a pre\u021burilor se bazeaz\u0103 pe or\u0103, dar utilizarea Dataflow este facturat\u0103 \u00een trepte de c\u00e2te o secund\u0103 pe baza \u00eenc\u0103rc\u0103rii. <\/strong>C\u00e2nd Dataflow se intersecteaz\u0103 cu alte servicii, cum ar fi Cloud Storage sau Pub\/Sub, costurile acestor servicii se vor aplica separat.<\/p>\n\n\n\n<p>Una dintre caracteristicile de stabilire a pre\u021burilor Dataflow este Flexible Resource Scheduling (FlexRS). Acesta combin\u0103 ma\u0219ini virtuale \u00eentr-un singur pool Dataflow, asigur\u00e2nd costuri de procesare mai mici.<\/p>\n\n\n\n<p>Mai jos, g\u0103si\u021bi exemple de pre\u021buri Dataflow facturate pentru o or\u0103 de utilizare, pentru regiunea Londra (europe-wst2), cu configura\u021bii de instan\u021b\u0103:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img width=\"1024\" height=\"346\" src=\"https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-1024x346.png\" alt=\"\" class=\"wp-image-95775\" srcset=\"https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-1024x346.png 1024w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-300x101.png 300w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-768x259.png 768w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-123x42.png 123w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-142x48.png 142w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-352x119.png 352w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-542x183.png 542w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing-26x9.png 26w, https:\/\/fotc.com\/app\/uploads\/2022\/11\/dataflow-pricing.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Google v\u0103 pune la dispozi\u021bie un <a href=\"https:\/\/cloud.google.com\/products\/calculator\" class=\"ek-link\">calculator de pre\u021buri<\/a> pentru a ajuta la estimarea costurilor, dar datorit\u0103 num\u0103rului mare de variabile, costul Dataflow va fi specific oric\u0103rui caz particular de utilizare.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>De la analize bazate pe comportamentului clien\u021bilor \u0219i p\u00e2n\u0103 la luarea de decizii \u00een timp real, datele sunt o component\u0103 esen\u021bial\u0103 \u00een activitatea \u0219i progresul oric\u0103rei companii. Cu toate acestea, extragerea, gestionarea \u0219i analiza cantit\u0103\u021bilor mari de date poate fi o sarcin\u0103 descurajant\u0103. Aici intervine Google Cloud Dataflow, o solu\u021bie cloud f\u0103r\u0103 server care revolu\u021bioneaz\u0103 &hellip; <a href=\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/\">Continued<\/a><\/p>\n","protected":false},"author":19,"featured_media":117142,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":4,"_editorskit_typography_data":[],"_editorskit_blocks_typography":"","_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}"},"categories":[562],"tags":[1041,1042],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v16.7 (Yoast SEO v19.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Prelucrarea datelor cu Google Cloud Dataflow | FOTC<\/title>\n<meta name=\"description\" content=\"Descoperi\u021bi Dataflow - un serviciu Google Cloud f\u0103r\u0103 server de generare \u0219i procesare a volumelor mari de date.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/\" \/>\n<meta property=\"og:locale\" content=\"ro_RO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Prelucrarea datelor cu Google Cloud Dataflow | FOTC\" \/>\n<meta property=\"og:description\" content=\"Descoperi\u021bi Dataflow - un serviciu Google Cloud f\u0103r\u0103 server de generare \u0219i procesare a volumelor mari de date.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/\" \/>\n<meta property=\"og:site_name\" content=\"FOTC\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-09T11:09:13+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-06-09T11:31:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/fotc.com\/app\/uploads\/2023\/06\/BLOG_GCP_RO-2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Laura Paraschiv\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Prelucrarea datelor cu Google Cloud Dataflow | FOTC\" \/>\n<meta name=\"twitter:description\" content=\"Descoperi\u021bi Dataflow - un serviciu Google Cloud f\u0103r\u0103 server de generare \u0219i procesare a volumelor mari de date.\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/\",\"url\":\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/\",\"name\":\"Prelucrarea datelor cu Google Cloud Dataflow | FOTC\",\"isPartOf\":{\"@id\":\"https:\/\/fotc.com\/#website\"},\"datePublished\":\"2023-06-09T11:09:13+00:00\",\"dateModified\":\"2023-06-09T11:31:47+00:00\",\"author\":{\"@id\":\"https:\/\/fotc.com\/#\/schema\/person\/e3a6b214e5a3311a79985b4c3dd137fd\"},\"description\":\"Descoperi\u021bi Dataflow - un serviciu Google Cloud f\u0103r\u0103 server de generare \u0219i procesare a volumelor mari de date.\",\"breadcrumb\":{\"@id\":\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/#breadcrumb\"},\"inLanguage\":\"ro-RO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fotc.com\/ro\/blog\/google-cloud-dataflow\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"RO\",\"item\":\"https:\/\/fotc.com\/ro\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Google Cloud Dataflow, un serviciu pentru procesarea volumelor mari de date\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fotc.com\/#website\",\"url\":\"https:\/\/fotc.com\/\",\"name\":\"FOTC\",\"description\":\"Partner Google Cloud\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/fotc.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"ro-RO\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/fotc.com\/#\/schema\/person\/e3a6b214e5a3311a79985b4c3dd137fd\",\"name\":\"Laura Paraschiv\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ro-RO\",\"@id\":\"https:\/\/fotc.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/cba586d4f1373c8f4c7a30c466e1a6a0?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/cba586d4f1373c8f4c7a30c466e1a6a0?s=96&d=mm&r=g\",\"caption\":\"Laura Paraschiv\"},\"description\":\"Laura Paraschiv are peste 5 ani de activitate ca jurnalist \u0219i al\u021bi 5 ani experien\u021b\u0103 de content writer \u0219i marketer. 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