{"id":547,"date":"2022-02-01T22:42:00","date_gmt":"2022-02-02T02:42:00","guid":{"rendered":"https:\/\/www.softwareag.com\/?p=547"},"modified":"2026-06-08T16:25:46","modified_gmt":"2026-06-08T20:25:46","slug":"mainframe-cloud-data-integration","status":"publish","type":"post","link":"https:\/\/www.softwareag.com\/br\/blog\/data-integration\/mainframe-cloud-data-integration\/","title":{"rendered":"Compartilhando dados do mainframe com a nuvem?"},"content":{"rendered":"

O que impede voc\u00ea de usar seu mainframe confi\u00e1vel para inovar na nuvem? Existem alguns desafios, e eles come\u00e7am com a integra\u00e7\u00e3o de dados<\/a>.<\/p>\n\n\n\n

Para a maioria das organiza\u00e7\u00f5es, alcan\u00e7ar a transforma\u00e7\u00e3o digital envolve um modelo h\u00edbrido de sistemas on-premises e nuvem. Voc\u00ea precisa de ambos: as plataformas on-premises existentes oferecem confiabilidade e desempenho para a continuidade dos neg\u00f3cios, enquanto os servi\u00e7os em nuvem apresentam uma proposta de valor atraente para aplica\u00e7\u00f5es inovadoras e infraestrutura escal\u00e1vel sob demanda.<\/p>\n\n\n\n

Mas, para que esse modelo h\u00edbrido funcione sem problemas, \u00e9 preciso ter uma solu\u00e7\u00e3o de integra\u00e7\u00e3o para superar quatro desafios comuns:<\/p>\n\n\n\n

    \n
  1. Conectividade<\/strong>: Obter data access<\/a> para plataformas de mainframe, m\u00e9dio porte, desktop e nuvem<\/li>\n\n\n\n
  2. Lat\u00eancia<\/strong>: Reunir um conjunto diversificado de estruturas de dados em um data warehouse ou data lake com rapidez suficiente para permitir dashboards em tempo real, an\u00e1lises e analytics em streaming<\/li>\n\n\n\n
  3. Transforma\u00e7\u00e3o<\/strong>: Transformar dados em tr\u00e2nsito al\u00e9m dos processos simples de extra\u00e7\u00e3o, transforma\u00e7\u00e3o e carga (ETL), tanto para alterar metadados quanto para oferecer suporte \u00e0 compatibilidade entre data warehouses na nuvem, sistemas legados e fontes de dados n\u00e3o relacionais.<\/li>\n\n\n\n
  4. Simplicidade<\/strong>: Encontrar uma solu\u00e7\u00e3o \u00fanica, confi\u00e1vel e econ\u00f4mica para conectar dados entre ambientes de nuvem e on-premises, que seja f\u00e1cil de implementar e atualizar.<\/li>\n<\/ol>\n\n\n\n

    Em outras palavras, voc\u00ea precisa de uma solu\u00e7\u00e3o de\u00a0integra\u00e7\u00e3o de dados<\/a>\u00a0que mantenha seus dados na nuvem sincronizados com seu mainframe ou sistemas legados de registro, utilizando o m\u00ednimo de recursos. A melhor abordagem permite mover, sincronizar e\u00a0replicar dados<\/a>\u00a0facilmente entre a infraestrutura on-premises e a nuvem, para que voc\u00ea possa aproveitar ao m\u00e1ximo seus dados onde quer que eles estejam, independentemente da aplica\u00e7\u00e3o ou ferramenta que precise deles.<\/p>\n\n\n\n

    \n
    Clique aqui para descobrir como modernizar rapidamente seus dados de mainframe<\/a><\/div>\n<\/div>\n\n\n\n

    Nuvem e legado, trabalhando juntos<\/strong>
    <\/h3>\n\n\n\n


    O valor dos sistemas legados:<\/strong> Embora as aplica\u00e7\u00f5es e bases de dados em nuvem cres\u00e7am rapidamente, sua organiza\u00e7\u00e3o \u2014 assim como muitas outras \u2014 ter\u00e1 motivos s\u00f3lidos para manter sistemas on-premises. Entre 40% e 80% dos dados corporativos residem ou se originam em mainframes, e cerca de 70% das empresas da Fortune 500 utilizam mainframes para opera\u00e7\u00f5es essenciais de neg\u00f3cios. Esses sistemas oferecem desempenho r\u00e1pido e confi\u00e1vel, com d\u00e9cadas de investimento em l\u00f3gicas de neg\u00f3cio exclusivas. \u00c9 dif\u00edcil exagerar o valor da continuidade dos neg\u00f3cios e da seguran\u00e7a confi\u00e1vel.<\/p>\n\n\n\n

    Transforma\u00e7\u00e3o em nuvem<\/a><\/strong>: E h\u00e1 tamb\u00e9m a nuvem: flex\u00edvel, escal\u00e1vel e em constante evolu\u00e7\u00e3o. As plataformas de aplica\u00e7\u00f5es em nuvem s\u00e3o cada vez mais atraentes \u2014 e importantes: a Bain identificou que os CIOs j\u00e1 consideram seus provedores de servi\u00e7os em nuvem como parceiros estrat\u00e9gicos e cr\u00edticos de TI. Em m\u00e9dia, as empresas utilizam 53 servi\u00e7os de plataforma em nuvem, al\u00e9m de computa\u00e7\u00e3o e armazenamento b\u00e1sicos.<\/p>\n\n\n\n

    Integra\u00e7\u00e3o de dados<\/strong> \u00e9 a capacidade de mover, sincronizar e replicar dados de sua gama diversificada de sistemas - \u00e9 o segredo para uma conex\u00e3o perfeita entre fontes de dados legadas, bancos de dados relacionais, big data e a nuvem. \u00c9 assim que voc\u00ea pode obter os benef\u00edcios anal\u00edticos de mover seu data warehouse para a nuvem e, ao mesmo tempo, manter suas diversas fontes de dados sincronizadas.<\/p>\n\n\n\n

    Movimenta\u00e7\u00e3o de dados h\u00edbrida<\/strong>: A estrat\u00e9gia de integra\u00e7\u00e3o correta \u00e9 um componente cr\u00edtico de uma organiza\u00e7\u00e3o orientada a dados e preparada para IA. Em um ambiente h\u00edbrido e integrado, voc\u00ea pode enviar<\/em> dados das opera\u00e7\u00f5es on-premises para a nuvem para gerar insights que resultam em melhores servi\u00e7os ao cliente e maior inova\u00e7\u00e3o. E tamb\u00e9m pode trazer<\/em> dados de aplica\u00e7\u00f5es na nuvem para atualizar seus sistemas de registro on-premises.<\/p>\n\n\n\n

    Considere as necessidades por tr\u00e1s da movimenta\u00e7\u00e3o de dados do mainframe para um data warehouse ou data lake na nuvem. Data lakes como o Snowflake<\/a> s\u00e3o valiosos para consolida\u00e7\u00e3o eficiente, acesso e gera\u00e7\u00e3o de relat\u00f3rios, al\u00e9m das capacidades de BI e analytics da nuvem, que est\u00e3o em constante expans\u00e3o. Quando os dados se originam dos seus sistemas de registro on-premises, \u00e9 essencial garantir que os dados na nuvem sejam confi\u00e1veis e estejam atualizados, sem comprometer a disponibilidade e o desempenho dos sistemas de origem. Isso significa replicar os dados corporativos de praticamente qualquer fonte para a nuvem e, em alguns casos, capturar apenas as altera\u00e7\u00f5es nas fontes de dados, evitando o uso desnecess\u00e1rio de recursos para atualizar informa\u00e7\u00f5es est\u00e1ticas.<\/p>\n\n\n\n

    Agora considere o outro sentido, a movimenta\u00e7\u00e3o de dados da nuvem para o mainframe. Quando sua organiza\u00e7\u00e3o adota uma nova aplica\u00e7\u00e3o em nuvem, \u00e9 necess\u00e1rio transferir os dados dessa aplica\u00e7\u00e3o para o banco de dados do mainframe, que \u00e9 o seu sistema de registro. Ou, no caso de moderniza\u00e7\u00e3o do mainframe, voc\u00ea pode optar por substituir um m\u00f3dulo de uma aplica\u00e7\u00e3o de mainframe por uma nova aplica\u00e7\u00e3o em nuvem. Nesse cen\u00e1rio, o mainframe continuar\u00e1 precisando dos dados dessa aplica\u00e7\u00e3o em nuvem para funcionar como seu sistema de registro, com dados precisos e completos.<\/p>\n\n\n\n

    \n
    Clique aqui para saber mais sobre a replica\u00e7\u00e3o de dados para o Snowflake<\/a><\/div>\n<\/div>\n\n\n\n

    A solu\u00e7\u00e3o CONNX da Software AG<\/a> oferece uma solu\u00e7\u00e3o completa para integra\u00e7\u00e3o de dados em um ambiente h\u00edbrido. A plataforma disponibiliza conectividade pronta para uso com mais de 150 fontes de dados e plataformas l\u00edderes do setor, incluindo fontes legadas como Adabas, VSAM, IMS, Rdb, Db2 e RMS. Recursos completos de ETL e ELT permitem transformar dados em tr\u00e2nsito, com formas abrangentes de mapear tabelas e campos.
    <\/p>\n\n\n\n

    Para reduzir a carga sobre seus sistemas corporativos, voc\u00ea pode usar captura de dados de mudan\u00e7as (change data capture) para atualizar incrementalmente apenas os registros que foram alterados, reduzindo o uso de banda e a carga de trabalho nas suas plataformas on-premises. O modelo de integra\u00e7\u00e3o de dados pure-play<\/a> permite que todos os seus sistemas trabalhem em conjunto e que voc\u00ea eleve o papel da sua estrat\u00e9gia de dados e analytics dentro da organiza\u00e7\u00e3o.<\/p>\n\n\n\n

    Com o poder da movimenta\u00e7\u00e3o eficiente de dados, da replica\u00e7\u00e3o de dados em tempo real e da sincroniza\u00e7\u00e3o quase em tempo real, seus sistemas corporativos e de nuvem podem trabalhar juntos sem problemas. Estamos ansiosos para ajud\u00e1-lo a combinar os pontos fortes do seu legado e a inova\u00e7\u00e3o na nuvem para criar um futuro h\u00edbrido que funcione.<\/p>\n\n\n\n

    \n\n\n\n \n
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    Integre dados de mainframe e nuvem ao abordar conectividade, lat\u00eancia, transforma\u00e7\u00e3o e simplicidade, permitindo movimenta\u00e7\u00e3o cont\u00ednua de dados em ambientes h\u00edbridos e sincroniza\u00e7\u00e3o em tempo real.<\/p>","protected":false},"author":9,"featured_media":548,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[45],"tags":[60,61],"product":[48],"class_list":["post-547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-integration","tag-cloud","tag-mainframe","product-connx"],"acf":[],"yoast_head":"\nSharing mainframe data with the cloud? | Software AG<\/title>\n<meta name=\"description\" content=\"Explore mainframe data integration and overcome challenges in achieving smooth hybrid model workflows between on-premises and cloud.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.softwareag.com\/br\/blog\/data-integration\/mainframe-cloud-data-integration\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sharing mainframe data with the cloud?\" \/>\n<meta property=\"og:description\" content=\"Explore mainframe data integration and overcome challenges in achieving smooth hybrid model workflows between on-premises and cloud.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.softwareag.com\/br\/blog\/data-integration\/mainframe-cloud-data-integration\/\" \/>\n<meta property=\"og:site_name\" content=\"Software AG\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SoftwareAG\" \/>\n<meta property=\"article:published_time\" content=\"2022-02-02T02:42:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-08T20:25:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.softwareag.com\/app\/uploads\/2025\/08\/blog-sharing-mainframe-data-cloud-hero.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Nicole Ritchie\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@softwareag\" \/>\n<meta name=\"twitter:site\" content=\"@softwareag\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Nicole Ritchie\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/\"},\"author\":{\"@type\":\"Person\",\"@id\":\"https:\/\/www.softwareag.com\/br\/contributors\/nicole-ritchie\/#person-contributor-5474\",\"name\":\"Nicole Ritchie\",\"url\":\"https:\/\/www.softwareag.com\/br\/contributors\/nicole-ritchie\/\"},\"headline\":\"Sharing mainframe data with the cloud?\",\"datePublished\":\"2022-02-02T02:42:00+00:00\",\"dateModified\":\"2026-06-08T20:25:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/\"},\"wordCount\":903,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.softwareag.com\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.softwareag.com\/app\/uploads\/2025\/08\/blog-sharing-mainframe-data-cloud-hero.jpg\",\"keywords\":[\"Cloud\",\"Mainframe\"],\"articleSection\":[\"Data Integration\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/\",\"url\":\"https:\/\/www.softwareag.com\/blog\/data-integration\/mainframe-cloud-data-integration\/\",\"name\":\"Sharing mainframe data with the cloud? 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