{"id":547,"date":"2022-02-01T22:42:00","date_gmt":"2022-02-02T02:42:00","guid":{"rendered":"https:\/\/www.softwareag.com\/?p=547"},"modified":"2026-02-12T12:19:54","modified_gmt":"2026-02-12T16:19:54","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":"

What stops you from using your trusted mainframe to innovate in the cloud? There are some challenges, and they begin with data integration<\/a>.<\/p>\n\n\n\n

Para a maioria das organiza\u00e7\u00f5es, a transforma\u00e7\u00e3o digital envolve um h\u00edbrido de sistemas no local e na nuvem. Voc\u00ea precisa de ambos: As plataformas locais existentes oferecem confiabilidade e desempenho para a continuidade dos neg\u00f3cios, enquanto os servi\u00e7os em nuvem oferecem uma proposta de valor atraente para aplicativos inovadores e infraestrutura el\u00e1stica 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

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  1. Connectivity<\/strong>: Getting data access<\/a> for mainframe, mid-range, desktop and cloud platforms<\/li>\n\n\n\n
  2. Latency<\/strong>: Bringing together a world of varied data structures in a data warehouse or data lake fast enough to enable real-time dashboarding, analytics and streaming analytics<\/li>\n\n\n\n
  3. Transformation<\/strong>: Transforming data in flight beyond simple extract, transform, load (ETL) processes, both to change metadata and to support compatibility between cloud-based data warehouses, legacy and non-relational data sources.<\/li>\n\n\n\n
  4. Simplicity<\/strong>: Finding a single, reliable, cost-effective solution to connect data across cloud and on-premises environments that is easy to implement and update.<\/li>\n<\/ol>\n\n\n\n

    In other words, you need a data integration solution<\/a> that keeps your cloud data in sync with your mainframe or legacy systems of record, using minimal resources. The best approach enables you to easily move, sync and replicate data<\/a> between on-premises infrastructure and the cloud, so you can make the most of your data wherever it resides, no matter which application or tool needs it.<\/p>\n\n\n\n

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    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>
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    The value in legacy:<\/strong> While cloud applications and databases grow by leaps and bounds, your organization and others will have compelling reasons to keep on-premises systems. Between     40<\/a>\u201380<\/a>% of enterprise data either resides or originates on the mainframe, and some 70% of the Fortune 500<\/a> use mainframes for core business operations. These systems offer fast, reliable performance, with decades of investment in unique business logic. It\u2019s hard to overstate the value of business continuity and trusted security.<\/p>\n\n\n\n

    Cloud transformation<\/a><\/strong>: And then there is the cloud: Elastic, scalable and continuously improving. Cloud application platforms are increasingly attractive, and important: Bain has found<\/a> that CIOs already consider their cloud service providers to be critical, strategic IT partners. The average company uses 53 cloud platform services, beyond basic computing and storage.<\/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

    Hybrid <\/strong>data movement<\/strong><\/a>: <\/strong>The right integration strategy is a critical component of an AI-ready, data-centric organization. In a seamless hybrid world, you can push<\/em> data from on-premises operations up to the cloud to generate insights that lead to better customer services and greater innovation. And you can pull <\/em>data from applications in the cloud to update your on-premises systems of record.<\/p>\n\n\n\n

    Consider the needs behind moving data from the mainframe to a cloud data warehouse or data lake. Data lakes such as Snowflake<\/a> are valuable for efficient consolidation, access and reporting, as well as the cloud\u2019s ever-growing BI and analytics capabilities. When data originates from your on-premises systems of record, you need to ensure your data in the cloud is reliable and up to date without compromising your source systems\u2019 uptime and performance. This means replicating your enterprise data from virtually any source to the cloud, and in some cases only capturing changes from data sources so you\u2019re not using resources to update static information.<\/p>\n\n\n\n

    Em seguida, observe a outra dire\u00e7\u00e3o - mover os dados da nuvem para o mainframe. Quando a sua organiza\u00e7\u00e3o adota um novo aplicativo em nuvem, \u00e9 necess\u00e1rio mover os dados do aplicativo para o banco de dados do mainframe, que \u00e9 o seu sistema de registro. Ou, no caso da moderniza\u00e7\u00e3o do mainframe, voc\u00ea pode optar por substituir um m\u00f3dulo de um aplicativo de mainframe por um novo aplicativo em nuvem. O mainframe precisar\u00e1 dos dados desse aplicativo em nuvem para continuar a funcionar como seu sistema de registro com dados precisos e completos.<\/p>\n\n\n\n

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

    CONNX from Software AG<\/a> delivers a complete solution for data integration in a hybrid world. It offers out-of-the-box connectivity to an industry-leading 150+ data sources and platforms, including legacy data sources such as Adabas, VSAM, IMS, Rdb, Db2 and RMS. Full ETL and ELT capabilities enable you to transform data in flight, with comprehensive ways to map tables and fields.
    <\/p>\n\n\n\n

    To reduce demands on your enterprise systems, you can use \u201cchange data capture\u201d to incrementally update only those records that have changed, reducing bandwidth and workload on your on-premises platforms. Our approach to pure-play data integration<\/a> means all your systems can work together\u2014and you can elevate the role of your data and analytics strategy within the organization.<\/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

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