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Kerstiens"}},{"authorImage":{"id":"image-ec639e79af","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--b1502e73-ba1a-4a52-8573-492e2e9f033e/claire-peraccio.jpg?quality=85&preferwebp=true","alt":"Headshot style photo of Claire Peracchio","lazyEnabled":true,"height":"200","width":"200",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-0581cfb1ba","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/claire-peracchio/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Claire Peracchio"}},{"authorImage":{"id":"image-c0f0949d4d","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--95ab92f3-d4b2-46e1-99aa-e54f520a7b93/christopher-heim.png?quality=85&preferwebp=true","lazyEnabled":true,"height":"512","width":"512",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-292a2bbecc","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/christopher-heim/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Christopher Heim"}}],"tag":{"tagText":"Produto e tecnologia","tagColor":"#3F808A"},"title":{"lines":["Snowflake Postgres unifica seus apps, análise de dados e IA"],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnClassNames":{"wistia_video":"aem-GridColumn aem-GridColumn--default--12","blog_text":"aem-GridColumn aem-GridColumn--default--12","blog_text_1243337166":"aem-GridColumn aem-GridColumn--default--12","quote_item_604944415":"aem-GridColumn aem-GridColumn--default--12","blog_text_433232775":"aem-GridColumn aem-GridColumn--default--12","quote_item":"aem-GridColumn aem-GridColumn--default--12","blog_text_683227013":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"appliedCssClassNames":"snowflake-layout-container-inner-padding-small",":items":{"blog_text":{"id":"blog-text-20fc352ea0","text":"\u003Cp\u003EToda empresa opera em dois mundos. Em um deles, seus apps processam pedidos, rastreiam eventos e atendem clientes em tempo real. No outro, sua plataforma de análise de dados revela insights, treina modelos e impulsiona a IA. Entre eles, há um emaranhado de pipelines de extração, transformação e carregamento (ETL), rotinas em lote e ferramentas de terceiros que custam uma fortuna para manter. \u003C/p\u003E\r\n\u003Cp\u003EAgora, o \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/pt_br/product/features/postgres/\"\u003ESnowflake Postgres\u003C/a\u003E está fechando essa lacuna. No Snowflake Summit, anunciamos:\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EEspelhamento de dados: \u003C/b\u003Ereplicação contínua entre o Postgres e o Snowflake (em breve em versão preliminar pública) \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EPostgres para o seu Data Lake:\u003C/b\u003E uma maneira mais flexível de sincronizar o Postgres com a análise de dados usando formatos abertos como o Iceberg (em breve em GA) \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EEles fornecem uma conexão contínua entre dados transacionais e analíticos, sem a necessidade de pipelines complexos.\u003C/p\u003E\r\n\u003Ch2\u003EResolvendo o problema número 1 de infraestrutura\u003C/h2\u003E\r\n\u003Cp\u003EOs clientes nos dizem constantemente que mover dados entre bancos de dados de processamento de transações online (OLTP) e processamento analítico online (OLAP) é a tarefa de infraestrutura mais difícil em seu data estate. Os custos visíveis, como licenciamento de ETL, capacidade de processamento de pipelines e taxas de conectores, são apenas a ponta do iceberg. Por baixo, escondem-se inconsistências de dados, riscos de governança, horas de engenharia gastas em manutenção e decisões atrasadas devido a dados desatualizados.\u003C/p\u003E\r\n\u003Cp\u003ENa era dos agentes de IA e apps em tempo real, essa abordagem deixa você sempre um passo atrás. Seu modelo de fraude não consegue detectar a ameaça de hoje com o carregamento em lote da noite passada. Seu mecanismo de preços não consegue otimizar com um atraso de seis horas.\u003C/p\u003E\r\n\u003Cp\u003ECom o Snowflake Postgres, desenvolvemos uma abordagem fundamentalmente diferente e radicalmente mais simples para usar o Postgres e o Snowflake juntos.\u003C/p\u003E\r\n\u003Ch2\u003EDuas novas maneiras de conectar seus dados: espelhamento de dados contínuo e integração de Data Lake em formato aberto\u003C/h2\u003E\r\n\u003Cp\u003ECom tecnologia da nossa \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://github.com/Snowflake-Labs/pg_lake\"\u003Eextensão pg_lake de código aberto\u003C/a\u003E, agora você pode escolher entre o espelhamento de dados contínuo e a integração flexível de Data Lake em formato aberto para conectar dados transacionais e analíticos de forma contínua.\u003C/p\u003E\r\n\u003Ch4\u003E1. Espelhamento de dados: replicação de dados "configure e esqueça"\u003C/h4\u003E\r\n\u003Cp\u003EO espelhamento de dados fornece replicação de baixa latência entre o Postgres e o Snowflake. Depois de criar um espelho, o Snowflake mantém tabelas de destino que refletem o estado atual de suas tabelas de origem, incluindo alterações de esquema e novas tabelas que você cria em esquemas espelhados.\u003C/p\u003E\r\n\u003Cp\u003EConfigure tudo em poucos cliques pelo \u003Ca rel=\"nofollow noopener noreferrer\" target=\"_blank\" href=\"https://www.snowflake.com/pt_br/product/snowflake-coco/\"\u003ESnowflake CoCo\u003C/a\u003E, pela interface do Snowsight ou por um único comando SQL. É isso. Apenas seus dados, fluindo para onde precisam ir. Confira nesta demonstração:\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"wistia_video":{"id":"wistia-video-15001e18d5","title":{"id":"title","type":"heading1","lines":["Espelhamento de dados do Snowflake Postgres "],":type":"snowflake-site/components/title"},"wistiaVideoId":"5p6rcq9360","showVideoLength":true,"showRewatchButton":true,":type":"snowflake-site/components/wistia-video"},"blog_text_1243337166":{"id":"blog-text-46e75debde","text":"\u003Cp\u003EOs principais benefícios do espelhamento de dados incluem:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EZero infraestrutura para gerenciar: \u003C/b\u003Eos espelhos são executados inteiramente dentro do Snowflake. Não há serviço CDC externo para implementar, nenhum processo de conector para monitorar e nenhum fornecedor adicional para gerenciar.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ELeituras sempre atualizadas: \u003C/b\u003Ecada tabela espelhada inclui uma exibição \u003Ccode\u003E\u003Cspan style=\"color: #3D9970;\"\u003E$live\u003C/span\u003E\u003C/code\u003E que combina dados já aplicados com alterações em andamento. Assim, os leitores veem todas as alterações de origem confirmadas em segundos.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EConsistência transacional: \u003C/b\u003Eas alterações de uma única transação de origem aparecem no destino juntas. Os relacionamentos entre tabelas (como chaves estrangeiras) permanecem intactos, para que suas junções e relatórios downstream continuem precisos.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EHistórico de alterações integrado:\u003C/b\u003E cada tabela espelhada recebe automaticamente um feed de alterações de sete dias (\u003Ccode\u003E\u003Cspan style=\"color: #3D9970;\"\u003E$changes\u003C/span\u003E\u003C/code\u003E) que expõe inserções, atualizações e exclusões, que podem ser consultadas tanto no Snowflake quanto no Postgres. \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EAlta taxa de transferência em qualquer escala: \u003C/b\u003Ea replicação usa uma estratégia de aplicação otimizada que ignora verificações caras de tabela completa, para que a performance continue rápida à medida que seus dados crescem.\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EO espelhamento de dados é especialmente útil para equipes que querem parar de se preocupar com a movimentação de dados. Você configura uma vez, e seus sistemas OLTP e OLAP permanecem sincronizados de forma automática, contínua e confiável. E o espelhamento de dados em breve funcionará na outra direção também: o espelhamento do Snowflake para o Postgres chegará ainda este ano, criando uma verdadeira ponte bidirecional entre seus mundos transacional e analítico.\u003C/p\u003E\n\u003Ch4\u003E2. Postgres para o seu Data Lake: o canivete suíço da movimentação de dados\u003C/h4\u003E\n\u003Cp\u003ENem todo caso de uso exige sincronização contínua. Às vezes, você precisa de mais flexibilidade. Por exemplo, você pode querer mover arquivos específicos, criar tabelas compartilhadas de formato aberto ou transformar dados a caminho do Snowflake.\u003C/p\u003E\n\u003Cp\u003EO Postgres para o seu Data Lake oferece essa flexibilidade:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003EMovimentação de arquivos: \u003C/b\u003Eenvie e extraia arquivos entre o Postgres e o Snowflake por meio de stages internos do Snowflake ou armazenamento de objetos externo.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ETabelas Apache Iceberg™ compartilhadas: \u003C/b\u003Ecrie tabelas Iceberg de formato aberto que tanto o Postgres quanto o Snowflake podem ler. Isso significa uma tabela para dois sistemas e zero duplicação.\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ETransformação durante a movimentação:\u003C/b\u003E aplique transformações SQL (filtros, junções, agregações) à medida que os dados se movem entre o Postgres e o Snowflake. \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EIsso oferece aos desenvolvedores a experiência completa do Postgres que eles adoram, além de interoperabilidade nativa com padrões abertos como Iceberg e Parquet. É para equipes que desejam mais controle sobre como, quando e quais dados são movidos.\u003C/p\u003E\n\u003Ch2\u003EO resultado: uma plataforma, zero pipelines.\u003C/h2\u003E\n\u003Cp\u003EJuntos, esses recursos significam que você pode escolher a abordagem certa para cada uma de suas cargas de trabalho.\u003C/p\u003E\n\u003Cp\u003E \u003C/p\u003E\n\u003Ctable\u003E\n\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd\u003E \u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EEspelhamento de dados\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EPostgres para o seu Data Lake\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EIdeal para\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ESincronização contínua e automática\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EMovimentação flexível e controlada\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003ELatência\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ESegundos\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ESob demanda\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EConfiguração\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EUm comando, em poucos cliques\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ESQL + pg_lake + pg_cron (opcional)\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EDireção          \u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EPostgres → Snowflake (agora)\u003Cbr\u003E\nSnowflake → Postgres (em breve)\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EBidirecional via armazenamento de objetos\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003Ctr\u003E\u003Ctd\u003E\u003Cp\u003E\u003Cb\u003EFormato\u003C/b\u003E\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003ETabelas nativas do Snowflake\u003C/p\u003E\n\u003C/td\u003E\n\u003Ctd\u003E\u003Cp\u003EIceberg, Parquet, CSV, JSON via integração de catálogo, integração de armazenamento ou stages\u003C/p\u003E\n\u003C/td\u003E\n\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Ch2\u003EResultados reais: empresas já estão eliminando pipelines\u003C/h2\u003E\n\u003Ch4\u003EEricsson: de um atraso de 48 horas para minutos\u003C/h4\u003E\n\u003Cp\u003EA equipe de dados de base da Ericsson coleta dados de software, hardware e licenças de todas as redes de clientes do mundo. Várias equipes downstream, da IA ao suporte ao cliente, dependem desses dados. Anteriormente, os dados ficavam presos em quatro bancos de dados herdados conectados por pipelines que levavam até 40 dias para sincronizar.\u003C/p\u003E\n\u003Cp\u003EAo consolidar no Snowflake Postgres, a Ericsson eliminou totalmente esses pipelines. A plataforma de suporte ao cliente deles, onde a criação de tickets depende de saber exatamente o que está implementado em campo, passou de um atraso de dados de 48 horas e tempos de processamento de 12 horas para menos de uma hora, de ponta a ponta. Agora, todas as equipes acessam os mesmos dados confiáveis por meio da camada de compartilhamento da Snowflake.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"quote_item":{"id":"quote-item-9b97473d4d","alignment":"left","layout":"card","quoteSourceName":"Dean Soc","quoteSourceTitle":"Software Engineer, Ericsson","showQuoteIcon":false,"quote":"\"O Snowflake Postgres eliminou o último motivo pelo qual precisávamos de um plano de dados separado. Ao consolidar quatro bancos de dados legados em uma única plataforma para workloads transacionais e analíticos, nos livramos de pipelines de sincronização, fontes da verdade concorrentes e infraestrutura extra.\"","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"blog_text_683227013":{"id":"blog-text-a2dad0e269","text":"\u003Ch4\u003EA SimCorp tornou a sincronização de dados 10 vezes mais rápida\u003C/h4\u003E\n\u003Cp\u003EA SimCorp fornece software de investimentos para as principais instituições financeiras do mundo, gerenciando dados extensos de instrumentos financeiros que abrangem mais de 40 anos. Para dar suporte a essa escala, eles operavam ambientes separados do Postgres e da Snowflake, com processos de reconciliação personalizados que exigiam horas de transferência de dados entre os sistemas.\u003C/p\u003E\n\u003Cp\u003ECom o Snowflake Postgres, essa complexidade foi eliminada. O Snowflake Postgres elimina a necessidade de código de reconciliação, simplificando as operações e reduzindo a sobrecarga.\u003C/p\u003E\n\u003Cp\u003EO impacto tem sido significativo. Seu serviço de ID de mercado, que padroniza os códigos de câmbio para garantir rastreamento e relatórios consistentes, reduziu o tempo de sincronização em 10 vezes, de várias horas para menos de 20 minutos. Ao mesmo tempo, seus modelos de risco de missão crítica e curvas de spread de crédito, que permitem que as equipes de investimento quantifiquem o risco de mercado, agora alcançam disponibilidade imediata para clientes globais por meio de IA e compartilhamento de dados.\u003C/p\u003E\n\u003Cp\u003EOlhando para o futuro, a SimCorp está usando essa base para permitir o balanceamento de carga inteligente entre o Postgres e a Snowflake por meio de sua plataforma de dados. Essa evolução está abrindo caminho para uma nova geração de aplicações com tecnologia de dados transacionais e analíticos integrados, gerando insights mais rápidos, escalabilidade aprimorada e resultados mais fortes para clientes em todo o mundo.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"quote_item_604944415":{"id":"quote-item-656dac3423","alignment":"left","layout":"card","quoteSourceName":"Mike Willett","quoteSourceTitle":"Senior Principal, Head of Data Platform, SimCorp","showQuoteIcon":false,"quote":"\"Our initial tests showed that disk operations are up to 10 times quicker than our previous managed Postgres solution. We were immediately able to support our high-volume transactional updates and complex application workflows with a level of speed and stability that is a big leap forward.\"","showHangingPunctuation":false,":type":"snowflake-site/components/quote-item"},"blog_text_433232775":{"id":"blog-text-2455675b64","text":"\u003Ch2\u003EPor que o Snowflake Postgres é diferente\u003C/h2\u003E\n\u003Cp\u003EA maioria das ferramentas de replicação de dados funciona inserindo um serviço separado entre seu banco de dados e seu warehouse, dando a você outro sistema para monitorar e outro fornecedor em seu stack. Elas tratam a movimentação de dados como um problema externo acoplado à sua infraestrutura.\u003C/p\u003E\n\u003Cp\u003EO Snowflake Postgres a trata como um recurso nativo. A movimentação de dados é desenvolvida no \u003Ca href=\"https://github.com/Snowflake-Labs/pg_lake\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Epg_lake\u003C/a\u003E, nossa extensão do Postgres de código aberto que permite que o Postgres grave diretamente no armazenamento de objetos, a mesma camada da qual a Snowflake lê. Não há intermediários. Apenas o Postgres e a Snowflake, trabalhando juntos de forma nativa.\u003C/p\u003E\n\u003Cp\u003EPara você, isso significa:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ENenhum novo fornecedor\u003C/b\u003E para avaliar, pagar e gerenciar\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ENenhuma nova infraestrutura\u003C/b\u003E para implementar e monitorar\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ENenhuma nova habilidade para aprender\u003C/b\u003E: é o Postgres padrão e a Snowflake padrão, baseados em padrões abertos\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003ENenhum atraso de dados \u003C/b\u003Eprejudicando seus agentes de IA e apps em tempo real\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EE se você já for cliente da Snowflake, poderá impulsionar essas cargas de trabalho transacionais com seus custos comprometidos existentes, sem a necessidade de um novo contrato.\u003C/p\u003E\n\u003Cp\u003EQuando os dados transacionais e analíticos são um só, a IA e os apps operam com a verdade mais recente. Os agentes veem as transações mais recentes quase em tempo real. Os modelos de precificação são executados com dados atualizados. A detecção de fraudes captura as ameaças à medida que elas acontecem. Os dashboards refletem a realidade atual, não a realidade de ontem.\u003C/p\u003E\n\u003Ch2\u003EComece hoje mesmo\u003C/h2\u003E\n\u003Cp\u003EO espelhamento de dados do Postgres para a Snowflake estará disponível em versão preliminar pública em breve. O Postgres para o seu data lake estará em GA em breve. Confira estes recursos para começar:\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/getting-started-with-snowflake-postgres/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EPrimeiros passos com o Snowflake Postgres\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://snowflake.com/en/developers/guides/sync-data-from-postgres-to-snowflake-with-iceberg-and-pg-lake/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EQuickstart: Sincronize dados com o Iceberg e o pg_lake\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://github.com/snowflakedb/pg_lake\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Epg_lake no GitHub\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/LIMITEDACCESS/postgres-mirroring\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003EMovimentação de dados com o Snowflake Postgres\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Ci\u003EDeclarações prospectivas: Esta publicação contém declarações prospectivas sobre futuras ofertas de produtos que não são compromissos de entrega. Os resultados reais podem ser diferentes. Consulte nosso documento 10-Q mais recente para obter mais informações.\u003C/i\u003E\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text","wistia_video","blog_text_1243337166","quote_item","blog_text_683227013","quote_item_604944415","blog_text_433232775"],":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"columnClassNames":{},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,"appliedCssClassNames":"snowflake-responsive-component-top-padding-medium",":items":{},":itemsOrder":[],":type":"wcm/foundation/components/responsivegrid"},"container_author_chip":{"columnClassNames":{"author_chip":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 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