{"id":6231,"date":"2018-08-02T20:47:42","date_gmt":"2018-08-02T23:47:42","guid":{"rendered":"https:\/\/dataex.bloglite.info\/?p=6231"},"modified":"2020-10-06T15:56:15","modified_gmt":"2020-10-06T18:56:15","slug":"azure-cosmos-db","status":"publish","type":"post","link":"https:\/\/dataex.com.br\/en\/azure-cosmos-db\/","title":{"rendered":"Azure Cosmos DB"},"content":{"rendered":"Tempo de leitura:<\/span> 3<\/span> minutos<\/span><\/span>

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″ custom_padding=”0px|||||”][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_padding=”0px|||||”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”3.29.3″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”36px|||||”]<\/p>\n

Fala pessoal,<\/span><\/p>\n

<\/p>\n

Hoje vamos dar uma introdu\u00e7\u00e3o sobre Azure Cosmos DB<\/strong>!<\/p>\n

<\/p>\n

O que \u00e9 o Cosmos DB<\/strong>? \u00e9 um banco de dados multi-model globalmente distribu\u00eddo como SaaS <\/strong>pela Microsoft<\/strong>, que suporta m\u00faltiplas APIs, ou seja m\u00faltiplos caminhos para gravar e ler seus dados, o Azure <\/strong>est\u00e1 por cima da infraestrutura do Cosmos DB<\/strong> onde opera em todas as regi\u00f5es, atualmente s\u00e3o 42 regi\u00f5es o que j\u00e1 \u00e9 maior que o Google <\/strong>e a Amazon <\/strong>juntas, e onde temos uma nova regi\u00e3o instalada o Azure Cosmos DB<\/strong> ir\u00e1 por padr\u00e3o.<\/p>\n

<\/p>\n

O Cosmos foi constru\u00eddo sobre o ARS (Atom Record Sequence Schema)<\/strong> esse schema suporta todos seus dados, assim podemos trabalhar com alguns modelos de dados que\u00a0atualmente que s\u00e3o Key- value pair, columns-family, document and graph e tudo isso \u00e9 suportado por 6 APIs.<\/p>\n

<\/p>\n

Table API\u00a0<\/strong>essencialmente para cobrir o modelo de dados Key-value chamado de Azure Table Storage.<\/p>\n

<\/p>\n

Cassandra API\u00a0<\/strong>para cobrir o modelo de dados columns-family.<\/p>\n

<\/p>\n

SQL API\u00a0<\/strong>e\u00a0Mongo API<\/strong>\u00a0cobre o modelo de documentos gravando em JSON os documentos.<\/p>\n

<\/p>\n

Gremlin API<\/strong>\u00a0que cobre o Graph data model.<\/p>\n

<\/p>\n

Apache Spark<\/strong>\u00a0para real-time machine learning sobre datasets distribu\u00eddos globalmente gerenciados pelo Azure Cosmos DB<\/strong>.<\/p>\n

<\/p>\n

\n

O interessante de trabalhar com v\u00e1rias APIs dentro de um \u00fanico database (cosmos db), \u00e9 que conseguimos gravar documentos no API do Mongo, e termos o machine learning trabalhando em tempo real com o Apache Spark API, e vis\u00f5es sobre o mesmo dado em tempo real com o Gremlin, tudo isso de maneira simples de implementar e muito \u00fatil de trabalhar os seus dados.<\/p>\n<\/blockquote>\n

Al\u00e9m da facilidade de ter a lat\u00eancia reduzida com a distribui\u00e7\u00e3o global que o Cosmos DB<\/strong> nos proporciona.<\/p>\n

<\/p>\n

Na arquitetura a seguir temos um exemplo disso com o Cosmos DB<\/strong> sendo replicado por tr\u00eas regi\u00f5es diferentes, com um Web App para atender a cada regi\u00e3o acessando o mesmo Cosmos DB<\/strong> e o Azure Traffic Manager gerenciando as chamadas da Aplica\u00e7\u00e3o assim atendemos com a mesma lat\u00eancia e infraestrutura tr\u00eas continentes diferentes\u00a0 (colocando os dados onde os usu\u00e1rios est\u00e3o !!!).<\/p>\n

<\/p>\n

\"\"<\/figure>\n

<\/p>\n

Al\u00e9m de ter um SLA <\/strong>de 99,99%<\/strong> de disponibilidade, por n\u00e3o ter partion manager n\u00e3o tem limits de storage quando escalamos isso para as 54 regi\u00f5es do Azure<\/strong>.<\/p>\n

<\/p>\n

Por hoje, fico por aqui.<\/p>\n

<\/p>\n

At\u00e9 logo pessoal.<\/p>\n

<\/p>\n

<\/strong><\/p>\n

Bruno Galv\u00edncio.<\/strong><\/p>\n

 <\/p>\n

<\/p>\n

 <\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Tempo de leitura:<\/span> 3<\/span> minutos<\/span><\/span><\/p>\n

Fala pessoal, Hoje vamos dar uma introdu\u00e7\u00e3o sobre Azure Cosmos DB! O que \u00e9 o Cosmos DB? \u00e9 um banco de dados multi-model globalmente distribu\u00eddo como SaaS pela Microsoft, que suporta m\u00faltiplas APIs, ou seja m\u00faltiplos caminhos para gravar e ler seus dados, o Azure est\u00e1 por cima da infraestrutura do Cosmos DB onde opera […]<\/p>\n","protected":false},"author":3,"featured_media":7075,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"\n

Fala pessoal,<\/p>\n\n\n\n

Hoje vamos dar uma introdu\u00e7\u00e3o sobre Azure Cosmos DB<\/strong>!<\/p>\n\n\n\n

O que \u00e9 o Cosmos DB<\/strong>? \u00e9 um banco de dados multi-model globalmente distribu\u00eddo como SaaS <\/strong>pela Microsoft<\/strong>, que suporta m\u00faltiplas APIs, ou seja m\u00faltiplos caminhos para gravar e ler seus dados, o Azure <\/strong>est\u00e1 por cima da infraestrutura do Cosmos DB<\/strong> onde opera em todas as regi\u00f5es, atualmente s\u00e3o 42 regi\u00f5es o que j\u00e1 \u00e9 maior que o Google <\/strong>e a Amazon <\/strong>juntas, e onde temos uma nova regi\u00e3o instalada o Azure Cosmos DB<\/strong> ir\u00e1 por padr\u00e3o.<\/p>\n\n\n\n

O Cosmos foi constru\u00eddo sobre o ARS (Atom Record Sequence Schema)<\/strong> esse schema suporta todos seus dados, assim podemos trabalhar com alguns modelos de dados que atualmente que s\u00e3o Key- value pair, columns-family, document and graph e tudo isso \u00e9 suportado por 6 APIs.<\/p>\n\n\n\n

Table API <\/strong>essencialmente para cobrir o modelo de dados Key-value chamado de Azure Table Storage.<\/p>\n\n\n\n

Cassandra API <\/strong>para cobrir o modelo de dados columns-family.<\/p>\n\n\n\n

SQL API <\/strong>e Mongo API<\/strong> cobre o modelo de documentos gravando em JSON os documentos.<\/p>\n\n\n\n

Gremlin API<\/strong> que cobre o Graph data model.<\/p>\n\n\n\n

Apache Spark<\/strong> para real-time machine learning sobre datasets distribu\u00eddos globalmente gerenciados pelo Azure Cosmos DB<\/strong>.<\/p>\n\n\n\n

O interessante de trabalhar com v\u00e1rias APIs dentro de um \u00fanico database (cosmos db), \u00e9 que conseguimos gravar documentos no API do Mongo, e termos o machine learning trabalhando em tempo real com o Apache Spark API, e vis\u00f5es sobre o mesmo dado em tempo real com o Gremlin, tudo isso de maneira simples de implementar e muito \u00fatil de trabalhar os seus dados.<\/p><\/blockquote>\n\n\n\n

Al\u00e9m da facilidade de ter a lat\u00eancia reduzida com a distribui\u00e7\u00e3o global que o Cosmos DB<\/strong> nos proporciona.<\/p>\n\n\n\n

Na arquitetura a seguir temos um exemplo disso com o Cosmos DB<\/strong> sendo replicado por tr\u00eas regi\u00f5es diferentes, com um Web App para atender a cada regi\u00e3o acessando o mesmo Cosmos DB<\/strong> e o Azure Traffic Manager gerenciando as chamadas da Aplica\u00e7\u00e3o assim atendemos com a mesma lat\u00eancia e infraestrutura tr\u00eas continentes diferentes  (colocando os dados onde os usu\u00e1rios est\u00e3o !!!).<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Al\u00e9m de ter um SLA <\/strong>de 99,99%<\/strong> de disponibilidade, por n\u00e3o ter partion manager n\u00e3o tem limits de storage quando escalamos isso para as 54 regi\u00f5es do Azure<\/strong>.<\/p>\n\n\n\n

Por hoje, fico por aqui.<\/p>\n\n\n\n

At\u00e9 logo pessoal.<\/p>\n\n\n\n

Bruno Galv\u00edncio.<\/strong><\/p>\n","_et_gb_content_width":"","_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[25,29],"tags":[24,19,20,11,22,17,23,18,21],"class_list":["post-6231","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-databases","category-realtime","tag-apache-spark","tag-ars","tag-atom-record-sequence-schema","tag-azure","tag-cassanda-api","tag-cosmos-db","tag-gremlin-api","tag-mongo-db","tag-table-api"],"acf":[],"yoast_head":"\nAzure Cosmos DB - DataEX<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dataex.com.br\/en\/azure-cosmos-db\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Azure Cosmos DB - DataEX\" \/>\n<meta property=\"og:description\" content=\"Tempo de leitura: 3 minutosFala pessoal, Hoje vamos dar uma introdu\u00e7\u00e3o sobre Azure Cosmos DB! O que \u00e9 o Cosmos DB? \u00e9 um banco de dados multi-model globalmente distribu\u00eddo como SaaS pela Microsoft, que suporta m\u00faltiplas APIs, ou seja m\u00faltiplos caminhos para gravar e ler seus dados, o Azure est\u00e1 por cima da infraestrutura do Cosmos DB onde opera […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dataex.com.br\/en\/azure-cosmos-db\/\" \/>\n<meta property=\"og:site_name\" content=\"DataEX\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataExbr\/\" \/>\n<meta property=\"article:published_time\" content=\"2018-08-02T23:47:42+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-10-06T18:56:15+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/dataex.com.br\/wp-content\/uploads\/2019\/11\/LogoAzureCosmosDB-400px-height.png\" \/>\n\t<meta property=\"og:image:width\" content=\"453\" \/>\n\t<meta property=\"og:image:height\" content=\"400\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Bruno Galv\u00edncio\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Bruno Galv\u00edncio\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/\"},\"author\":{\"name\":\"Bruno Galv\u00edncio\",\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/#\\\/schema\\\/person\\\/6f038b0e836b257b4fba6c51a41d7162\"},\"headline\":\"Azure Cosmos DB\",\"datePublished\":\"2018-08-02T23:47:42+00:00\",\"dateModified\":\"2020-10-06T18:56:15+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/\"},\"wordCount\":479,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dataex.com.br\\\/wp-content\\\/uploads\\\/2019\\\/11\\\/LogoAzureCosmosDB-400px-height.png\",\"keywords\":[\"Apache Spark\",\"ARS\",\"Atom Record Sequence Schema\",\"Azure\",\"Cassanda API\",\"Cosmos DB\",\"Gremlin API\",\"Mongo DB\",\"Table API\"],\"articleSection\":[\"Databases\",\"Realtime\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/\",\"url\":\"https:\\\/\\\/dataex.com.br\\\/en\\\/azure-cosmos-db\\\/\",\"name\":\"Azure Cosmos DB - 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