Azure Cosmos DB From Zero 2 Hero
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O documento apresenta o banco de dados Azure Cosmos DB, descrevendo-o como um serviço de banco de dados multi-modelo globalmente distribuído e escalável dinamicamente. Ele discute como o Cosmos DB permite arquiteturas globais escaláveis, experiências rápidas e alta disponibilidade, além de fornecer cinco níveis de consistência personalizáveis e suporte a múltiplos modelos como documentos e grafos. O documento também convida os leitores a experimentarem o Cosmos DB gratuitamente.
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Azure Cosmos DB From Zero 2 Hero
- 1. From Zero 2 Hero Azure Cosmos DB Jhonathan Soares - @jhomarolo
- 2. James Whittaker - @docjamesw “We are reducing the world to data”
- 3. Jhonathan S. Soares • MVP Microsoft – Visual Studio • Neo4j Top 50 & Graph Evangelist • MongoDB Ambassador & Evangelist • Community manager • NoSQLBR • MUG • GraphDB • Cognitive Services • Lead Software Architech Vortx DTVM
- 4. Criar arquiteturas com alcance global vem com problemas de escala global Escalar armazenamento e largura de banda Criar experiências rápidas Garantir alta disponibilidade Codificar aplicações distribuídas globalmente Administrar esquemas complexos Equilibrio na consistência da informação
- 5. Column-family Document Graph Turnkey global distribution Elastic scale out of storage & throughput Guaranteed low latency at the 99th percentile Comprehensive SLAs Five well-defined consistency models Table API Key-value Um serviço de banco de dados multi-model globalmente distribuído e dinamicamente escalável Azure Cosmos DB MongoDB
- 6. O futuro de dados Criar arquiteturas pensando no futuro 80% de todos os dados nos négocios se origina em forma desestruturada estruturados desestructurados 20% 80% <
- 8. Projetando o banco de dados para a nuvem Distribuição Global1 Escalabilidade elástica e ilimitada Millions of transactions/sec Petabytes of data 2 Eficiência de custos com multi- tenancy de finos ajustes 3
- 9. Migrando para Cosmos DB Qualquer origem, qualquer dado
- 10. Interagindo no SQL Hierarquia de recursos
- 11. Escalando para o infinito Replicação geográfica, failover automático e transparente
- 12. Escalando para o infinito Capacidade de armazenamento e processamento dinamicamente escalável
- 13. Escalando para o infinito Request Units Request Units (RU) é uma moeda com base em taxa Faz o resumo dos recursos físicos para executar solicitações Chave para a eficiência de multilocação, SLAs etc Primeiro plano e atividades de segundo plano % IOPS % CPU % Memory
- 14. Escalando para o infinito Capacidade de armazenamento e processamento dinamicamente escalável Read < 1 ms Writes < 6 ms Read < 10 ms Writes < 15 ms 99%50%
- 15. Escalando para o infinito Cinco níveis de consistência personalizada Strong consistency High latency Eventual consistency, Low latency
- 16. Opções de Consistência Escolha entre cinco níveis de consistência definidos para baixa latência e alta disponibilidade Strong Bounded-stateless Session Consistent prefix Eventual A maioria dos aplicativos da vida real não se enquadra nesses dois extremos
- 17. Isso é multi-model! Utilizando como Documento Utilizando como Grafo
- 18. Quem usa CosmosDB? Retail Manufacturing Government / Edu Automotive/IoT Financial Services Professional Services
- 19. Demo time
- 20. Try Azure Cosmos DB for free! aka.ms/cosmosdb-emulator
- 21. Try Azure Cosmos DB for free! https://azure.microsoft.com/en-us/try/cosmosdb/
- 22. NoSQL BR Conference 2018
Notas do Editor
- Azure Cosmos DB offers the first globally distributed, multi-model database service for building planet scale apps. It’s been powering Microsoft’s internet-scale services for years, and now it’s ready to launch yours. Only Azure Cosmos DB makes global distribution turn-key. You can add Azure locations to your database anywhere across the world, at any time, with a single click. Cosmos DB will seamlessly replicate your data and make it highly available. Cosmos DB allows you to scale throughput and storage elastically, and globally! You only pay for the throughput and storage you need – anywhere in the world, at any time.
- Consistency Levels and guarantees Consistency LevelGuarantees Strong – Linearizability Bounded Staleness - Reads lag behind writes by k prefixes or t interval Session - Monotonic reads, monotonic writes, read-your-writes, write-follows-reads Consistent Prefix - Updates returned are some prefix of all the updates, with no gaps EventualOut of order reads
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