Azure Data Overview
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O documento apresenta os principais serviços de dados do Azure, incluindo máquinas virtuais, SQL Database, DocumentDB, Redis Cache e armazenamento. Ele discute as diferenças entre SQL e NoSQL, com exemplos de DocumentDB e tabelas do Azure. Por fim, aborda serviços avançados como StorSimple, Azure Search e SQL Data Warehouse.
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Azure Data Overview
- 1. Azure Data OverviewFabricio Catae Technical Evangelist Microsoft Azure Vinicius Souza Technical Evangelist
- 2. Azure Data 1. Virtual Machines 2. SQL Database 3. DocumentDB 4. RedisCache 5. Storage Account 6. StorSimple 7. Azure Search 8. SQL Data Warehouse NOSQL x SQL Storage do Azure Cenários Avançados
- 4. NoSQL: Geralmente mais escalável Arquitetura baseada em “scale-out” Modelo simplificado de “transação” Não há “schema” fixo
- 8. Azure Data: Virtual Machine
- 9. Virtual Machine Liberdade para escolha de produto Virtualização do hardware Disponibilidade do Azure Marketplace
- 10. Administração do Servidor Qualquer produto, qualquer versão Configuração do Sistema Operacional Aplicação de patches e hotfixes Você é o Administrador
- 11. SQL DB
- 12. Azure Data: SQL Database (SQL DB)
- 13. SQLDB não é uma máquina
- 14. Arquitetura Camada Cliente Serviços e Roteamento Plataforma: Database Infraestrutura: Hardware e SO PHP WCF Data Services SQL Server Applications and Tools ODBC ADO.NET Tabular Data Stream (TDS)
- 15. Por que SQLDB? Serviço de backup Alta Disponibilidade Possibilidade de ”scale-up” Banco de dados relacional
- 16. Escolha o modelo Service Tier Performance Level Common App Pattern Performance Business Continuity Max DB Size Trans. Perf. Objective DTUs PITR DR / GEO-Rep Basic Basic Small DB 2 GB Reliability / Hr. 5 7 Days DB Copy + Manual Export Standard S0-S3 Cloud app 250 GB Reliability / Min. 10- 100 14 Days DB Copy + Manual Export Premium P1-P11 Mission Critical, High volume, Many concurrent Users 500 GB Reliability / sec. 125- 1750 35 Days Active Geo- replication Elastic Pool Basic, Standard, Premium
- 17. Demo Banco de dados Relacional
- 18. NoSQL
- 19. Sem “Schema” Desenvolvimento iterativo Produção e consumo rápido de dados A validação de dados pode ser postergada Variação brusca de tráfego com altos e baixos
- 20. Azure NoSQL Azure Tables é um serviço NoSQL baseado em Row Store MongoDB é um repositório NoSQL de documentos (JSON) Cassandra é um NoSQL com armazenamento Columnar HBase é a base do Hadoop e HDInsight
- 21. DocumentDB
- 22. Azure Data: DocumentDB (NoSQL)
- 23. DocumentDB na Microsoft 99.95% de disponibilidade Backend dos usuários do MSN.com 10TB de documentos do OneNote API
- 24. Funcionalidades Disponíveis Consultas usando a sintaxe SQL Stored Procedures em Javascript Ajuste no nível de consistência transacional
- 25. Redis Cache
- 26. Azure Data: RedisCache (NoSQL)
- 27. Web Tier Data Storage SQL Data Cache de Dados
- 28. Web Tier Cache Data Data Storage SQL - High Throughput - Low Consistent Latency 50% : <3ms 99% : <10ms Azure Region
- 29. Redis (REmote DIctionary Server) Simples: baseado em “chave-valor” (Key-Value) Baixa latência de resposta Limite entre Cache e NoSQL
- 30. Demo Bancos de dados NoSQL
- 31. Problemas Resolvidos com NoSQL Demora para exibir itens na Home Page Implementação eficiente para Ranking Troca de mensagens com expiração Análise em tempo real
- 32. Não há “schema” fixo
- 33. Storage do Azure
- 34. Azure Data: Storage do Azure
- 35. Arquitetura “Microsoft Azure Storage: A Highly Available Cloud Storage Service with Strong Consistency”, ACM Symposium on Operating System Principals (SOSP), Oct. 2011
- 36. Table Storage
- 39. Blob Storage
- 40. Azure Files Suporte aos protocolos REST, SMB 2.1 e 3.0
- 43. StorSimple
- 44. Custo do Storage Access SSD HDD Cloud Time Working set data Inactive data
- 45. Conectando com a Nuvem 45 Applications in Physical or Virtual Servers StorSimple Hybrid Storage Array Customer Data CenterStorSimple Manager
- 46. StorSimple Appliance (Hardware e Software) StorSimple Virtual Array (Software) Transparente: Não requer alteração dos aplicativos Solução ideal para “File Share” 46
- 47. Azure Search
- 50. Arquitetura Baseado no Apache Lucene Componentes • Index Writer • Query Parser • Index Searcher
- 53. Escalabilidade Arquitetura Massive Parallel Processing (MPP) Escalonamento flexível de acordo com suas necessidades Diferenciação entre CPU e Armazenamento
- 54. Pause O processamento é suspenso, mas os dados não são apagados $$$$
- 55. Visão Complementar •Agregar os dados de múltiplos sources • NoSQL, Hadoop, SQLDB, File Share •Conectar ao Machine Learning e usar scripts R •Visualização gráfica e iterativa com o PowerBI 55
- 57. Azure Data
Editor's Notes
- Slide Objectives: To understand the actual architecture that provides the enterprise-ready SQL Database service. Transition: Developers have spent years working with their technology of choice, and Microsoft wanted to ensure that the technologies and tools you use today will continue to work with SQL Database without learning a whole new set of technologies. Speaking Points: Familiar technology and tools Similar architecture as that of on-premises Additional layer providing server and database partitioning, client connection routing, and billing. Same great SQL Server technology on the backend. Additional services (SQL Database Fabric) to ensure SLAs are met and to ensure optimum performance. Notes: Client - The client layer resides closest to your application, and is used by your application to communicate directly with SQL Database. The client layer can reside on-premise in your datacenter or be hosted in Windows Azure. Because SQL Database provides the same tabular data stream (TDS) interface as SQL Server, you can use familiar tools and libraries to build client applications for data that is in the cloud. Services - The services layer functions as a gateway between the client layer and the platform layer, where the data resides. The services layer provides three functions: provisioning, billing and metering, and connection routing. The services layer provisions the databases that you specify with your Windows Azure platform account. The billing and metering aspect of the services layer enables multi-tenant support by providing monitoring and billing for database usage based on individual Windows Azure platform accounts. SQL Database is built on a scalable platform involving numerous physical servers; this layer handles all the connections routing between your application and the physical servers where your data resides. Platform - The platform layer includes the physical servers and services that support the services layer. The platform layer consists of many instances of SQL Server, each of which is managed by the SQL Database fabric. The SQL Database fabric is a distributed computing system composed of tightly integrated networks, servers, and storage. It enables automatic failover, load balancing, and automatic replication between physical servers. Management services monitor the health of individual servers and enable automated installation of service upgrades and software patches. Infrastructure - The infrastructure layer represents the IT administration of the physical hardware and operating systems that support the services layer.
- Use Azure Portal (Ibiza) to create a new database server
- Use Azure Portal (Ibiza) to create a new database server
- Slide Objectives Understand Flexible Entities Speaker Notes Tables store data as entities. A table can contain entities of any shape There is no fixed schema There is no schema checking There is no strong typing- not that Birthdate is stored as both a datetime value and as a string Not that we can add additional columns Notes http://msdn.microsoft.com/en-us/library/dd573356.aspx
- Slide Objectives Understand Tables Speaker Notes The Table service provides structured storage in the form of tables. The Table service supports a REST API that is compliant with the ADO.NET Data Services REST API. Developers may also use the .NET Client Library for ADO.NET Data Services to access the Table service. Notes http://msdn.microsoft.com/en-us/library/dd573356.aspx
- Use Azure Portal (Ibiza) to create a new database server
- Use Azure Portal (Ibiza) to create a new database server