O slideshow foi denunciado.
Utilizamos seu perfil e dados de atividades no LinkedIn para personalizar e exibir anúncios mais relevantes. Altere suas preferências de anúncios quando desejar.

Big Data in the Cloud with Azure Marketplace Images

487 visualizações

Publicada em

Here are some of the trends that I'm seeing from customer looking to build Azure-based Cloud Big Data solutions using images from the Azure Marketplace

Publicada em: Tecnologia
  • Seja o primeiro a comentar

  • Seja a primeira pessoa a gostar disto

Big Data in the Cloud with Azure Marketplace Images

  1. 1. ModernDataWarehouse • Hadoop as an ETL/ELT optimization engine • Integration of streaming engines for data ingestion • Lambda and Hybrid architectures that include multiple processing and storage layers DataLakes • A good starting point for an organization to enter into Big Data • Collect data points as files in a massively distributed file system for analysis, processing and warehousing AdvancedAnalytics • Real-time stream- based analytics • Machine Learning • Leverage statistics- based packages in R and Python for exploratory analysis • Uncover the valuable data points from Data Lake
  2. 2. Scale • Elasticity. Don’t engineer for worst- case scenario all the time. • Moving data to Azure means taking advantage of Microsoft’s bottomless storage and enormous compute resources. SpeedofDeployment • Customers want to take advantage of Azure’s ability to automate deployments • A huge advantage of Cloud Data solutions in Azure is to quickly spin-up & spin- down environments in dev/test, QA, production as well as pause & stop PolyglotEnvironments • Azure Data solutions are able to incorporate complex heterogeneous data environments that include a large spectrum of engine and storage options from RDBMS to NoSQL to Hadoop • Take advantage of the Azure Marketplace