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Building Tools for the Hadoop Developer. m att winkler @ mwinkle. Making Hadoop easy to provision, secure, manage and use. Single Node Developer Environment. Windows Azure. Parallel Data Warehouse Appliance. Windows Server. Building Developer Tools. Authoring Jobs.
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Building Tools for the Hadoop Developer matt winkler @mwinkle
Making Hadoop easy to provision, secure, manage and use Single Node Developer Environment Windows Azure Parallel Data Warehouse Appliance Windows Server
Building Developer Tools Authoring Jobs App Integration End User Tooling (IDE’s, Analyst tools, Command lines) Breadth of Clients (Java, JS, .NET, etc) • Innovation flows upward • New compute models • Perf enhancements • Lightweight • Low cost to extend • Scenario oriented Connectivity Programmability Security Loosely coupled Extend breadth & depth Enable new scenarios Integrate with current tool chains Consistent REST API’s Core Hadoop Authoring frameworks and languages
Existing Ecosystem • Actively contributing to: • Core • Pig • Hive • HCatalog • Branching to other projects • Simple one-box developer install on Windows
.NET • Map/Reduce • LINQ to Hive • Client API’s • WebHCat • Ambari • WebHDFS • Azure • Visual Studio Tooling • Local debugging support
JavaScript • MRjs – Map/Reduce in JavaScript • Node.js client API’s • WebHCat • WebHDFS • Ambari • Azure
Management Management Portal • UI Tooling • Cluster usage • Job authoring • Result consumption in common tools • PowerShell & Cross platform scripting • API Surface • RDFE – Azure provisioning • Ambari – Cluster monitoring • WebHCatalog – Metadata and job submission • WebHDFS, Blob Storage – Storage >_ Scripting (Windows, Linux and Mac) REST API
Sources • http://hadoopsdk.codeplex.com • http://www.github.com/windowsazure • NuGet packages • Microsoft.Hadoop.MapReduce • Microsoft.Hadoop.Hive • Microsoft.Hadoop.WebHDFS => WebClient • NPM packages • Azure • Azure-cli • Hadoop REST clients pending… open
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