BUILDING TOOLS FOR THE HADOOP DEVELOPER matt winkler @mwinkle.

BUILDING TOOLS FOR THE HADOOP DEVELOPER

matt winkler@mwinkle

Making Hadoop easy to provision, secure, manage and use

Windows Azure Parallel DataWarehouseAppliance

Windows Server Single NodeDeveloper

Environment

Authoring Jobs App Integration

Building Developer Tools

Core Hadoop

Consistent REST API’s

Breadth of Clients (Java, JS, .NET, etc)

Authoring frameworks and languages

End User Tooling (IDE’s, Analyst tools, Command lines)

ConnectivityProgrammabilitySecurityLoosely coupled

LightweightLow cost to extendScenario oriented

Innovation flows upward

New compute modelsPerf enhancements

Extend breadth & depthEnable new scenariosIntegrate with current tool chains

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

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

Management Portal

>_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

Big Data. Small Data. All Data.

www.microsoft.com/bigdata

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