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About Data Explorer
 

About Data Explorer

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Deck for my presentation to SQL Pass Virtual BI chapter April 2012

Deck for my presentation to SQL Pass Virtual BI chapter April 2012

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  • http://www.microsoft.com/en-us/sqlazurelabs/labs/dataexplorer.aspx
  • Main site link - http://www.microsoft.com/en-us/sqlazurelabs/labs/dataexplorer.aspxDesktop client download - http://www.microsoft.com/download/en/details.aspx?id=28349Request to sign up for the cloud-service - https://dataexplorer-signup.sqlazurelabs.com/
  • Blog on how to consume data from Windows Azure Data Market –http://oakleafblog.blogspot.com/2011/12/mashup-big-data-with-microsoft-codename.html
  • http://msdn.microsoft.com/en-us/hh582305
  • Example of doing column-based lookup - http://msdn.microsoft.com/en-us/hh667440Example of de-duplication - http://msdn.microsoft.com/en-us/hh667339Example of merge - http://msdn.microsoft.com/en-us/hh667441
  • From MSDN - http://blogs.msdn.com/b/dataexplorer/archive/2011/11/17/the-data-explorer-formula-language.aspxDownload the language specification from here - http://msdn.microsoft.com/en-us/hh582305
  • As feeds in VS - http://blogs.msdn.com/b/dataexplorer/archive/2012/03/07/consuming-data-explorer-published-data-feeds-in-visual-studio-primer-part-2-consuming-an-authenticated-feed.aspx
  • Team blog - http://blogs.msdn.com/b/dataexplorer/How to videos - http://msdn.microsoft.com/en-us/hh582305My blog on Data Explorer - http://lynnlangit.wordpress.com/2011/12/10/exploring-microsoft-data-explorer/
  • http://www.monafoundation.org/project/Teaching-Kids-Programming/22
  • For more classes from DevelopMentor www.Develop.com

About Data Explorer About Data Explorer Presentation Transcript

  • Microsoft Data Explorer Toward Data Craftsmanship @LynnLangit April 2012 for SQL PASS Virtual BI Chapter
  • What we’ll cover What is Data Explorer Why use Data Explorer How to get Data Explorer How to create a Mashup How to work with Mashups
  • What and Why of Data Explorer• Lightweight ETL tool to create data Mashups• Designed to be used by subject matter experts• Local (desktop) –or- Cloud-hosted Discover Enrich Publish
  • How do I get Data Explorer?• Download and use the Desktop Client – here• Use the cloud-based service – request here
  • DemoGetting Data Explorer
  • Cloud-interface
  • Mashup Creation ProcessSelect Data Source Type & ConnectView Data from Data SourceManipulate Data(Optional) add other Data Sources and DataCombine (join) dataManipulate DataPublish Mashup
  • Getting started• Create a named Mashup• Pick Data Sources to connect to…
  • DemoConnecting to Data Sourceswith Data Explorer
  • About connecting to Data Sources• From SharePoint Online - here• from Windows Azure Data Market - here
  • Connecting vis Importing Data• Simple to complex…
  • Working with the samples
  • Working with your Data• Edit or Show Statistics
  • DemoManipulating Datawith Data Explorer
  • More Data Editing Tools• Smart editing tools• Context-sensitive• Operations – Merge (Join) • Multiple data sources – Lookup – De-duplicate
  • Merging Data Sources
  • Data Explorer Function Language• Right click on sheet tab (bottom) > ‘View Formulas’• Specifications available • Language (Library) • Formulas
  • Working with the Mashup Results• Arrange -> by folder, user, date or source• Use -> edit, make a copy or ‘extend’ (live copy)• More -> import or ‘make snapshot’ (stored copy)• Save -> Publish
  • DemoPublishing / Consuming Mashupswith Data Explorer
  • Publishing Mashups (From Cloud only)
  • Creating snapshots
  • Consuming Mashups• From Excel• From PowerPivot• As Authenticated Feeds in Visual Studio – here – All tables must have PKs – Feed must be set to unauthenticated access – Data types must be compatible with VS
  • Learn More• Data Explorer – team blog – here• ‘How-to’ videos – here• My blog on DE - here
  • TeachingKidsProgramming.orgDo a Recipe  Teach a Kid (Ages 10 ++)Microsoft SmallBasic  Free Courseware (recipes)
  • Keep up with BigData Follow me @LynnLangit RSS my blog www.LynnLangit.com Hire me •To help build your BI/Big Data solution •To teach your team next gen data solution