Big DataENTERPRISEY Analytics       and      RUBY                    1 | RUBY CONF 2011 | Sept-29 | Public
Big DataENTERPRISEY Analytics       and      RUBY                    2 | RUBY CONF 2011 | Sept-29 | Public
3 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise                         4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The EnterpriseDISTRIBUTE                               4 | RUBY CONF 2011 | Sept-29 | Public
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER                                     4 | RUBY CONF 2011 | Sept-29 | ...
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER                                     4 | RUBY CONF 2011 | Sept-29 | ...
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER            AUTOMATED TESTING                                     4 ...
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER            AUTOMATED TESTING                                     4 ...
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER            AUTOMATED TESTING                                     4 ...
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER            AUTOMATED TESTING                                     4 ...
Ruby in The Enterprise   DISTRIBUTEINTERNAL GEM SERVER            AUTOMATED TESTING                                     4 ...
5 | RUBY CONF 2011 | Sept-29 | Public
ANALYTICS tool for Healthcare System                              5 | RUBY CONF 2011 | Sept-29 | Public
Design Philosophy I                      6 | RUBY CONF 2011 | Sept-29 | Public
Design Philosophy I                      6 | RUBY CONF 2011 | Sept-29 | Public
Design Philosophy II                       7 | RUBY CONF 2011 | Sept-29 | Public
Design Philosophy III                        8 | RUBY CONF 2011 | Sept-29 | Public
Design Philosophy IV                   9 | RUBY CONF 2011 | Sept-29 | Public
Design Philosophy V                      10 | RUBY CONF 2011 | Sept-29 | Public
Multi-Dimensional Hierarchical Data                               | RUBY CONF 2011 | Sept-29 | Public
Open Source              12 | RUBY CONF 2011 | Sept-29 | Public
ENTERPRISE             13 | RUBY CONF 2011 | Sept-29 | Public
ENTERPRISE             14 | RUBY CONF 2011 | Sept-29 | Public
Data Architecture                    15 | RUBY CONF 2011 | Sept-29 | Public
Data Architecture - Step I                            Data Processing  SUS and other Data Sets                            ...
Data Architecture - Step II              “Kimberly Style”         Dimensional Data Warehouse                              ...
Data Architecture - Step II              “Kimberly Style”         Dimensional Data Warehouse                              ...
Data Architecture - Step IIIApplication Specific    Data Marts                           18 | RUBY CONF 2011 | Sept-29 | P...
Data Architecture - Step IIIApplication Specific    Data Marts                           18 | RUBY CONF 2011 | Sept-29 | P...
DATA FLOW MAPPING                19 | RUBY CONF 2011 | Sept-29 | Public
DATA FLOW MAPPING                20 | RUBY CONF 2011 | Sept-29 | Public
DATA FLOW MAPPING                21 | RUBY CONF 2011 | Sept-29 | Public
DATA FLOW MAPPING                22 | RUBY CONF 2011 | Sept-29 | Public
DATA FLOW MAPPING                23 | RUBY CONF 2011 | Sept-29 | Public
Chart Types              24 | RUBY CONF 2011 | Sept-29 | Public
Chart Types              24 | RUBY CONF 2011 | Sept-29 | Public
Charting Library                   25 | RUBY CONF 2011 | Sept-29 | Public
Charting Library•   Flash, Silverlight etc are not the only option                                                     25 ...
Charting Library•   Flash, Silverlight etc are not the only option•   Web based standards for building high quality charts...
Charting Library•   Flash, Silverlight etc are not the only option•   Web based standards for building high quality charts...
Charting Library•   Flash, Silverlight etc are not the only option•   Web based standards for building high quality charts...
Charting Library•   Flash, Silverlight etc are not the only option•   Web based standards for building high quality charts...
Extending Charting Libraries                         26 | RUBY CONF 2011 | Sept-29 | Public
Extending Charting LibrariesExtension of Infovis                       https://github.com/toamitkumar/org_chart           ...
Extending Charting LibrariesExtension of HighCharts                     https://github.com/toamitkumar/waterfall-charts   ...
Extending Charting Libraries               Extension of HighChartshttps://github.com/toamitkumar/Stacked-Waterfall/tree/ma...
Configurable Charts                     29 | RUBY CONF 2011 | Sept-29 | Public
Configurable Charts                     30 | RUBY CONF 2011 | Sept-29 | Public
Configurable Charts   Chart Attributes                      31 | RUBY CONF 2011 | Sept-29 | Public
Configurable Charts   Chart Attributes          Dimension for x-axis                                 31 | RUBY CONF 2011 | ...
Configurable Charts   Chart Attributes          Dimension for x-axis          Dimension for y-axis                         ...
Configurable Charts   Chart Attributes          Dimension for x-axis          Dimension for y-axis          Filters for x-a...
Configurable Charts   Chart Attributes          Dimension for x-axis          Dimension for y-axis          Filters for x-a...
Configurable Charts   Chart Attributes          Dimension for x-axis          Dimension for y-axis          Filters for x-a...
Configurable Charts   Chart Attributes          Dimension for x-axis          Dimension for y-axis          Filters for x-a...
Configurable ChartsSQL or MDX                     32 | RUBY CONF 2011 | Sept-29 | Public
MSAS XMLA INTERFACE                  33 | RUBY CONF 2011 | Sept-29 | Public
MSAS XMLA INTERFACE                  33 | RUBY CONF 2011 | Sept-29 | Public
Ruby + OLAP CUBES                    34 | RUBY CONF 2011 | Sept-29 | Public
Ruby + OLAP CUBES                    35 | RUBY CONF 2011 | Sept-29 | Public
RUBY + SSAS XMLA Interface                       36 | RUBY CONF 2011 | Sept-29 | Public
RUBY + SSAS XMLA Interface•   JSON output                       36 | RUBY CONF 2011 | Sept-29 | Public
RUBY + SSAS XMLA Interface•   JSON output•   Easy integration with Chart Definition Language                               ...
RUBY + SSAS XMLA Interface•   JSON output•   Easy integration with Chart Definition Language•   No MDX validation          ...
Listing Cubes                37 | RUBY CONF 2011 | Sept-29 | Public
Listing Cubes                37 | RUBY CONF 2011 | Sept-29 | Public
SOAP request : listing cubes              Listing CUBES                          38 | RUBY CONF 2011 | Sept-29 | Public
SOAP request : listing cubes              Listing CUBES                          38 | RUBY CONF 2011 | Sept-29 | Public
SOAP request : listing cubes              Listing CUBES                          38 | RUBY CONF 2011 | Sept-29 | Public
SOAP request : listing cubes              Listing CUBES                          38 | RUBY CONF 2011 | Sept-29 | Public
Execute MDX              39 | RUBY CONF 2011 | Sept-29 | Public
Execute MDX              39 | RUBY CONF 2011 | Sept-29 | Public
SOAP request: Execute MDX             Execute MDX                      40 | RUBY CONF 2011 | Sept-29 | Public
SOAP request: Execute MDX             Execute MDX                      40 | RUBY CONF 2011 | Sept-29 | Public
SOAP request: Execute MDX             Execute MDX                      40 | RUBY CONF 2011 | Sept-29 | Public
asxmla4r           41 | RUBY CONF 2011 | Sept-29 | Public
asxmla4r           41 | RUBY CONF 2011 | Sept-29 | Public
Analytics and UX                   42 | RUBY CONF 2011 | Sept-29 | Public
Analytics and UX•   Power v/s Normal users                               42 | RUBY CONF 2011 | Sept-29 | Public
Analytics and UX•   Power v/s Normal users•   Data focussed                               42 | RUBY CONF 2011 | Sept-29 | ...
Analytics and UX•   Power v/s Normal users•   Data focussed•   Pareto Principle in context of UI: 20% of the functionality...
Analytics and UX•   Power v/s Normal users•   Data focussed•   Pareto Principle in context of UI: 20% of the functionality...
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALL                43 | RUBY CONF 2011 | Sept-29 | Public
Build for ALLIE6, IE7, IE8, IE9, IE10                           43 | RUBY CONF 2011 | Sept-29 | Public
Amit KumarTATA Consultancy Services Limited                                    | RUBY CONF 2011 | Sept-29 | Public
Amit Kumar                TATA Consultancy Services Limited•   @toamit•   github.com/toamitkumar•   rubyizednrailified.blog...
THANKS!
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Ruby conf'11

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  • \n
  • Next slide --> must be wondering why I have put emphasis on the word Enterprise\n
  • Next slide --> ruby in enterprise\nBefore we dive deep into the session, let me introduce the penetration of Ruby in the Enterprise.\nWe have been doing Ruby work for more than 4 years now.\n\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> So, coming back. The rest of the session would be focussed on our journey building an Analytics application for healthcare system and how we used Ruby to solve this problem.\n
  • Next Slide --> We had few design philosophies. The first one is simplicity\n
  • Next Slide --> We had few design philosophies. The first one is simplicity\n
  • Next Slide --> We had few design philosophies. The first one is simplicity\n
  • Next --> portability\n
  • Next --> security\n
  • Next --> consistency\n\n
  • The consistency in interface design is very important. For analytics appln, there are other irregularities which has to be taken care:\n     - Consistent unit of data\n     - Data format\n     - Abbreviations should have clear meaning\n\nNext --> scalability\n
  • Next --> multi-dimensional data\n
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  • Next slide --> Lets me share how we built the data platform.\n
  • 3 step process to build the platform\nNext --> scalability\n
  • - Massaging, cleaning and aggregating raw data from various sources which are parked on raw staging tables.\n\n
  • - Build Kimberley Style Dimensional Data Warehouse\n\n
  • - Build application specific tables and olap cubes which were consumes for analytics\n- tables were flattened materialized views\n- cubes for analytics in the appln\n- due to security we had to make sure data is scedure which meant we have to segregate the aggregated and patient level data\n- in the upcoming slide I will show how data flows from source to application tier\nNext --> data mapping\n
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  • - safe haven for data\nLinking -- Sets of data from which the identifiable data has been separated and a ‘key’ added so that the data can be re-connected with its identifiers\nPseudonymisation -- replacing the patient identifiable components with pseudonyms so data processing can happen\n\n
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  • Let us move on to something more interesting. Solving the problem building interactive charts using this dimensional data.\nNext --> Chart Types\n
  • \n
  • The most popular data visualization JS libraries in this space are: highcharts, jqplot, graphael, infovis, protoviz, google charts, timeplot etc.\n\nThe most important criteria for selecting any library was its portability across multiple platforms and browsers. We narrowed down on highcharts which satisfies all the kind of charts that our appln demands. We also used Inforviz's Spacetree to build organization hierarchical chart.\n\nThe kind of data visualization requirement we had required us to extend the libraries.\nThe first in the list is Org chart which is an extension of Spacetree api of Infovis\n\n
  • The most popular data visualization JS libraries in this space are: highcharts, jqplot, graphael, infovis, protoviz, google charts, timeplot etc.\n\nThe most important criteria for selecting any library was its portability across multiple platforms and browsers. We narrowed down on highcharts which satisfies all the kind of charts that our appln demands. We also used Inforviz's Spacetree to build organization hierarchical chart.\n\nThe kind of data visualization requirement we had required us to extend the libraries.\nThe first in the list is Org chart which is an extension of Spacetree api of Infovis\n\n
  • The most popular data visualization JS libraries in this space are: highcharts, jqplot, graphael, infovis, protoviz, google charts, timeplot etc.\n\nThe most important criteria for selecting any library was its portability across multiple platforms and browsers. We narrowed down on highcharts which satisfies all the kind of charts that our appln demands. We also used Inforviz's Spacetree to build organization hierarchical chart.\n\nThe kind of data visualization requirement we had required us to extend the libraries.\nThe first in the list is Org chart which is an extension of Spacetree api of Infovis\n\n
  • The most popular data visualization JS libraries in this space are: highcharts, jqplot, graphael, infovis, protoviz, google charts, timeplot etc.\n\nThe most important criteria for selecting any library was its portability across multiple platforms and browsers. We narrowed down on highcharts which satisfies all the kind of charts that our appln demands. We also used Inforviz's Spacetree to build organization hierarchical chart.\n\nThe kind of data visualization requirement we had required us to extend the libraries.\nThe first in the list is Org chart which is an extension of Spacetree api of Infovis\n\n
  • The most popular data visualization JS libraries in this space are: highcharts, jqplot, graphael, infovis, protoviz, google charts, timeplot etc.\n\nThe most important criteria for selecting any library was its portability across multiple platforms and browsers. We narrowed down on highcharts which satisfies all the kind of charts that our appln demands. We also used Inforviz's Spacetree to build organization hierarchical chart.\n\nThe kind of data visualization requirement we had required us to extend the libraries.\nThe first in the list is Org chart which is an extension of Spacetree api of Infovis\n\n
  • \n
  • \n
  • Next --> Configurable charts\nThe business problem was to simplify the chart creation process. It should be possible to do a new custom chart with arbitrary dimensions (given an existing cube / table of date in the DW) and add it to the app with a few hours work.\n
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  • \n
  • \n
  • \n
  • \n
  • \n
  • So, few hours of chart configuration by power users would enable data visualization in different kind of chart.\n\nThe only problem left here to solve was communication between ruby and OLAP cubes in MS SQL Server AS.\n\n
  • SQL Server Analysis Servies exposes XMLA interface to communicate to OLAP Cubes.\nFor consuming cube data from SQL Server Analysis Services into our ruby application we had 2 choices. \n
  • Use existing libraries like olap4j which sits as a service between our app and Analysis Services. This would have meant, we would have bite the bullet of porting the app to JRuby \n
  • Build the ruby xmla interface ourselves, kind of olap4r\n\nNext slide --> Some principles we kept in mind while designing the XMLA interface in ruby\n
  • - the library should output data in JSON format for the charting library to consume\n- It should be agnostic to XMLA interface\n- Data security because cubes had dimensional data\n- MDX is pretty complex language. Stay away from becoming mdx validation.  \n\nNext Slide --> In the following slides we would see some code samples explaining the communication between AS and Ruby.\n
  • - the library should output data in JSON format for the charting library to consume\n- It should be agnostic to XMLA interface\n- Data security because cubes had dimensional data\n- MDX is pretty complex language. Stay away from becoming mdx validation.  \n\nNext Slide --> In the following slides we would see some code samples explaining the communication between AS and Ruby.\n
  • - the library should output data in JSON format for the charting library to consume\n- It should be agnostic to XMLA interface\n- Data security because cubes had dimensional data\n- MDX is pretty complex language. Stay away from becoming mdx validation.  \n\nNext Slide --> In the following slides we would see some code samples explaining the communication between AS and Ruby.\n
  • \n
  • - discover method\n- request type (mdsschema_cubes)\n
  • - discover method\n- request type (mdsschema_cubes)\n
  • - discover method\n- request type (mdsschema_cubes)\n
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  • Keep in mind Pareto Principle - 80/20. Pareto Principle in the context of UI basically says 20% of functionality is used 80% of the time.\n
  • Keep in mind Pareto Principle - 80/20. Pareto Principle in the context of UI basically says 20% of functionality is used 80% of the time.\n
  • Keep in mind Pareto Principle - 80/20. Pareto Principle in the context of UI basically says 20% of functionality is used 80% of the time.\n
  • Keep in mind Pareto Principle - 80/20. Pareto Principle in the context of UI basically says 20% of functionality is used 80% of the time.\n
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  • Ruby conf'11

    1. Big DataENTERPRISEY Analytics and RUBY 1 | RUBY CONF 2011 | Sept-29 | Public
    2. Big DataENTERPRISEY Analytics and RUBY 2 | RUBY CONF 2011 | Sept-29 | Public
    3. 3 | RUBY CONF 2011 | Sept-29 | Public
    4. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    5. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    6. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    7. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    8. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    9. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    10. Ruby in The Enterprise 4 | RUBY CONF 2011 | Sept-29 | Public
    11. Ruby in The EnterpriseDISTRIBUTE 4 | RUBY CONF 2011 | Sept-29 | Public
    12. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER 4 | RUBY CONF 2011 | Sept-29 | Public
    13. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER 4 | RUBY CONF 2011 | Sept-29 | Public
    14. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER AUTOMATED TESTING 4 | RUBY CONF 2011 | Sept-29 | Public
    15. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER AUTOMATED TESTING 4 | RUBY CONF 2011 | Sept-29 | Public
    16. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER AUTOMATED TESTING 4 | RUBY CONF 2011 | Sept-29 | Public
    17. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER AUTOMATED TESTING 4 | RUBY CONF 2011 | Sept-29 | Public
    18. Ruby in The Enterprise DISTRIBUTEINTERNAL GEM SERVER AUTOMATED TESTING 4 | RUBY CONF 2011 | Sept-29 | Public
    19. 5 | RUBY CONF 2011 | Sept-29 | Public
    20. ANALYTICS tool for Healthcare System 5 | RUBY CONF 2011 | Sept-29 | Public
    21. Design Philosophy I 6 | RUBY CONF 2011 | Sept-29 | Public
    22. Design Philosophy I 6 | RUBY CONF 2011 | Sept-29 | Public
    23. Design Philosophy II 7 | RUBY CONF 2011 | Sept-29 | Public
    24. Design Philosophy III 8 | RUBY CONF 2011 | Sept-29 | Public
    25. Design Philosophy IV 9 | RUBY CONF 2011 | Sept-29 | Public
    26. Design Philosophy V 10 | RUBY CONF 2011 | Sept-29 | Public
    27. Multi-Dimensional Hierarchical Data | RUBY CONF 2011 | Sept-29 | Public
    28. Open Source 12 | RUBY CONF 2011 | Sept-29 | Public
    29. ENTERPRISE 13 | RUBY CONF 2011 | Sept-29 | Public
    30. ENTERPRISE 14 | RUBY CONF 2011 | Sept-29 | Public
    31. Data Architecture 15 | RUBY CONF 2011 | Sept-29 | Public
    32. Data Architecture - Step I Data Processing SUS and other Data Sets 16 | RUBY CONF 2011 | Sept-29 | Public
    33. Data Architecture - Step II “Kimberly Style” Dimensional Data Warehouse 17 | RUBY CONF 2011 | Sept-29 | Public
    34. Data Architecture - Step II “Kimberly Style” Dimensional Data Warehouse 17 | RUBY CONF 2011 | Sept-29 | Public
    35. Data Architecture - Step IIIApplication Specific Data Marts 18 | RUBY CONF 2011 | Sept-29 | Public
    36. Data Architecture - Step IIIApplication Specific Data Marts 18 | RUBY CONF 2011 | Sept-29 | Public
    37. DATA FLOW MAPPING 19 | RUBY CONF 2011 | Sept-29 | Public
    38. DATA FLOW MAPPING 20 | RUBY CONF 2011 | Sept-29 | Public
    39. DATA FLOW MAPPING 21 | RUBY CONF 2011 | Sept-29 | Public
    40. DATA FLOW MAPPING 22 | RUBY CONF 2011 | Sept-29 | Public
    41. DATA FLOW MAPPING 23 | RUBY CONF 2011 | Sept-29 | Public
    42. Chart Types 24 | RUBY CONF 2011 | Sept-29 | Public
    43. Chart Types 24 | RUBY CONF 2011 | Sept-29 | Public
    44. Charting Library 25 | RUBY CONF 2011 | Sept-29 | Public
    45. Charting Library• Flash, Silverlight etc are not the only option 25 | RUBY CONF 2011 | Sept-29 | Public
    46. Charting Library• Flash, Silverlight etc are not the only option• Web based standards for building high quality charts 25 | RUBY CONF 2011 | Sept-29 | Public
    47. Charting Library• Flash, Silverlight etc are not the only option• Web based standards for building high quality charts• Should work on multiple platforms including mobile/ipad 25 | RUBY CONF 2011 | Sept-29 | Public
    48. Charting Library• Flash, Silverlight etc are not the only option• Web based standards for building high quality charts• Should work on multiple platforms including mobile/ipad 25 | RUBY CONF 2011 | Sept-29 | Public
    49. Charting Library• Flash, Silverlight etc are not the only option• Web based standards for building high quality charts• Should work on multiple platforms including mobile/ipad 25 | RUBY CONF 2011 | Sept-29 | Public
    50. Extending Charting Libraries 26 | RUBY CONF 2011 | Sept-29 | Public
    51. Extending Charting LibrariesExtension of Infovis https://github.com/toamitkumar/org_chart 26 | RUBY CONF 2011 | Sept-29 | Public
    52. Extending Charting LibrariesExtension of HighCharts https://github.com/toamitkumar/waterfall-charts 27 | RUBY CONF 2011 | Sept-29 | Public
    53. Extending Charting Libraries Extension of HighChartshttps://github.com/toamitkumar/Stacked-Waterfall/tree/master/stacked-waterfall 28 | RUBY CONF 2011 | Sept-29 | Public
    54. Configurable Charts 29 | RUBY CONF 2011 | Sept-29 | Public
    55. Configurable Charts 30 | RUBY CONF 2011 | Sept-29 | Public
    56. Configurable Charts Chart Attributes 31 | RUBY CONF 2011 | Sept-29 | Public
    57. Configurable Charts Chart Attributes Dimension for x-axis 31 | RUBY CONF 2011 | Sept-29 | Public
    58. Configurable Charts Chart Attributes Dimension for x-axis Dimension for y-axis 31 | RUBY CONF 2011 | Sept-29 | Public
    59. Configurable Charts Chart Attributes Dimension for x-axis Dimension for y-axis Filters for x-axis 31 | RUBY CONF 2011 | Sept-29 | Public
    60. Configurable Charts Chart Attributes Dimension for x-axis Dimension for y-axis Filters for x-axis Filters for y-axis 31 | RUBY CONF 2011 | Sept-29 | Public
    61. Configurable Charts Chart Attributes Dimension for x-axis Dimension for y-axis Filters for x-axis Filters for y-axis Data on x-axis 31 | RUBY CONF 2011 | Sept-29 | Public
    62. Configurable Charts Chart Attributes Dimension for x-axis Dimension for y-axis Filters for x-axis Filters for y-axis Data on x-axis Data on y-axis 31 | RUBY CONF 2011 | Sept-29 | Public
    63. Configurable ChartsSQL or MDX 32 | RUBY CONF 2011 | Sept-29 | Public
    64. MSAS XMLA INTERFACE 33 | RUBY CONF 2011 | Sept-29 | Public
    65. MSAS XMLA INTERFACE 33 | RUBY CONF 2011 | Sept-29 | Public
    66. Ruby + OLAP CUBES 34 | RUBY CONF 2011 | Sept-29 | Public
    67. Ruby + OLAP CUBES 35 | RUBY CONF 2011 | Sept-29 | Public
    68. RUBY + SSAS XMLA Interface 36 | RUBY CONF 2011 | Sept-29 | Public
    69. RUBY + SSAS XMLA Interface• JSON output 36 | RUBY CONF 2011 | Sept-29 | Public
    70. RUBY + SSAS XMLA Interface• JSON output• Easy integration with Chart Definition Language 36 | RUBY CONF 2011 | Sept-29 | Public
    71. RUBY + SSAS XMLA Interface• JSON output• Easy integration with Chart Definition Language• No MDX validation 36 | RUBY CONF 2011 | Sept-29 | Public
    72. Listing Cubes 37 | RUBY CONF 2011 | Sept-29 | Public
    73. Listing Cubes 37 | RUBY CONF 2011 | Sept-29 | Public
    74. SOAP request : listing cubes Listing CUBES 38 | RUBY CONF 2011 | Sept-29 | Public
    75. SOAP request : listing cubes Listing CUBES 38 | RUBY CONF 2011 | Sept-29 | Public
    76. SOAP request : listing cubes Listing CUBES 38 | RUBY CONF 2011 | Sept-29 | Public
    77. SOAP request : listing cubes Listing CUBES 38 | RUBY CONF 2011 | Sept-29 | Public
    78. Execute MDX 39 | RUBY CONF 2011 | Sept-29 | Public
    79. Execute MDX 39 | RUBY CONF 2011 | Sept-29 | Public
    80. SOAP request: Execute MDX Execute MDX 40 | RUBY CONF 2011 | Sept-29 | Public
    81. SOAP request: Execute MDX Execute MDX 40 | RUBY CONF 2011 | Sept-29 | Public
    82. SOAP request: Execute MDX Execute MDX 40 | RUBY CONF 2011 | Sept-29 | Public
    83. asxmla4r 41 | RUBY CONF 2011 | Sept-29 | Public
    84. asxmla4r 41 | RUBY CONF 2011 | Sept-29 | Public
    85. Analytics and UX 42 | RUBY CONF 2011 | Sept-29 | Public
    86. Analytics and UX• Power v/s Normal users 42 | RUBY CONF 2011 | Sept-29 | Public
    87. Analytics and UX• Power v/s Normal users• Data focussed 42 | RUBY CONF 2011 | Sept-29 | Public
    88. Analytics and UX• Power v/s Normal users• Data focussed• Pareto Principle in context of UI: 20% of the functionality is used 80% of the time 42 | RUBY CONF 2011 | Sept-29 | Public
    89. Analytics and UX• Power v/s Normal users• Data focussed• Pareto Principle in context of UI: 20% of the functionality is used 80% of the time• Interface design 42 | RUBY CONF 2011 | Sept-29 | Public
    90. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    91. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    92. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    93. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    94. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    95. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    96. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    97. Build for ALL 43 | RUBY CONF 2011 | Sept-29 | Public
    98. Build for ALLIE6, IE7, IE8, IE9, IE10 43 | RUBY CONF 2011 | Sept-29 | Public
    99. Amit KumarTATA Consultancy Services Limited | RUBY CONF 2011 | Sept-29 | Public
    100. Amit Kumar TATA Consultancy Services Limited• @toamit• github.com/toamitkumar• rubyizednrailified.blogspot.com | RUBY CONF 2011 | Sept-29 | Public
    101. THANKS!

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