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Emerging trends in BI - Big Data
Jul. 2012 - Girish Viswanathan


The contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed in whole or in part
at any time, to any third party without the prior written consent of Infosys Technologies Limited.

© 2011 Infosys Technologies Limited. All rights reserved. Copyright in the whole and any part of this document belongs to Infosys
Technologies Limited. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole or in part, in any
manner or form, or in any media, without the prior written consent of Infosys Technologies Limited.

                                                                                      Information in this document is updated as of Feb 20, 2010
Table of Contents

 1.   What is Big Data
 2.   How Big data helps
 3.   Capturing its value
 4.   Challenges
What is Big Data


                                      Click
                                  stream data




                                                        Transaction
             Sensor data
                                  Big Data                 data
                                  Volume +
                                  Velocity+
                                  Variety=
                                   Value



                       Location                   Social
                       geo data                 Media data
How Big data helps



                                      Faster Business Decisions


                                    Aggregated Intelligence
                Forecasting




    Real Time
                                       Innovative Business
    Analytics                                Value
                          Storage

                                    Growth of Information Assets
Big data—capturing its value




                           Source - Mckinsey
Challenges

 Big Learning Curve – Paradigm Shift
 Technology Stack is young
 Protecting Privacy
 Addressing increasing real time needs with increasing data volumes and variety
 Leveraging cloud computing for storage and processing
Challenges with leveraging Big data technologies in entire landscape
End



The contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed in whole or in part
at any time, to any third party without the prior written consent of Infosys Technologies Limited.

© 2011 Infosys Technologies Limited. All rights reserved. Copyright in the whole and any part of this document belongs to Infosys
Technologies Limited. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole or in part, in any
manner or form, or in any media, without the prior written consent of Infosys Technologies Limited.

                                                                                      Information in this document is updated as of Feb 20, 2010

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Big datahttps://www.slideshare.net/deepusnath/big-data-13935014/edit?src=slideview#slideshow_edit_form

  • 1. Emerging trends in BI - Big Data Jul. 2012 - Girish Viswanathan The contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed in whole or in part at any time, to any third party without the prior written consent of Infosys Technologies Limited. © 2011 Infosys Technologies Limited. All rights reserved. Copyright in the whole and any part of this document belongs to Infosys Technologies Limited. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole or in part, in any manner or form, or in any media, without the prior written consent of Infosys Technologies Limited. Information in this document is updated as of Feb 20, 2010
  • 2. Table of Contents 1. What is Big Data 2. How Big data helps 3. Capturing its value 4. Challenges
  • 3. What is Big Data Click stream data Transaction Sensor data Big Data data Volume + Velocity+ Variety= Value Location Social geo data Media data
  • 4. How Big data helps Faster Business Decisions Aggregated Intelligence Forecasting Real Time Innovative Business Analytics Value Storage Growth of Information Assets
  • 5. Big data—capturing its value Source - Mckinsey
  • 6. Challenges Big Learning Curve – Paradigm Shift Technology Stack is young Protecting Privacy Addressing increasing real time needs with increasing data volumes and variety Leveraging cloud computing for storage and processing
  • 7. Challenges with leveraging Big data technologies in entire landscape
  • 8. End The contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed in whole or in part at any time, to any third party without the prior written consent of Infosys Technologies Limited. © 2011 Infosys Technologies Limited. All rights reserved. Copyright in the whole and any part of this document belongs to Infosys Technologies Limited. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole or in part, in any manner or form, or in any media, without the prior written consent of Infosys Technologies Limited. Information in this document is updated as of Feb 20, 2010