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The Road for Enterprise Data
         From Traditional BI to Big Data


          @LynnLangit
  Practioner, Author, Instructor
BI = ‘Current State’ Questions



              • What did we sell?
  Collecting  • When did we sell it?
Transactional
    data      • Where did we sell it?
              • What did we sell with it?
BTW…Do you use Data Mining?
BI Data Landscape

           Storage
           Processing
             Query
          Presentation
Mix-in #1 -- the Cloud and…
• Host Data in the Cloud
• Process & Query Data in the Cloud
  – Click to query and (data) mine
  – Return the data locally
  – Use Self-service BI visualizers
• Mash-up Cloud data
  – Combine with local data
NoSQL and the Cloud
• The Elephant in the room…Hadoop
• Over 120+ types of noSQL databases
  – http://nosql-database.org/
Can’t We All Play Together?
Data in the Cloud - Microsoft
Windows Azure DataMarket
Amazon AWS
Google App Engine Data
New on Google – MySQL++
Comparing RDBMS and MapReduce
  Reference: Tom White’s Hadoop: The Definitive Guide


                           Traditional RDBMS            MapReduce

Data Size                  Gigabytes (Terabytes)        Petabytes (Hexabytes)

Access                     Interactive and Batch        Batch

Updates                    Read / Write many times      Write once, Read many times

Structure                  Static Schema                Dynamic Schema

Integrity                  High (ACID)                  Low

Scaling                    Nonlinear                    Linear

DBA Ratio                  1:40                         1:3000
BTW…NoSQL is 50x CHEAPER
BigData = ‘Next State’ Questions



             • What could happen?
Collecting   • Why didn’t this happen?
             • When will the next new thing
behavioral     happen?
  data       • What will the next new thing
               be?
Splunk
Mining Log Files
Presenting the results
Freebase
Mix-in #2 - Data Scientists




• Who asks the ‘right’ questions now?
• Who understands the languages?
• Who can understand the results?
Is Data Science your next Career?
Becoming a Data Scientist
• Conferences
  – Strata
  – Data Scientist
    Summit
  – CloudCamps
• Practice
  – here
Mix-in #3 - Presentation




• New Devices – iPad, Kindle Fire
• New User Experiences – touch, Kinect
• EVERYTHING on the phone
HortonWorks, Cloudera…
Karmasphere Studio
for Amazon Elastic MapReduce
More PowerPivot
Cloud-based Data Mining
Predixion
QlikView
QlikView on iPad
BI >BigData ‘To Do List
Store some (more) data on the cloud
• Relational and non-relational
• Transaction AND Behavioral
Process some data in the cloud
• Try data mining
• Learn about Data Science
Update your client tools
• New UI (touch, gestures)
• Click to Query
• New form factors (phone, tablet)
Hadoop Connector to Excel - Demo
www.TeachingKidsProgramming.org
• Do a Recipe  Teach a Kid (Ages 10 ++)
• Microsoft SmallBasic  Free Courseware (recipes)
Keep up with Big Data

             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 BI

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The Road for Enterprise Data From Traditional BI to Big Data

Notas do Editor

  1. How to Get There from Here: The Road to Enterprise DataLynn Langit (Teaching Kids Programming)Wednesday, 12/07/2011How will companies familiar with BI and SQL gradually embrace unstructured data and noSQL models? Will this be through a “layer” of SQL emulation? Through an Excel plug-in that generates Hadoop workloads? A rethinking on the part of database vendors? Or something else entirely?In this session, cloud and data expert Lynn Langit explores the roadmap to Big Data adoption by traditional enterprise IT and corporate software developers.
  2. http://hadoop.apache.org/ & http://www.mongodb.org/
  3. http://www.microsoft.com/download/en/details.aspx?id=27584http://www.oracle.com/us/corporate/features/feature-oracle-loader-for-hadoop-505115.html
  4. http://windows.azure.com
  5. https://datamarket.azure.com/
  6. http://aws.amazon.com/
  7. http://code.google.com/appengine/http://code.google.com/appengine/articles/datastore/overview.html
  8. http://code.google.com
  9. http://lynnlangit.wordpress.com/2011/11/09/relational-cloud-storage-is-50x-more-expensive-than-nosql/
  10. http://www.splunk.com/product
  11. http://www.freebase.com/
  12. http://www.romymisra.com/the-new-job-market-rulers-data-scientists/
  13. http://www.quora.com/Career-Advice/How-do-I-become-a-data-scientistSlide from- http://www.huffingtonpost.com/roger-ehrenberg/data-driven-startup_b_1088124.html?ref=tw
  14. http://www.web-designers-directory.org/articles/top-rated-android-applications-for-2011-20.html
  15. http://hortonworks.com/technology/hortonworksdataplatform/http://www.cloudera.com/
  16. http://www.youtube.com/watch?v=gjsMDAcI1Mo
  17. http://www.predixionsoftware.com/predixion/
  18. http://www.qlikview.com/us
  19. http://dennyglee.com/
  20. From the blog - http://www.thisisthegreenroom.com/2011/data-science-vs-business-intelligence/
  21. Lynn