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Big data webinar may23 nrit by sunil

  1. 1. NRIT Intelligent Solutions for Enterpris – US, India, Australia –
  2. 2. Sunil Sabat- sabat@nritinc.com Practioner, Advisor,Consultant BI/Big Data Insights Ref: Jan 2012- for SoCalCodeCamp
  3. 3. Today’s Agenda  Introduction to NRIT  New BI Landscape  Big Data, No SQL, Hadoop  Big Data Providers  Big Data Tools  Data Science and Analysis  NRIT and Big Data  Big Data Bootcamp  Conclusion
  4. 4. NRIT at a glance  Established in 1998, NRIT is a Business Intelligence and Data Warehousing Company.  NRIT has onshore development site in Los Angels, New Jersey with offshore development in Bangalore India.  NRIT BI solutions have helped companies realize high ROI by understanding their needs and provide technical expertise of its employees.  NRIT is focused on improving business performance by exploiting streamlined best practices and continued investments in technology.  NRIT is committed to adhering to well-established international standards (ISO 9001:2000 and SEI/CMM) and processes in all its delivered information system solutions 14+ years of innovation in Business Intelligence
  5. 5. Global Foot print
  6. 6. All your BI needs under one roof Data Warehousing/ Marts Reporting (OLAP) Predictive Analytics Datacenter and ITSM  IBM Cognos  Informatica  Data Stage  Microsoft SSIS  SAP BW  Hbase, No SQL  IBM Cognos  Microsoft SSRS / SSAS  SAP Business Objects  Oracle OBIEE  Cognos Planning  Cognos TM1  SAS tools  SPSS  Statistical Analysis  Green datacenters  Data security  Data storage  ITSM practice  Build complex data warehouses  Data Cleansing and Profiling  ETL Development  Development of Marketing, Sales, Finance etc Data Marts  Strong Oracle, SQL Server database experience  Dimensional modeling  Reporting and Dash- boarding  Alerting & exception reporting  Performance tuning  Budgeting & Forecasting solutions  Cognos Enterprise Planning  Predictive modeling and scoring  Budgeting and Forecasting  Marketing Analytics  Customer Analytics  Delinquency Management  Churn Analysis  Risk Analysis  Big Data Modeling  Planning and Implementation  Integration  Analytics and Visualization  Support  Maintenance  Bootcamp training
  7. 7. Current State BI Questions Why did this happen? When did this happen? Where did this happen? Who is responsible? What might happen to this one value in the future? Can you write me a report for…?
  8. 8. BigData = ‘Next State’ BI Questions • What could happen? • Why didn’t this happen? • When will the next new thing happen? • What will the next new thing be? • What should happen? Collecting behavioral temporal data
  9. 9. Comparing old and new BI data Old BI data New BI data 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 Reference: Tom White’s Hadoop: The Definitive Guide
  10. 10. Hadoop -- HortonWorks, Cloudera…
  11. 11. BI Data Landscape Storage Processing Query Presentation
  12. 12. NoSQL and Cloud-based BI  The Elephant in the room…Hadoop  Over 120+ types of noSQL databases  http://nosql-database.org/
  13. 13. Oracle Loader for Hadoop
  14. 14. SQL Server Connector for Hadoop
  15. 15. Hadoop on Azure
  16. 16. Amazon AWS
  17. 17. Google App Engine Data
  18. 18. Google – MySQL & Cloud Storage
  19. 19. BTW…NoSQL is 50x CHEAPER  Why?  Open source origin and momentum, VC influence  With a mission i.e make cluster of commodity hardware/storage scale for particular use I. Node.js for graph database II. Mongodb for general schema free data III. Cassandra on pure java cluster IV. CouchDB for general document management  Relational can not match and is overpriced!
  20. 20. Big Data Example – Mining Log Files
  21. 21. Data Science
  22. 22. Deeper Comparison Chart
  23. 23. Some BI Query Languages Microsoft • MDX, DMX, T-SQL, DAX, XMLA -- data • Infer.Net --programmer Open Source • R, Hive (SQL-like) –data • HQL, GQL, MQL – specialized data • MapReduce (Java) --programmer
  24. 24. R-Language
  25. 25. Karmasphere Studio for Amazon Elastic MapReduce
  26. 26. Hadoop Connector to Excel
  27. 27. BI >BigData ‘To Do List Store some (more) data on the cloud • Relational and non-relational 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)
  28. 28. NRIT and BIG DATA BI
  29. 29. NRIT Big Data Architecture
  30. 30. NRIT and Big Data Bootcamp  NRIT offers 3 day bootcamp training  Learn Big Query, MapReduce, R Programming and MapR hadoop  Get trained on valuable skills by demonstrations and hands-on labs  Hadoop is being used by most of fortune 500 companies now, latest examples are Ford Motor, AOL etc.  Lot to be achieved - Hadoop train just started, so get trained now  Investment in Hadoop yields huge value  So, let NRIT be your partner on your journey with Big Data/BI analytics, let’s ride the train together
  31. 31. THANK YOU Contact us – sabat@nritinc.com sujit@nritinc.com Phone: 818-878-0834 www.nritinc.com

Notes de l'éditeur

  • Presentation: BI/Big Data Futures - Is it really all about the Cloud?In this survey session, SKS will bring you up-to-date on what's happening in the world of enterprise Business Intelligence.  BigData, NoSQL, Hadoop, Big Analytics, Cloud Storage, what does all of this mean to you as a data professional?  Which products and technologies are mature enough for enterprise adoption and which ones are not?  Which vendors should you be trying out and why? What is the reality of hosting enterprise data on the cloud? What are the business reasons to explore these new technologies?  How do you learn to implement them?SKS frames this talk with the three major trends that she sees in the Enterprise BI space, highlighting products and technologies that warrant a deeper look.  
  • http://hortonworks.com/technology/hortonworksdataplatform/http://www.cloudera.com/
  • http://hadoop.apache.org/ & http://www.mongodb.org/
  • http://www.oracle.com/technetwork/bdc/hadoop-loader/overview/index.html
  • http://www.microsoft.com/download/en/details.aspx?id=27584
  • https://www.hadooponazure.com/Account
  • http://aws.amazon.com/
  • http://code.google.com/appengine/http://code.google.com/appengine/articles/datastore/overview.html
  • http://code.google.com
  • http://SKSlangit.wordpress.com/2011/11/09/relational-cloud-storage-is-50x-more-expensive-than-nosql/
  • http://www.romymisra.com/the-new-job-market-rulers-data-scientists/
  • From the blog - http://www.thisisthegreenroom.com/2011/data-science-vs-business-intelligence/
  • Part of Microsoft's Hadoop efforts include an ODBC driver for Hive, the Hadoop query engine, which will provide “direct realtime querying from business intelligence tools into Hadoop,” Leland said. The Azure Hadoop service and the Hive ODBC driver will be available in preview before the end of 2011, with a community technology preview for Hadoop on Windows Server arriving next year.
  • http://www.r-project.org/
  • http://www.youtube.com/watch?v=gjsMDAcI1Mo
  • http://dennyglee.com/