1. NRIT
Intelligent Solutions for Enterpris
– US, India, Australia –

2. Sunil Sabat- sabat@nritinc.com
Practioner, Advisor,Consultant
BI/Big Data Insights
Ref: Jan 2012- for SoCalCodeCamp

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. 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. Global Foot print

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. 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. 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. 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. Hadoop -- HortonWorks, Cloudera…

11. BI Data Landscape
Storage
Processing
Query
Presentation

12. NoSQL and Cloud-based BI
 The Elephant in the room…Hadoop
 Over 120+ types of noSQL databases
 http://nosql-database.org/

13. Oracle Loader for Hadoop

14. SQL Server Connector for Hadoop

15. Hadoop on Azure

16. Amazon AWS

17. Google App Engine Data

18. Google – MySQL & Cloud Storage

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. Big Data Example – Mining
Log Files

21. Data Science

22. Deeper Comparison
Chart

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. R-Language

25. Karmasphere Studio
for Amazon Elastic MapReduce

26. Hadoop Connector to Excel

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. NRIT and BIG DATA BI

29. NRIT Big Data Architecture

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. THANK YOU
Contact us – sabat@nritinc.com
sujit@nritinc.com
Phone: 818-878-0834
www.nritinc.com