Presentation by Dr.Thanachart Numnonda, IMC Institute @Thailand Big Data User Group #2, 13 March 2015

1. Big Data on Public Cloud
Assoc. Prof. Dr. Thanachart Numnonda
Executive Director
IMC Institute
13 March 2015

2. 2
“Bัy 2015, 20% of Global 1000 organizations
Will have established a strategic focus on
information infrastructure ”
Gartner

3. 3
Big Data Landscape
Source: Big Data in the Enterprise. When to Use What?

4. 4
Big Data Landscape
Source : http://www.vitria.com/

5. 5

6. 6
NoSQL

7. 7
A scalable fault-tolerant distributed system
for data storage and processing
Completely written in java
Open source & distributed under Apache license
What is Hadoop?

8. 8
Hadoop Environment
Source: Hadoop in Practice; Alex Holmes

9. 9
Major Hadoop Components
Hadoop Distributed File System
(HDFS)
Map/Reduce System

10. 10
Hadoop Distribution
Microsoft Azure

11. 11
Big Data Future Architecture
Sscial Media Images e-mails Crawlers
ERP CRM LOB APPs
Unstructured and Structured Data
Parallel Data Warehouse
Hadoop On
Cloud
Hadoop On
Private
Server
Connectors
S
S
R
S
BI Platform
Familiar End User Tools
Spreadsheet Predictive Analytics
Data Market Place
NoSQL
Petabytes of Data
(Unstructured)
Hundreds of TB of Data
(structured)

12. 12
Issue with Big Data Infrastructure
Large investment
Scalabilty
ROI
Business Cases

13. 13

14. 14Source : http://acloudyplace.com/

15. 15
Big Data on Cloud
Using IaaS to leverage Cloud Vms
Using Big Data as a Services

16. 16
Big Data Services on Cloud
Amazon
Elastic Mapreduce
Microsoft Azure Hadoop

17. 17
Big Data as a Service

18. 18

19. 19
Database as a Service
Amazon RDS
IBM SQL Database for Bluemix
Microsoft SQL Database
Google CloudSQL

20. 20
NoSQL as a Service
Amazon DynomoDB
Google Cloud DataStore
Microsoft Azure DocumentDB
Cloudant on IBM Bluemix.
Mongo DB on Heroku

21. 21
Hadoop as a Service
Amazon Elastic Map Reduce
Rackspace Cloud Big Data Platform
Qubole
Google Cloud Platform
IBM Bluemix: Analytic on Hadoop
Microsoft Azure HDInsight

22. 22

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24. 24
Big Data on Amazon EMR

25. 25

26. 26

27. 27

28. 28
Big Data on Cloud Roadmap
Step 1: Build the business case
Step 2: Assess your Big Data application
workloads
Step 3: Develop a technical approach for
deploying and managing Big Data in the cloud
Step 4: Address governance, security, privacy,
risk,
Step 5: Deploy, integrate, and operationalize
your cloud-based Big Data infrastructure
Source : Deploying Big Data Analytics Applications to the Cloud: Roadmap for Success: CSCS

29. 29
Access your application workloads
Big-data storage
Big-data processing
Big-data development
Source : Deploying Big Data Analytics Applications to the Cloud: Roadmap for Success: CSCS

30. 30
Sample applications
Enterprise applications already hosted in the
cloud
High-volume external data sources that
require considerable preprocessing
Tactical applications beyond your on-
premises, Big Data capabilities
Elastic provisioning of very large but short-
lived analytic sandboxes
Source : Deploying Big Data Analytics Applications to the Cloud: Roadmap for Success: CSCS

31. 31
Demo

32. 32
Amazon DynomoDB

33. 33
Google BigQuery

34. 34
Hadoop on Google

35. 35
Amazon EMR

36. 36
www.facebook.com/imcinstitute

37. 37
Thank you
thanachart@imcinstitute.com
www.facebook.com/imcinstitute
www.slideshare.net/imcinstitute
www.thanachart.org