The document discusses using data virtualization and cloud computing to accelerate analytics. It describes challenges with an on-premises data warehouse like slow scaling. The solution uses AWS services like S3, Redshift, and data virtualization to provide a scalable, efficient architecture. Data virtualization creates a single view of data across sources and tools for security, consistency, and rapid prototyping of analytics before moving to production.

2. DATA VIRTUALIZATION IN THE
CLOUD – ACCELERATING TIME-TO-
VALUE
2
Avinash Deshpande
Principal, Big data and Advanced Analytics

3. 3
Journey to Cloud
Cloud empowers IT organizations to redefine the way data
services are produced and delivered for Analytics.
▪ more scalable … can reconfigure larger cluster in an hour
▪ more efficient
‒ can turn off over the weekend
‒ can clone prod for UAT and drop when done
▪ more reliable
‒ AWS automatically does 90% of what our DBAs did

4. 4
Challenges of traditional warehouse
On Premises Data Warehouse could no longer be extended
to effectively address our evolving business needs:
▪ Growing too fast for Exadata
‒ smallest increase in any resource is a quarter rack
▪ Difficult to set up and tune performance
▪ Difficult to manage usage
‒ Resources usage over time
‒ Queries … impact of each team, process

5. 5
Solution Architecture
AWS Glacier
ERP
POS
JSON
AWS
S3
AWS
Redshift
Tableau
Pentaho BA
Data Interfaces
Web Services
Denodo
Pentaho DI
MDM
Pentaho Operations Mart
RDS
Mysql
postgres
AWS - EC2DRM
SFDC GitHub
Cloudwatch
SNS
IAM Cloudtrail

6. 6
DATA VIRTUALIZATION
▪ Business Layer
‒ Keep the business from trolling through the backend database
‒ Data Consistency through single object, multiple consumers
▪ Security thru Data Virtualization rather than every tool
‒ Hard to keep security in synch across multiple analytic tools
▪ Rapid Prototyping
‒ Add new data source in DV layer first
‒ Move to Redshift / Pentaho after virtual analytics are validated

7. 3/13/2016 LOGITECH CONFIDENTIAL: NOT FOR DISTRIBUTION 7
DATA VIRTUALIZATION - ROADMAP

8. 8
BENEFITS
▪ Proactive – IT has embraced cloud as a model for achieving
innovation through increased efficiency, reliability and agility
▪ Reusability and template development
▪ Rapid innovation within governance structure, balanced
costs, risks and service levels
▪ Greater efficiency and reliability, enabling broader audience
to consume IT services via self-service

9. 9
NEXT STEPS
Want to learn more?
▪Amazon AWS - https://aws.amazon.com/
▪Data Virtualization
https://en.wikipedia.org/wiki/Data_virtualization
http://www.denodo.com/en
▪Columnar databases - https://aws.amazon.com/redshift/
▪Pentaho DI and BA - http://community.pentaho.com/

10. THANK YOU
<Avi - @Avinash49799752 >