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1
DATA VIRTUALIZATION IN THE CLOUD –
ACCELERATING TIME-TO-VALUE
Avinash Deshpande
Principal, Big Data and Advanced Analytics
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
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
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
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
3/17/2016
LOGITECH CONFIDENTIAL: NOT FOR
DISTRIBUTION
7
DATA VIRTUALIZATION - ROADMAP
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
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/
THANK YOU
Avinash Deshpande
Twitter: @Avinash49799752
Email: adeshpande2@logitech.com

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Data Virtualization in the Cloud – Accelerating Time-to-Value

  • 1. 1 DATA VIRTUALIZATION IN THE CLOUD – ACCELERATING TIME-TO-VALUE Avinash Deshpande Principal, Big Data and Advanced Analytics
  • 2.
  • 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. 3/17/2016 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 Avinash Deshpande Twitter: @Avinash49799752 Email: adeshpande2@logitech.com