Tekin Mentes - Logitech Organizations are fast adapting cloud to lower the IT costs, and increase agility. In this presentation, Logitech will present how they migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.

1. 2 6 T H O C TO B E R , 2 0 1 7 L O N D O N , U K
Learn how agile data integration methods lead to better business results
#DenodoDataFest
The Agile Data Management
and Analytics Conference

2. LOWERING IT COSTS
WITH BIG DATA AND
CLOUD MODERNIZATION
Tekin Mentes
Enterprise Data Architect
tmentes@logitech.com
tekinmentes

6. LOGITECH CONFIDENTIAL: NOT FOR DISTRIBUTION
ANALYTICS AT SCALE
SUPPORTING OUR GROWING BUSINESS

7. ANALYTICS AT SCALE – THE BEGINNING
• Create a decentralised self-service analytics environment for traditional business reporting and
analytics (Descriptive and Diagnostic Analytics). Becomes a purely EXPLICIT experience.
• Allowing for a centralised, cross-functional shared advanced analytics service tasked to deliver Predictive
and Prescriptive analytics to the organisation.
• A minimal investment, with leveraged return.
Mode I
Traditional Analytics
Mode II
Modern Analytics

8. CHALLENGES
Scalability
Structured Semi-Structured Unstructured
BatchDataVelocityReal-Time
Social Media
Sentiment
Predictive Analytics
Demand Forecasting
Price violations
on Retail sites
Data Warehousing Text Mining
Security Video
Analysis
Retail Data
scrapping
Machine Learning
ioT
Multi site ERP
Marketing Funnel
Sales Channel Mgmt
Smart Home
Natural Language
Processing (NLP) VR Gaming
Device Events

9. CHALLENGES
Scalability Agility
Business – determine what questions to ask
IT – Structures the data to answer the question
IT – Delivers a platform to enable creative discovery
Business – Explores what questions could be asked
Business
Intelligence
Data
Discovery
Things business knows
Things business might not know
Questions business
is unaware of
Questions known to
business

10. Source: Gartner
CHALLENGES
Scalability Agility
Cost

11. Source:Firstmark
CHALLENGES
Scalability Agility
Cost Adaptation

12. LOGITECH ANALYTICS
Cloud Analytics
Data Virtualization
Abstract
access
A single
semantic
repository
Tool
Agnostic
Architecture
Centralized,
governed
secured
data layer
Scalable
Efficient
Reliable
Managed
Cloud empowers IT organizations to
redefine the way data services are
produced and delivered
“By 2018, organizations with data virtualization
capabilities will spend 40% less on building and
managing data integration processes for connecting
distributed data assets.” - Gartner

13. REFERENCE ARCHITECTURE
Metadata Management, Data Governance, Data Security
Cost and Usage Pattern
Sensor Data
Machine Data Logs
Social Data
Clickstream Data
Internet Data
Image and Video
Cloud Applications
Enterprise
Applications
Data Sources Data Insights
Self-Service /
Data Discovery
Reporting
Predictive Analytics
Statistical Analytics
Sentimental Analytics
Text Analytics
Data Mining
Data Virtualization
Data Collection
Real-Time Data Access (On-Demand / Streaming)
C
D
C
E
T
L
EDW
ODS
Cloud DW
NoSQL
Data Warehouse
File Storage (S3)
Batch DW Spark SQL
NoSQLSearch Search
Big Data
In-Memory
Analytical
Appliances
Real-Time
Decision Support
Alerts
Scorecards/
Dashboards

14. SOLUTION ARCHITECTURE
Amazon Web Services
AWS GlacierAWS S3 AWS Redshift
Pentaho DI
Pentaho Operations Mart
Cloudwatch SNSIAM Cloudtrail EMR SPARK Python / R
AWS RDS
Denodo Data Virtualization
Tableau Pentaho BA Data Interfaces Web ServicesOBIEE CUBES
Snowflake
Text Analytics

15. BENEFITS
• Embraced cloud as a model for achieving innovation through increased efficiency,
reliability and agility, enabling broader audience to consume IT services via self-service
• Reusability and template development, rapid innovation within governance/security
structure, balanced costs, risks and service levels
• More business insights by leveraging all data, empower people with instant access to all
the data they want, the way they want it.
• Respond faster time to solution than traditional data integration – Speed to Market
• Array of connection options from structured to unstructured data
• Business Layer, enabling data consistency through single object, multiple consumers

16. 10/30/2017
LOGITECH CONFIDENTIAL: NOT FOR
DISTRIBUTION
15
DATA VIRTUALIZATION – ROADMAP

17. LESSONS LEARNT
• Paradigm shift – Traditional RDBMS to Columnar Database
• Denodo - Data Delivery Platform
• Tools will change, Data will stay – Need a platform that keeps all together
• Need of Governance for Modern Analytics
• IT is enabler, not producer!

18. Tekin Mentes
Enterprise Data Architect
tmentes@logitech.com
tekinmentes