Most organization who going through Digital Transformation need to break down their data silos as well as leverage existing and new data sources. Here is how to build a data lake for data change in your organization.

1. @isanuage
Achieving Agility and Scale
for Your Data Lake
Isabelle Nuage, Product Marketing
Cyril Sonnefraud, Product Management

2. ©2017 Talend Inc #TalendConnect
Poll
• Who’s using Talend Big Data today?
• Who has a data lake in production?
• Who is deploying or planning a data lake project within
12 months?
• Who is implementing a data lake in the Cloud?

3. <Digital Tranformation Stats>
By end
2017, > 70%
of G500
By 2020,
50% of the
G2000
Digital Transformation is no Longer an Option
Are You Prepared?
But only
26% of
Organizations
Accenture and Forrester Digital
Transformation in the Age of the
Customer studyIDC Futurescape

4. The Data Lake is the New Digital Backbone
• Break down data silos
• Structured and
unstructured
• Granular data
• Machine learning

5. BusinessValue
• Offload EDW
• Cheaper storage
• Access to archived data
Why Create Data Lakes?
Reduce costs

6. BusinessValue
Generating new opportunities
• Offload EDW
• Cheaper storage
• Access to archived data
• Customer acquisition, retention..
• Real-time engagement
• Pricing optimization
• Demand forecasting
• Risk and fraud
• Predictive maintenance
• Smart products…
Why Create Data Lakes?
Reduce costs

7. 7
Challenges
Complex
Technology
Limited
Access
Data
Swamps
How to achieve
Agility & Scale?
DATA
LAKES
#TalendConnect

8. People Doing it the OLD Way…
#TalendConnect

9. 2017 Lenovo Internal. All rights reserved.
Change is the Only Constant
BusinessValue
Reporting Measurement
Business
Insights
Optimization Predictive
Analytics
Automation Prescriptive
Analytics
Pre FY - 07
FY - 07/10
FY - 11/ 12
FY - 13/ 14
FY – 15/ 17
Time
Cognitive
Analytics
FY – 17/ 18

10. • Any innovation
• Any platform
• Any use case
• Any speed
• Any user
The Agile Data Lake

11. The Path to Agility
Ingestion+basic
visualization
DataQuality
SelfService
Data
Governance
Real-time
Machine
Learning

12. ©2017 Talend Inc #TalendConnect
Examples
Smart Data Quality
Smart Data Pipelines

13. Demo flow
Data Lake
Incoming Lead Data
(Raw)
Amazon EMR Cluster Data Lake
Output Lead Data (Processed)
With Segmentation
1
Ingestion with Smart Data
Quality
2
Smart Data Pipeline
with Machine Learning

14. ©2017 Talend Inc #TalendConnect
Architecture
Guidelines

15. On-premise Data Lakes
On-Premise
Data Sources
Ingest Prepare Process Access Consume
Cloud
Data Sources
Governance
Processing
Storage
On-prem Datalake

16. Hybrid Data Lakes
On-Premise
Data Sources
Ingest Prepare Process Access Consume
Cloud
Data Sources
Governance
Cloud Processing
Processing
Cloud Storage
Storage
On-prem Datalake
Cloud Datalake
Distribute

17. Cloud Data Lakes – A Concrete Example
Ingest Prepare Process Access Consume
Governance
Cloud Processing
Cloud Storage
On-Premise
Data Sources
Cloud
Data Sources
S3
EMR
Cloud Storage
Cloud Dataflow
Azure DL Store
HDInsight

18. The Path to Agility
Ingestion+basic
visualization
DataQuality
SelfService
Data
Governance
Real-time
Machine
Learning

19. Deliver Value Along The Way
Start with quick wins & business outcome in mind
Get a cadence of constantly delivering value
Focus on game changer value drivers
Get the company onboard

20. Be Eligible to Win Prizes at the End of the Show!