2. Your Path to Success with Big Data

3. 3
The Typical Business Intelligence Data Stack
3
BI / Reporting
EDW
Transformation (ETL)
Staging / Storage
Collection

4. 4
Step 1: EDH for Storage/Staging/Active Archive
4
BI / Reporting
EDW
Transformation (ETL)
EDH for Storage Active Archive
Collection

5. 5
EDH for Collection & Storage.
Step 1: EDH for Storage/Staging/Active Archive
5
BI / Reporting
EDW
Transformation (ETL)

6. 6
Step 3: EDH for Transformation Acceleration
6
EDW
EDH for Collection,
Storage
& Transformation Acceleration.
ETL / Data
Integration
Tools
BI / Reporting

7. 7
EDH for Collection, Storage,
Transformation Acceleration
& historical EDW data/queries.
Step 4: EDH for EDW Optimization (Impala)
7
BI / Reporting
EDW Rarely Used Data

8. 8
Step 4: EDH for EDW Optimization (Impala)
8
EDW
BI / Reporting Agile Exploration
EDH for Collection, Storage,
Transformation Acceleration
& historical EDW data/queries.

9. 9
Step 6: EDH for Data Science (Oryx/Spark)
9
EDH for Collection, Storage,
Transformation Acceleration
& historical EDW data/queries.
EDW
BI / Reporting Agile Exploration Data Science

10. 10
Step 7: Full Consolidation - Apps Come to Data
10
EDW
BI Explore
Data
Science
SAS, R,
Spark
Informatica
SyncSort,
Pentaho
Hunk
...
EDH for
Collection, Storage, Transformation
Acceleration
& historical EDW data/queries.

11. 11
Data ScienceExploration
ETL
Acceleration
Operational Efficiency Information Advantage
Cheap
Storage
BusinessIT
Journey to Achieve Full Potential
©2014 Cloudera, Inc. All Rights Reserved.
EDW
Optimization
Consolidation
360° View

12. 12
WEB/MOBILE APPLICATION
ONLINE SERVING
SYSTEM
ENTERPRISE DATA
WAREHOUSE
ENTERPRISE
REPORTINGBI / ANALYTICSDATA MODELINGDEVELOPER
TOOLS
CLOUDERA
MANAGER
META DATA /
ETL TOOLS
ENTERPRISE DATA HUB
The Modern Information Architecture
©2014 Cloudera, Inc. All Rights Reserved.12
Data Architects System Operators Engineers Data Scientists Analysts Business Users
Customers & End Users
SYS LOGS WEB LOGS FILES RDBMS

13. 13
Data Warehouse vs. Data Hub
©2014 Cloudera, Inc. All Rights Reserved.
Enterprise Data Warehouse Enterprise Data Hub

14. 14
BI and Analytics
Partners
Enabling The App Store of Big Data
SI, Cloud, MSP
Partners
Database
Partners
Resellers
Data Integration
Partners
Hardware
Partners

15. 15
Customer Success Across Industries
Financial &
Business Services
Telecom
Technology
Healthcare
Life Sciences
Media
Retail
Consumer
Energy
Public Sector

16. 16
Conclusion: An Enterprise Data Hub Allows You To
• Active Archive
• Retain “Option Value” of Data
• Accelerate ETL Transformations
• Enable Exploration/Agility
• Consolidate Silos
• Achieve True 360 View of
Customers and Products.
©2014 Cloudera, Inc. All Rights Reserved.

17. Thank You!
17