The document discusses Hadoop's role in transforming data management through the introduction of the Enterprise Data Hub (EDH), emphasizing a shift from moving data to computing to bringing compute to data. It outlines the advantages of a multi-workload analytic platform for faster and cost-effective analytics, enabling comprehensive data visibility and compliance. The EDH is presented as a solution for public sector challenges, enhancing data analysis capabilities while maximizing infrastructure and human capital.

1. Hadoop’s Impact on the
Future of Data Management
Introduction of the Enterprise Data Hub
1
©2014 Cloudera, Inc. All rights reserved.

2. Expanding Data Requires A New Approach
1980s
Now
Bring Data to Compute
Bring Compute to Data
Compute
Compute
Data
Compute
• Structured data mainly
• Internal data only
• “Important” data only
Data
Data
Process-centric
businesses use:
Compute
Data
Compute
Multi-structured,
internal & external data
of all types
Compute
Data
Relative size & complexity
2
Information-centric
businesses use all data:
©2014 Cloudera, Inc. All rights reserved.

3. The Old Way: Bringing Data to Compute
4
3
2
1
3
Complex Architecture
• Many special-purpose
systems
• Moving data around
• No complete views
Cost of Analytics
• Existing systems strained
• No agility
• BI backlog
Time to Data
• Up-front modeling
• Transforms slow
• Transforms lose data
EDWS
MARTS
SERVERS
DOCUMENTS
STORAGE
SEARCH
ARCHIVE
Visibility
• Leaving data behind
• Risk and compliance
• High cost of storage
ERP, CRM, RDBMS, MACHINES
FILES, IMAGES, VIDEOS, LOGS, CLICKSTREAMS
©2014 Cloudera, Inc. All rights reserved.
EXTERNAL DATA SOURCES

4. The New Way: Bringing Compute to Data
4
3
2
1
4
Multi-workload analytic platform
• Bring applications to data
• Combine different workloads on
common data (i.e. SQL + Search)
• True BI agility
4
Self-service exploratory BI
• Simple search + BI tools
• “Schema on read” agility
• Reduce BI user backlog requests
Data management, transform
• One source of data for all analytics
• Persisted state of transformed data
• Significantly faster & cheaper
3
2
SERVERS
MARTS
EDWS
DOCUMENTS
STORAGE SEARCH
1
ARCHIVE
1
Active archive
• Full fidelity original data
• Indefinite time, any source
• Lowest cost storage
ERP, CRM, RDBMS, MACHINES
FILES, IMAGES, VIDEOS, LOGS, CLICKSTREAMS
©2014 Cloudera, Inc. All rights reserved.
ESTERNAL DATA SOURCES

5. EDH for Public Sector
APACHE
HADOOP™
5

6. EDH for Public Sector
Improve Data
Visibility and Analysis
Ensure Compliance
and Security
Maximize
Infrastructure &
Human Capital
6
APACHE
HADOOP™

7. EDH for Public Sector
Improve Data
Visibility and Analysis
Ensure Compliance
and Security
Maximize
Infrastructure &
Human Capital
7
Too many, too much, too
diverse, too rigid, too rapid
Known unknowns
and unknown
unknowns

8. EDH for Public Sector
Improve Data
Visibility and Analysis
Ensure Compliance
and Security
Maximize
Infrastructure &
Human Capital
8
Too constrained, too slow, too
complicated, too unclear
Who, what, where,
when, and how

9. EDH for Public Sector
Improve Data
Visibility and Analysis
Ensure Compliance
and Security
Maximize
Infrastructure &
Human Capital
9
Too costly, too valuable, too
complicated, too disruptive
Familiar, consistent,
flexible, open

10. Cloudera’s Enterprise Data Hub
Integration with Over 200 ISVs
• Self-Service BI
• Data Exploration
• Visualization
Flexible Deployment Options
• On-Premise or Cloud
• Appliances
• Engineered Systems
Powerful Security Solution
• Risk Analysis
• Fraud Prevention
• Compliance
Infinite Analytic Storage
• Multi-Structured Data
• In-place Analytics
• Active Archive
Advanced Analytics Engine
• 360° Customer View
• Recommendation Engines
• Processing & Analytics
Improve IT Operations
• ETL Acceleration
• EDW Rationalization
• Mainframe Offload
10

11. ‹#›
11
©2014 Cloudera, Inc. All rights reserved.

12. 12
©2014 Cloudera, Inc. All rights reserved.