Bernard Doering, Senior Slaes Director DACH, Cloudera. Hadoop and the Future of Data Management. As Hadoop takes the data management market by storm, organisations are evolving the role it plays in the modern data centre. Explore how this disruptive technology is quickly transforming an industry and how you can leverage it today, in combination with MongoDB, to drive meaningful change in your business.

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I o T E U R O P E A N C I T Y T O U R
S T U T T G A R T

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Hadoop and the Future of Data Management
Bernard Doering
Regional Sales Director, Central Europe

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Leading the Way in Data Management
Powered by Hadoop
2008
CLOUDERA FOUNDED
BY MIKE OLSON
AMR AWADALLAH &
JEFF HAMMERBACHER
2009
HADOOP CREATOR
DOUG CUTTING JOINS
CLOUDERA
2009
CLOUDERA RELEASES CDH
THE FIRST COMMERCIAL
APACHE HADOOP
DISTRIBUTION
2010
CLOUDERA MANAGER:
FIRST MANAGEMENT
APPLICATION FOR
HADOOP
2011
CLOUDERA REACHES
100 PRODUCTION
CUSTOMERS
2011
CLOUDERA UNIVERSITY
EXPANDS TO 140
COUNTRIES
2012
CLOUDERA
ENTERPRISE 4
THE STANDARD FOR
HADOOP IN THE
ENTERPRISE
2012
CLOUDERA CONNECT
REACHES 300
PARTNERS
2014
THE ENTERPRISE
DATA HUB
LAUNCHED
2013
CLOUDERA IMPALA
CLOUDERA NAVIGATOR
CLOUDERA SEARCH
2013
TOM REILLY JOINS AS CEO
OVER 800 PARTNERS
IN CLOUDERA CONNECT
CDH Cloudera
Manager
CLOUDERA
ENTERPRISE
4
ASK BIGGER
QUESTIONS
ENTERPRISE
DATA HUB

4. Intel Confidential
4
Big Deal: Cloudera + Intel
Intel invests $740M in Cloudera
 As Intel’s largest data center venture capital investment, which represents Intel’s
commitment to Internet of Things and Big Data
 Supports Cloudera’s ability to remain independent
Intel & Cloudera drive innovation through open source
 Accelerate evolution of Hadoop by joining forces on foundational technologies
 Enable open source developers to innovate in and on top of the Hadoop platform
Intel enables CDH to run best on Intel Architecture – performance optimisation
 Enables Cloudera to make best use of Intel data center technologies
 Provides datacenter infrastructure for Cloudera development & benchmarking at scale

5. Intel Confidential
5
Big Goal: Converge on one open source platform
• Most stable, compatible, and mature
Hadoop distribution
• Leading SQL functionality &
performance (Impala)
• Deepest management and
governance capabilities
• 150 Hadoop developers
• 100 open source committers
• The only distribution with performance
and security enhanced from the silicon
up
• Leading security capabilities including
encryption, access control, and auditing
• 50 Hadoop developers and 12
committers
• Long-standing committment to open
source with 1000 developers working
on Linux, KVM, Xen, Java, OpenStack,
Hadoop

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Data drives innovation – Internet of Things
INTELLIGENT
CLOUD
Richer data to
analyze
40 Zettabytes of data will
be generated WW in
20201
2.8 Zettabytes of data
generated WW in 20121
SMART
CLIENTS
Richer
user experiences
INTELLIGENT THINGS
Richer data
from devices
Sources: (1) IDC Digital Universe 2020, (2) IDC

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Big Data is All Data and All Paradigms
Transactional &
Application Data
Machine Data Social Data
• Volume
• Structured
• Throughput
• Velocity
• Semi-structured
• Ingestion
• Variety
• Highly unstructured
• Veracity
Enterprise
Content
• Variety
• Highly unstructured
• Volume

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10. 1100

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Expanding Data Requires A New Approach
1980s
Bring Data to Compute
Compute
Data
Data
©2014 Cloudera, Inc. 12 All rights reserved.
Now
Bring Compute to Data
Relative size & complexity
Data
Information-centric
businesses use all data:
Multi-structured,
internal & external data
of all types
Compute
Compute
Compute
Process-centric
businesses use:
• Structured data mainly
• Internal data only
• “Important” data only
Compute
Compute
Data
Data

13. The Old Way: Moving Data to Compute
Huge Investment in Specialized Systems that Treat Data as a Commodity
EDWS MARTS SERVERS DOCUMENTS STORAGE SEARCH ARCHIVE
ERP, CRM, RDBMS, MACHINES FILES, IMAGES, VIDEOS, LOGS, CLICKSTREAMS EXTERNAL DATA SOURCES
Major Challenges
Missing Data
• Leaving data behind
• Risk and compliance
• High cost of storage
Time to Data
• Up-front modeling
• Transforms slow
• Transforms lose data
Cost of Analytics
• Existing systems strained
• No agility
• “BI backlog”
Complex Architecture
• Many special-purpose systems
• Moving data around
• No complete views
14 ©2014 Cloudera, Inc. All rights reserved.

14. The Old Way: Siloed Business Functions
Lack of Coordination Increases Opportunity Costs and Decreases Data Availability
MARKETING RISK TRANSACTIONAL LENDING CREDIT CARDS INVESTMENT
TRANSACTIONS LOGS MARKET DATA RESEARCH CUSTOMER DATA
15 ©2014 Cloudera, Inc. All rights reserved.
BACK OFFICE
Major Challenges
 Poor Visibility
 Inefficiency
 Extreme Cost
 Complexity

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The New Way: Bringing Compute to Data
Maximize Benefit from All Your Data for Mission-Critical Jobs and Innovation
SERVERS MARTS EDWS DOCUMENTS STORAGE SEARCH ARCHIVE
ERP, CRM, RDBMS, MACHINES FILES, IMAGES, VIDEOS, LOGS, CLICKSTREAMS EXTERNAL DATA SOURCES
©2014 Cloudera, Inc. All rights reserved.
Major Benefits
Active Compliance Archive
• Full fidelity original data
• Indefinite time, any source
• Lowest cost storage
Persistent Storage
• One source of data for all analytics
• Persist state of transformed data
• Significantly faster & cheaper
Self-Service Exploratory BI
• Simple search + BI tools
• “Schema on read” agility
• Reduce BI user backlog requests
Diverse Analytic Platform
• Bring applications to data
• Combine different workloads on
common data (i.e. SQL + Search)
• True analytic agility

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Your Journey to Achieve Full Potential
Operational Efficiency Information Advantage
Exploration Data Science
ETL
Acceleration
Cheap
Storage
EDW
Optimization
IT Business
©2014 Cloudera, Inc. All Rights Reserved.
Consolidation
360° View
Advance from Strategy to ROI with Best Practices and Peak Performance

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From Hadoop to an Enterprise Data Hub
Open Source
Scalable
Flexible
Cost-Effective
✔
Managed ✖
✔
✔
✔
Open
Architecture ✖
Secure and
Governed ✖
CLOUDERA’S ENTERPRISE DATA HUB
©2014 Cloudera, Inc. 19 All rights reserved.
3RD PARTY
APPS
STORAGE FOR ANY TYPE OF DATA
UNIFIED, ELASTIC, RESILIENT, BATCH
PROCESSING
MAPREDUCE
ANALYTIC
SQL
IMPALA
SEARCH
ENGINE
SOLR
MACHINE
LEARNING
SPARK
STREAM
PROCESSING
SPARK STREAMING
WORKLOAD MANAGEMENT YARN
FILESYSTEM
HDFS
ONLINE NOSQL
HBASE
MANAGEMENT
CLOUDERA NAVIGATOR
DATA
MANAGEMENT
CLOUDERA MANAGER
SYSTEM
, SECURE
SENTRY

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The Modern Information Architecture
Data Architects System Operators Engineers Data Scientists Analysts Business Users
BI / ANALYTICS REPORTING MACHINE
LEARNING
ENTERPRISE
ENTERPRISE DATA
WAREHOUSE
ONLINE SERVING
SYSTEM
WEB/MOBILE APPLICATIONS
CONVERGED
APPLICATIONS
CLOUDERA
MANAGER
META DATA /
ETL TOOLS
ENTERPRISE DATA HUB
©2014 Cloudera, Inc. All Rights Reserved.
Customers & End Users
SYS LOGS WEB LOGS FILES RDBMS

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Customer Success Across Industries
Financial &
Business Services
Telecom &
Technology
Healthcare &
Life Sciences
Media &
Information
Retail &
Consumer
Energy &
Public Sector
©2014 Cloudera, Inc. All rights reserved.

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Enabling The App Store of Big Data
BI and Analytics
Partners
SI, Cloud, MSP
Partners
Database
Partners
Resellers
Data Integration
Partners
Hardware
Partners
©2014 Cloudera, Inc. All rights reserved.

21. Intel Confidential
Partnership
● Combine the rich data from MongoDB with other
data sources in Cloudera
● Leverage data from Cloudera in operational apps on
MongoDB

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Example - Storage Archive
eCommerce App Storage Archive
● Clicks
● Behavior
● Etc.
MongoDB Connector for
Hadoop
● Profile Data
● Product Catalog
● Clicks
● Etc.

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Example - ETL
eCommerce App ETL
MongoDB Connector
for Hadoop
Data
Warehouse
● Clicks ● Existing Reporting
● Behavior
● Etc.
● Profile Data
● Product Catalog
● Clicks
● Etc.

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Example - Recommendation Analysis
eCommerce App Analysis
● CTR Analysis
● Patterns
● Better recommendations in
real-time
● Profile Data
● Product Catalog
● Clicks
● Etc.
MongoDB Connector for
Hadoop

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Operational Analytical

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Thank you!
Bernard Doering
bdoering@cloudera.com
Tel. +49 172 692 9837
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I o T E U R O P E A N C I T Y T O U R
S T U T T G A R T