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Page 1 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop Stories
Tim MarstonDirector, Regional Alliances EMEA
@timmarston
Page 2 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Page 3 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Plans for Hadoop Adoption (Gartner, May 2015)
No Plans55%Already doing
27%
Start within 1 year11%
Start within 2 years7%
Page 4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Page 5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Plans for Hadoop Adoption (Gartner, May 2015)
No Plans55%Already doing
27%
Start within 1 year11%
Start within 2 years7%
Page 6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks: Hadoop for the EnterpriseO
NLY 100
open sourceApache Hadoop data platform
% Founded in 2011
HADOOP1STdistribution to go public
IPO Fall 2014 (NASDAQ: HDP)
subscriptioncustomers700+ employees across
800+
countriestechnology partners1350+ 17
TM
Page 7 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Modern Data Architecture
• Applications can be given access to all data through a single platform
• Simpler governance, security and operations
• Able to handle all sizes and types of applications and datasets
Clickstream Web&Social
Geolocation Sensor& Machine
ServerLogs
Unstructured
SOU
RC
ES
Existing Systems
ERP CRM SCM
ANAL
YTIC
S
Data Marts
Business Analytics
Visualization& Dashboards
ANAL
YTIC
S
Applications Business Analytics
Visualization& Dashboards
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HDFS (Hadoop Distributed File System)
YARN: Data Operating System
Interactive Real-TimeBatch Partner ISVBatch BatchMPP
EDW
Page 8 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Hadoop Journey
Page 9 © Hortonworks Inc. 2011 – 2015. All Rights ReservedPage 9 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Historical Records
OPEXReduction
Mainframe Offloads
Fraud Prevention
Dataas a
Service
Public Data
Capture
IT executives are delivering substantial reductions in operating costs by modernizing their data architectures with Open Enterprise Hadoop. These cost saving innovations include active archive of cold data, offloading ETL processes and enriching existing data.
Digital Protection
Device Data
Ingest
Rapid Reporting
Page 10 © Hortonworks Inc. 2011 – 2015. All Rights ReservedPage 10 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Payment Tracking
Call Analysis
Machine Data
Product Design
Social Mapping
Factory Yields
Defect Detection
Due Diligence
M & A Proactive Repair
Disaster Mitigation
Investment Planning
Next Product
Recs
Store Design
Risk Modeling
Ad Placement
Inventory Predictions
Sentiment Analysis
Ad Placement
Basket Analysis Segments
Customer Support
Supply Chain
Cross-Sell
Customer Retention
Vendor Scorecards
Optimize Inventories
Business executives are driving transformational outcomes with next-generation applications that empower new uses of Big Data including: data discovery, a single view of the customer and predictive analytics.
Page 11 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Vision: Enabling the Data LakeSC
ALE
SCOPE
Data Lake Definition• Centralized Architecture
Multiple applications on a shared data set with consistent levels of service
• Any App, Any DataMultiple applications accessing all data affording new insights and opportunities.
• Unlocks ‘Systems of Insight’Advanced algorithms and applications used to derive new value and optimize existing value.
Drivers:1. Cost Optimization2. Advanced Analytic Apps
Goal:• Centralized Architecture• Data-driven Business
DATA LAKE
Journey to the Data Lake with Hadoop
Systems of Insight
Page 12 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Data Archive for legal casesProject cash positive after 12 months, with order of magnitude Opex savings once implemented.
Source: http://www.slideshare.net/Hadoop_Summit/making-the-case-for-hadoop-in-a-large-enterprisebritish-airways
Page 13 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Self-learning cars“...if British manufacturing is to survive it needs to be competitive. And it cannot be competitive without data.”
Source: https://diginomica.com/2015/09/11/using-hadoop-inside-jaguar-land-rover-zurich-insurance-and-the-home-office/
Page 14 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Modern Data Architecture“The aim is to use Hadoop, a mix of internal and external data, to take Zurich Insurance to the next level of maturity in terms of using data to drive business decisions.”
Source: https://diginomica.com/2015/09/11/using-hadoop-inside-jaguar-land-rover-zurich-insurance-and-the-home-office/
Page 15 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop at Scale1300 Hadoop nodes, 42PB stored20TB ingested via Kafka per day200TB generated by Hadoop per day
Source: http://cdn.oreillystatic.com/en/assets/1/event/118/The%20Evolution%20of%20Hadoop%20at%20Spotify-%20Through%20Failures%20and%20Pain%20Presentation.pdf
Page 16 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Future?
Page 17 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The 100% open source Hadoop distribution
Page 18 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks Data Platformpowered by Apache Hadoop
Hortonworks Data Platformpowered by Apache Hadoop
EnrichContext
Store Data and Metadata
Internetof Anything
Hortonworks DataFlowpowered by Apache NiFi
Perishable Insights
HistoricalInsights
Hortonworks DataFlow
Page 19 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Appendix
Page 20 © Hortonworks Inc. 2011 – 2015. All Rights ReservedPage 20 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks Influences the Apache Community
We Employ the Committers--one third of all committers to the Apache®
Hadoop™ project, and a majority in other important projects
Our Committers Innovateand expand Open Enterprise Hadoop
We Influence the Hadoop Roadmapby communicating important requirements to the community through our leaders
A P A C H E H A D O O P C O M M I T T E R S
Page 21 © Hortonworks Inc. 2011 – 2015. All Rights ReservedPage 21 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks Data Platform Is Genuinely Open
Eliminates Riskof vendor lock-in by delivering 100% Apache open source technology
Maximizes Community Innovationwith hundreds of developers across hundreds of companies
Integrates Seamlesslythrough committed co-engineering partnerships with other leading technologies
M A X I M U M C O M M U N I T Y I N N O V A T I O N
T H E I N N O VAT I O N A D VA N TA G E
P R O P R I E T A R Y H A D O O P
T I M E
INN
OV
AT
ION
O P E N C O M M U N I T Y
Page 22 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hortonworks Delivers Proactive Support
Hortonworks SmartSense™with machine learning and predictive analytics on your cluster
Integrated Customer Portalwith knowledge base and on-demand training
Knowledge Base
Integrated Customer Portal
On-Demand Training
Customer EnvironmentAny cloud • Hybrid Environment • Multi-tenant
Hortonworks SmartSense
Page 23 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Open Data Platform
Common ODP CoreApache Hadoop and Apache Ambari
Open Platform with Apache Hadoop
Pivotal HDHDP
April
14
Page 24 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Data Governance Initiative
Hadoop must snap in to the existing frameworks and openly
exchange metadata.
Hadoop must address governance within its own stack
of technologies
Page 25 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Cautionary Statement Regarding Forward-Looking Statements
This presentation contains forward-looking statements involving risks and uncertainties.Such forward-looking statements in this presentation generally relate to future events, ourability to increase the number of support subscription customers, the growth in usage of theHadoop framework, our ability to innovate and develop the various open source projectsthat will enhance the capabilities of the Hortonworks Data Platform, anticipated customerbenefits and general business outlook. In some cases, you can identify forward-lookingstatements because they contain words such as “may,” “will,” “should,” “expects,” “plans,”“anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,”“predicts,” “potential” or “continue” or similar terms or expressions that concern ourexpectations, strategy, plans or intentions. You should not rely upon forward-lookingstatements as predictions of future events. We have based the forward-looking statementscontained in this presentation primarily on our current expectations and projections aboutfuture events and trends that we believe may affect our business, financial condition andprospects. We cannot assure you that the results, events and circumstances reflected in theforward-looking statements will be achieved or occur, and actual results, events, orcircumstances could differ materially from those described in the forward-lookingstatements.
The forward-looking statements made in this prospectus relate only to events as of the dateon which the statements are made and we undertake no obligation to update any of theinformation in this presentation.
TrademarksHortonworks is a trademark of Hortonworks, Inc. in the United States and otherjurisdictions. Other names used herein may be trademarks of their respective owners.