Harnessing Data-in-Motion with
Hortonworks DataFlow
A Paradigm Shift to Business as Usual:
Real World Use Cases of Real-Time
DataFlows in Record Time
Anna Yong
Product Marketing
Haimo Liu
Product Manager
2 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
Overview of Hortonworks DataFlow (HDF)
How HDF transforms data movement – months to minutes
HDF Use Cases
Real-World HDF Use Cases
Apache NiFi Case Studies from Hadoop Summit
Other Apache NiFi/HDF Use Cases
3 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Connected Data Platforms
4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Payment
Tracking
Due
Diligence
Social
Mapping
Product
Design
M & A
Call
Analysis
Machine
Data
Defect
Detecting
Factory
Yields
Customer
Support
Basket
Analysis
Segments
Customer
Retention
Sentiment
Analysis
Optimize
Inventories
Supply
Chain
Cross-
Sell
Vendor
Scorecards
Ad
Placement
Cyber
Security
Disaster
Mitigation
Investment
Planning
Ad
Placement
Risk
Modeling
Proactive
Repair
Inventory
Predictions
Next
Product Recs
OPEX
Reduction
Historical
Records
Mainframe
Offloads
Device
Data
Ingest
Rapid
Reporting
Digital
Protection
Data
as a
Service
Fraud
Prevention
Public
Data
Capture
INNOVATE
RENOVATE
E X PLO R E O PTIMIZE TR A NS FO R M
ACTIVE
ARCHIVE
ETL
ONBOARD
DATA
ENRICHMENT
DATA
DISCOVERY
SINGLE
VIEW
PREDICTIVE
ANALYTICS
5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
 Constrained
 High-latency
 Localized context
 Hybrid – cloud / on-premises
 Low-latency
 Global context
Core
Infrastructure
Hortonworks DataFlow Manages Data in Motion
Regional
InfrastructureSources
6 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Hortonworks DataFlow Manages Data in Motion
Core
InfrastructureSources
 Constrained
 High-latency
 Localized context
 Hybrid – cloud / on-premises
 Low-latency
 Global context
Regional
Infrastructure
7 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
451 Analyst Report on Stream Processing and Streaming Integration
http://hortonworks.com/info/value-streaming-integration/
8 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Dataflow Management
9 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Problems Today: Timely Access to Data and Decisions
http://diginomica.com/2016/04/22/royal-mail-starts-to-deliver-on-hortonworks-data-in-motion-promise
“HDF helps us to streamline the flow
of data and build models and
visualisations quickly, so that my team
can work iteratively with business
colleagues on building solutions
that work for the business.“
Royal Mail
10 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
HDP
HORTONWORKS
DATA PLATFORM
Powered by Apache Hadoop
HDF Makes Big Data Ingest Easy
Complicated, messy, and takes weeks to
months to move the right data into Hadoop
HDP
HORTONWORKS
DATA PLATFORM
Streamlined, Efficient, Easy
HDP
HORTONWORKS
DATA PLATFORM
Powered by Apache Hadoop
11 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Hortonworks DataFlow, Powered by Apache NiFi. Demo Time
12 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Create a live dataflow in minutes
How would that change your business?
13 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Add processor for data intake. Time: 1 minute
1 Drag and drop processor from top menu
14 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Choose the specific processor
2 Choose one of the processors – currently 170+ available
15 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Example: Pick Twitter Processor
16 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Configure the processor. Time: 2 minutes
3
4
Select processor and choose
option to Configure
Adjust
parameters as
required
17 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Another processor for data output. Time: 1 minute
5
6 Filter for and select a “Put” processor
Drag and drop processor from top menu
18 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Configure second processor. Time: 1 minute
7 Configure 2nd processor
19 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Connect processors, configure connection. 2 minutes
Configure Connection8
Note: Sample Flow is different from previous example of PutHDFS. This dataflow is PutFile. Same concepts apply.
20 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Click Start to Begin Processing. Time total: 7 minutes
9 Click start “play” to being processing
(will run continuously until you select stop)
21 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
HDF Use Cases
22 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Core
Infrastructure
Hortonworks DataFlow Use Cases
Regional
InfrastructureSources
Dataflow Management
• On-ramp into Hadoop
• Log Collection / Splunk Optimization
• Cyber Security
• IoT Ingestion
• Deliver data into stream processing engines
Real-time Event Processing
(Kafka, Storm)
Move data between
from on-prem and
cloud environments
23 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Optimize Log Analytics with Content Based Routing
24 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
IoT Data Ingestion
Constrained
High-Latency
Localized Context
Hybrid – Cloud/On-Premise
Low-Latency
Global Context
Resolves real world connectivity and transmission issues often overlooked by assuming connectivity is always perfect
25 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Enterprise Data Movement and Hybrid Cloud
• Seamlessly fuse dataflows between data centers
• Data center to data center,
• Remote location to data center,
• Data center to cloud
HDF
Between Data Centers
HDF
HDF
Remote to Data Center
HDF
HDF
HDF
HDF
Between Data Centers & Cloud
HDF
26 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
© Hortonworks Inc. 2011
Stream Processing
Page 26
Data Acquisition
Edge Processing
Real Time Stream Analytics
Rapid Application Development
IoT
ANALYTICS
CLOUD
Real World Use Cases
28 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Royal Mail’s Journey
Satisfied customers
with better service
levels & improved
retention
Actionable intelligence improves
customer experience
 Data management transformed to deliver
specific, actionable insights to line of
business departments
 Analysis delivered within days & weeks
rather than months per project deadlines
 Churn modelling project identified customers
at risk by vertical sector in order to take
preventative action
 Improved accuracy of delivery times for
business customers & highlighted trends
related to volumes of mail expected
 Governance & compliance simplified due to
central data platform
Satisfied customers
with better service
levels & improved
retention
P R E D I C T I V E
A N A L Y T I C S
A C T I V E
A R C H I V E
S I N G L E
V I E W
A C T I V E
A R C H I V E
S I N G L E
V I E W
E T L
O N B O A R D
D A T A
E N R I C H M E N T
P R E D I C T I V E
A N A L Y T I C S
D A T A
E N R I C H M E N T
Parcel
distribution
Customer
Acquisition
S I N G L E
V I E W
Customer
Support
Inventory
Predictions
Investment
Planning
Data-as-a-
Service
Public data
capture
Rapid
reporting
EDW offload
OPEX
reduction
Innovate
Renovate
New Data
Products
29 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Open Energi Uses HDF for Electricity Demand Response
As a result of its investment in Hortonworks
Dataflow, Open Energi is Already:
 Reducing costs thanks to 10-15% less data
being transmitted across a mobile
network
 Creating a full transparent trail for data
provenance that Open Energi can share
with customers
 Enabling line of business teams to
contribute to building dataflow rules and
processes
 Standardizing the output of data across
various end point devices
Open Energi: hortonworks.com/blog/data-fuel-open-energi-virtual-power-station-hortonworks-dataflow/
30 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Prescient Traveler transformed the travel risk
management market
$0.5MM
Savings in development costs due
to Hortonworks HDF
700%
Improvement in analyst
productivity in determining
actual threats
49,000
Number of data sources currently
being analyzed to identify threats
31 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Centrica’s Journey
1.3 Million
Smart Meters
EDW
Offload
Mobile App for
Customer Sites
Ingest 300
GB per Day
Product
Cross-Sell
Building a Data-Driven
Energy Utility Business
Self-service analytics for 3
million customers in UK & North
America
HDP and HDF simplify IT estate
Ingest of 300 GB/day
rationalizes maintenance work
Personalized customer
communications replaced
impersonal up-sell messages
Legacy EDWs decommisioned
Innovate
Renovate
Smart, Efficient
Homes
D A T A
D I S C O V E R Y
D A T A
E N R I C H M E N T
P R E D I C T I V E
A N A L Y T I C S
S I N G L E
V I E W
A C T I V E
A R C H I V E
E T L
O N B O A R D
SINGLE
VIEW
S I N G L E
V I E W
P R E D I C T I V E
A N A L Y T I C S
On-site customer
data capture
Optimized
engineering
schedule
Tailored
servicing
Customer
sentiment
Apache NiFi Case Studies:
Hadoop Summit San Jose
33 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
From Zero to DataFlow: http://www.slideshare.net/HadoopSummit/from-zero-to-data-flow-in-hours-with-apache-nifi-64032731
34 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Make Streaming Analytics Work For You
http://www.slideshare.net/HadoopSummit/make-streaming-analytics-work-for-you-the-devil-is-in-the-details
35 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Hadoop Summit Keynote: Apache Metron
Ingest log data into their cyber security data lake
https://youtu.be/Nffx8SKn7l4?t=1h37m50s
36 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Hadoop Summit Keynote: Improving Customer Experience
https://youtu.be/BY_0HB9uyXQ
Other HDF/Apache NiFi
Use Cases
38 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Data Hacks & Demos Keynote: Retail Simulation at Hadoop Summit
Live Voting, Electronic Conversation, Real-Time Facial Recognition
Intro, Demo 1, Demo 2, Demo 3, Demo 4.
https://www.youtube.com/watch?v=BY_0HB9uyXQ&feature=youtu.be&t=49m10s
39 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
GENIVI Alliance: Open Source, In-Vehicle Infotainment Software
The GENIVI Alliance is a nonprofit industry
alliance committed to driving the broad adoption
of specified, open source, In-Vehicle Infotainment
software.
40 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
More Use Cases
Using Apache NiFi to read children’s books” https://twitter.com/KayLerch/status/721455415456882689
41 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Yet More Use Cases
https://twitter.com/4everfusiongal/status/7351585225
39855872
https://www.linkedin.com/pulse/making-rain-apache-nifi-
jeremy-dyer?trk=prof-post
www.linkedin.com/hp/update/6138493082129149952
https://community.hortonworks.com/articles/30636/how-to-simulate-a-
sales-executive-with-hdf.html
42 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Even More Use Cases
https://community.hortonworks.com/articles/47854/accessing-facebook-
page-data-from-apache-nifi.html
https://community.hortonworks.com/content/kbentry/32605/runn
ing-nifi-on-raspberry-pi-best-practices.html
Accessing Facebook Data
43 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
And Even More Use Cases
https://community.hortonworks.com/articles/20318/visualize-patients-
complaints-to-their-doctors-usi.html
Visualize patients' complaints to their doctors
using NiFi and Solr/Banana
http://hortonworks.com/blog/qualcomm-hortonworks-showcase-
connected-car-platform-tu-automotive-detroit/
Connected Car
44 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Questions? Hortonworks Community Connection:
Data Ingestion and Streaming
https://community.hortonworks.com/
Contact Us:
http://hortonworks.com/contact-us/

Hortonworks Data In Motion Series Part 4

  • 1.
    Harnessing Data-in-Motion with HortonworksDataFlow A Paradigm Shift to Business as Usual: Real World Use Cases of Real-Time DataFlows in Record Time Anna Yong Product Marketing Haimo Liu Product Manager
  • 2.
    2 © HortonworksInc. 2011 – 2016. All Rights Reserved Agenda Overview of Hortonworks DataFlow (HDF) How HDF transforms data movement – months to minutes HDF Use Cases Real-World HDF Use Cases Apache NiFi Case Studies from Hadoop Summit Other Apache NiFi/HDF Use Cases
  • 3.
    3 © HortonworksInc. 2011 – 2016. All Rights Reserved Connected Data Platforms
  • 4.
    4 © HortonworksInc. 2011 – 2016. All Rights Reserved4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Payment Tracking Due Diligence Social Mapping Product Design M & A Call Analysis Machine Data Defect Detecting Factory Yields Customer Support Basket Analysis Segments Customer Retention Sentiment Analysis Optimize Inventories Supply Chain Cross- Sell Vendor Scorecards Ad Placement Cyber Security Disaster Mitigation Investment Planning Ad Placement Risk Modeling Proactive Repair Inventory Predictions Next Product Recs OPEX Reduction Historical Records Mainframe Offloads Device Data Ingest Rapid Reporting Digital Protection Data as a Service Fraud Prevention Public Data Capture INNOVATE RENOVATE E X PLO R E O PTIMIZE TR A NS FO R M ACTIVE ARCHIVE ETL ONBOARD DATA ENRICHMENT DATA DISCOVERY SINGLE VIEW PREDICTIVE ANALYTICS
  • 5.
    5 © HortonworksInc. 2011 – 2016. All Rights Reserved  Constrained  High-latency  Localized context  Hybrid – cloud / on-premises  Low-latency  Global context Core Infrastructure Hortonworks DataFlow Manages Data in Motion Regional InfrastructureSources
  • 6.
    6 © HortonworksInc. 2011 – 2016. All Rights Reserved Hortonworks DataFlow Manages Data in Motion Core InfrastructureSources  Constrained  High-latency  Localized context  Hybrid – cloud / on-premises  Low-latency  Global context Regional Infrastructure
  • 7.
    7 © HortonworksInc. 2011 – 2016. All Rights Reserved 451 Analyst Report on Stream Processing and Streaming Integration http://hortonworks.com/info/value-streaming-integration/
  • 8.
    8 © HortonworksInc. 2011 – 2016. All Rights Reserved Dataflow Management
  • 9.
    9 © HortonworksInc. 2011 – 2016. All Rights Reserved Problems Today: Timely Access to Data and Decisions http://diginomica.com/2016/04/22/royal-mail-starts-to-deliver-on-hortonworks-data-in-motion-promise “HDF helps us to streamline the flow of data and build models and visualisations quickly, so that my team can work iteratively with business colleagues on building solutions that work for the business.“ Royal Mail
  • 10.
    10 © HortonworksInc. 2011 – 2016. All Rights Reserved HDP HORTONWORKS DATA PLATFORM Powered by Apache Hadoop HDF Makes Big Data Ingest Easy Complicated, messy, and takes weeks to months to move the right data into Hadoop HDP HORTONWORKS DATA PLATFORM Streamlined, Efficient, Easy HDP HORTONWORKS DATA PLATFORM Powered by Apache Hadoop
  • 11.
    11 © HortonworksInc. 2011 – 2016. All Rights Reserved Hortonworks DataFlow, Powered by Apache NiFi. Demo Time
  • 12.
    12 © HortonworksInc. 2011 – 2016. All Rights Reserved Create a live dataflow in minutes How would that change your business?
  • 13.
    13 © HortonworksInc. 2011 – 2016. All Rights Reserved Add processor for data intake. Time: 1 minute 1 Drag and drop processor from top menu
  • 14.
    14 © HortonworksInc. 2011 – 2016. All Rights Reserved Choose the specific processor 2 Choose one of the processors – currently 170+ available
  • 15.
    15 © HortonworksInc. 2011 – 2016. All Rights Reserved Example: Pick Twitter Processor
  • 16.
    16 © HortonworksInc. 2011 – 2016. All Rights Reserved Configure the processor. Time: 2 minutes 3 4 Select processor and choose option to Configure Adjust parameters as required
  • 17.
    17 © HortonworksInc. 2011 – 2016. All Rights Reserved Another processor for data output. Time: 1 minute 5 6 Filter for and select a “Put” processor Drag and drop processor from top menu
  • 18.
    18 © HortonworksInc. 2011 – 2016. All Rights Reserved Configure second processor. Time: 1 minute 7 Configure 2nd processor
  • 19.
    19 © HortonworksInc. 2011 – 2016. All Rights Reserved Connect processors, configure connection. 2 minutes Configure Connection8 Note: Sample Flow is different from previous example of PutHDFS. This dataflow is PutFile. Same concepts apply.
  • 20.
    20 © HortonworksInc. 2011 – 2016. All Rights Reserved Click Start to Begin Processing. Time total: 7 minutes 9 Click start “play” to being processing (will run continuously until you select stop)
  • 21.
    21 © HortonworksInc. 2011 – 2016. All Rights Reserved HDF Use Cases
  • 22.
    22 © HortonworksInc. 2011 – 2016. All Rights Reserved Core Infrastructure Hortonworks DataFlow Use Cases Regional InfrastructureSources Dataflow Management • On-ramp into Hadoop • Log Collection / Splunk Optimization • Cyber Security • IoT Ingestion • Deliver data into stream processing engines Real-time Event Processing (Kafka, Storm) Move data between from on-prem and cloud environments
  • 23.
    23 © HortonworksInc. 2011 – 2016. All Rights Reserved Optimize Log Analytics with Content Based Routing
  • 24.
    24 © HortonworksInc. 2011 – 2016. All Rights Reserved IoT Data Ingestion Constrained High-Latency Localized Context Hybrid – Cloud/On-Premise Low-Latency Global Context Resolves real world connectivity and transmission issues often overlooked by assuming connectivity is always perfect
  • 25.
    25 © HortonworksInc. 2011 – 2016. All Rights Reserved Enterprise Data Movement and Hybrid Cloud • Seamlessly fuse dataflows between data centers • Data center to data center, • Remote location to data center, • Data center to cloud HDF Between Data Centers HDF HDF Remote to Data Center HDF HDF HDF HDF Between Data Centers & Cloud HDF
  • 26.
    26 © HortonworksInc. 2011 – 2016. All Rights Reserved © Hortonworks Inc. 2011 Stream Processing Page 26 Data Acquisition Edge Processing Real Time Stream Analytics Rapid Application Development IoT ANALYTICS CLOUD
  • 27.
  • 28.
    28 © HortonworksInc. 2011 – 2016. All Rights Reserved Royal Mail’s Journey Satisfied customers with better service levels & improved retention Actionable intelligence improves customer experience  Data management transformed to deliver specific, actionable insights to line of business departments  Analysis delivered within days & weeks rather than months per project deadlines  Churn modelling project identified customers at risk by vertical sector in order to take preventative action  Improved accuracy of delivery times for business customers & highlighted trends related to volumes of mail expected  Governance & compliance simplified due to central data platform Satisfied customers with better service levels & improved retention P R E D I C T I V E A N A L Y T I C S A C T I V E A R C H I V E S I N G L E V I E W A C T I V E A R C H I V E S I N G L E V I E W E T L O N B O A R D D A T A E N R I C H M E N T P R E D I C T I V E A N A L Y T I C S D A T A E N R I C H M E N T Parcel distribution Customer Acquisition S I N G L E V I E W Customer Support Inventory Predictions Investment Planning Data-as-a- Service Public data capture Rapid reporting EDW offload OPEX reduction Innovate Renovate New Data Products
  • 29.
    29 © HortonworksInc. 2011 – 2016. All Rights Reserved Open Energi Uses HDF for Electricity Demand Response As a result of its investment in Hortonworks Dataflow, Open Energi is Already:  Reducing costs thanks to 10-15% less data being transmitted across a mobile network  Creating a full transparent trail for data provenance that Open Energi can share with customers  Enabling line of business teams to contribute to building dataflow rules and processes  Standardizing the output of data across various end point devices Open Energi: hortonworks.com/blog/data-fuel-open-energi-virtual-power-station-hortonworks-dataflow/
  • 30.
    30 © HortonworksInc. 2011 – 2016. All Rights Reserved Prescient Traveler transformed the travel risk management market $0.5MM Savings in development costs due to Hortonworks HDF 700% Improvement in analyst productivity in determining actual threats 49,000 Number of data sources currently being analyzed to identify threats
  • 31.
    31 © HortonworksInc. 2011 – 2016. All Rights Reserved Centrica’s Journey 1.3 Million Smart Meters EDW Offload Mobile App for Customer Sites Ingest 300 GB per Day Product Cross-Sell Building a Data-Driven Energy Utility Business Self-service analytics for 3 million customers in UK & North America HDP and HDF simplify IT estate Ingest of 300 GB/day rationalizes maintenance work Personalized customer communications replaced impersonal up-sell messages Legacy EDWs decommisioned Innovate Renovate Smart, Efficient Homes D A T A D I S C O V E R Y D A T A E N R I C H M E N T P R E D I C T I V E A N A L Y T I C S S I N G L E V I E W A C T I V E A R C H I V E E T L O N B O A R D SINGLE VIEW S I N G L E V I E W P R E D I C T I V E A N A L Y T I C S On-site customer data capture Optimized engineering schedule Tailored servicing Customer sentiment
  • 32.
    Apache NiFi CaseStudies: Hadoop Summit San Jose
  • 33.
    33 © HortonworksInc. 2011 – 2016. All Rights Reserved From Zero to DataFlow: http://www.slideshare.net/HadoopSummit/from-zero-to-data-flow-in-hours-with-apache-nifi-64032731
  • 34.
    34 © HortonworksInc. 2011 – 2016. All Rights Reserved Make Streaming Analytics Work For You http://www.slideshare.net/HadoopSummit/make-streaming-analytics-work-for-you-the-devil-is-in-the-details
  • 35.
    35 © HortonworksInc. 2011 – 2016. All Rights Reserved Hadoop Summit Keynote: Apache Metron Ingest log data into their cyber security data lake https://youtu.be/Nffx8SKn7l4?t=1h37m50s
  • 36.
    36 © HortonworksInc. 2011 – 2016. All Rights Reserved Hadoop Summit Keynote: Improving Customer Experience https://youtu.be/BY_0HB9uyXQ
  • 37.
  • 38.
    38 © HortonworksInc. 2011 – 2016. All Rights Reserved Data Hacks & Demos Keynote: Retail Simulation at Hadoop Summit Live Voting, Electronic Conversation, Real-Time Facial Recognition Intro, Demo 1, Demo 2, Demo 3, Demo 4. https://www.youtube.com/watch?v=BY_0HB9uyXQ&feature=youtu.be&t=49m10s
  • 39.
    39 © HortonworksInc. 2011 – 2016. All Rights Reserved GENIVI Alliance: Open Source, In-Vehicle Infotainment Software The GENIVI Alliance is a nonprofit industry alliance committed to driving the broad adoption of specified, open source, In-Vehicle Infotainment software.
  • 40.
    40 © HortonworksInc. 2011 – 2016. All Rights Reserved More Use Cases Using Apache NiFi to read children’s books” https://twitter.com/KayLerch/status/721455415456882689
  • 41.
    41 © HortonworksInc. 2011 – 2016. All Rights Reserved Yet More Use Cases https://twitter.com/4everfusiongal/status/7351585225 39855872 https://www.linkedin.com/pulse/making-rain-apache-nifi- jeremy-dyer?trk=prof-post www.linkedin.com/hp/update/6138493082129149952 https://community.hortonworks.com/articles/30636/how-to-simulate-a- sales-executive-with-hdf.html
  • 42.
    42 © HortonworksInc. 2011 – 2016. All Rights Reserved Even More Use Cases https://community.hortonworks.com/articles/47854/accessing-facebook- page-data-from-apache-nifi.html https://community.hortonworks.com/content/kbentry/32605/runn ing-nifi-on-raspberry-pi-best-practices.html Accessing Facebook Data
  • 43.
    43 © HortonworksInc. 2011 – 2016. All Rights Reserved And Even More Use Cases https://community.hortonworks.com/articles/20318/visualize-patients- complaints-to-their-doctors-usi.html Visualize patients' complaints to their doctors using NiFi and Solr/Banana http://hortonworks.com/blog/qualcomm-hortonworks-showcase- connected-car-platform-tu-automotive-detroit/ Connected Car
  • 44.
    44 © HortonworksInc. 2011 – 2016. All Rights Reserved Questions? Hortonworks Community Connection: Data Ingestion and Streaming https://community.hortonworks.com/ Contact Us: http://hortonworks.com/contact-us/

Editor's Notes

  • #4 Hortonworks: Powering the Future of Data
  • #5 4
  • #6 Hortonworks: Powering the Future of Data
  • #7 Hortonworks: Powering the Future of Data
  • #10 Hortonworks: Powering the Future of Data
  • #11 10
  • #23 Hortonworks: Powering the Future of Data
  • #36 35