Top 5 IoT Use Cases

1© Cloudera, Inc. All rights reserved.
How Leading Organizations Are Using
Cloudera Enterprise to Derive Value from IoT
Top 5 IoT Use Cases
Vijay Raja| Solutions Marketing
Dave Shuman| Industry Lead for IoT

Internet of Things – A Revolution in the making
$1.7
Trillion
In Value
20%
Annual Growth
30 Billion
Things
IoT Markets - 2020
250
Million
Connected Vehicles
IoT Market
Source - IDC & Gartner Estimates Source - McKinsey

IoT – Key Drivers & Objectives
Drive Internal
Efficiencies
Improve Product
& Customer Exp.
New Services &
Business Models
• Predictive Maintenance
• Real-time monitoring
• Ops optimization
• Reduced equipment
down-times
• Product Usage Analytics
• Personalized products &
offerings
• Improved Product
Development
• New usage based
business models
• New service offerings
• E.g. On Command Connect
• Remote Monitoring
Who are my customers?
How are they using my products?
How can I lower downtime?
How can I drive efficiencies?
How do we implement a usage-based
model?
How can I launch new revenue streams?

2 PB of data/car/ year 1 – 2 TB of data / day 1 – 5 TB of data / day

IoT Data Characteristics
- The Foundation of Hadoop’s Potential
IoT data comes from a variety of different sources
• Massive volumes of intermittent data streams
• Generated from a variety of data sources
• Predominantly time-series
• Can come in streams (real-time) or batches
• Diverse data structures and schemas
• Some of it may be perishable
Combining sensor data with contextual data is the key to
value creation from IoT

The IoT Ecosystem & Architecture
IoT Gateway
Data Center
Gateway
• Data Routing
• Edge-Processing
• Edge-Storage
IoT Data Storage, Processing & Analytics
Centralized IoT Data Analytics
• Time Series Data, Trends
• Machine Learning
• Context Enrichment
• Deeper business insights
Distributed Data
Processing & Analytics
• Cloud & On-Premise
Cloud
Sensors/ Things
• Analytics at the edge
• For Immediate
response
IoT Analytics
Enterprise Data Sources

Polling Question - 1
Where is your organization in your IoT journey?
A. Not sure where to start
B. Currently exploring use cases
C. Implementing our first IoT use case
D. Already deployed first IoT use case
E. Multiple IoT use cases in production
(Single Choice)

A Platform That Just Won’t Stop Growing…
NEW PROJECTS
EXISTING PROJECTS
*CDH SUPPORTED
Core Hadoop
(HDFS,
MapReduce)
Solr
Pig
Core Hadoop
HBase
ZooKeeper
Solr
Pig
Core Hadoop
Hive
Mahout
HBase
ZooKeeper
Solr
Pig
Core Hadoop
Sqoop
Avro
Hive
Mahout
HBase
ZooKeeper
Solr
Pig
Core Hadoop
Flume
Bigtop
Oozie
HCatalog
Hue
Sqoop
Avro
Hive
Mahout
HBase
ZooKeeper
Solr
Pig
YARN
Core Hadoop
Spark
Tez
Impala
Kafka
Drill
Flume
Bigtop
Oozie
HCatalog
Hue
Sqoop
Avro
Hive
Mahout
HBase
ZooKeeper
Solr
Pig
YARN
Core Hadoop
Parquet
Sentry
Spark
Tez
Impala
Kafka
Drill
Flume
Bigtop
Oozie
HCatalog
Hue
Sqoop
Avro
Hive
Mahout
HBase
ZooKeeper
Solr
Pig
YARN
Core Hadoop
Knox
Flink
Parquet
Sentry
Spark
Tez
Impala
Kafka
Drill
Flume
Bigtop
Oozie
HCatalog
Hue
Sqoop
Avro
Hive
Mahout
HBase
ZooKeeper
Solr
Pig
YARN
Core Hadoop
Kudu*
RecordService*
Ibis*
Falcon
Knox
Flink
Parquet*
Sentry*
Spark*
Tez
Impala*
Kafka*
Drill
Flume*
Bigtop*
Oozie*
Hcatalog*
Hue*
Sqoop*
Avro*
Hive*
Mahout*
Hbase*
ZooKeeper*
Solr*
Pig*
YARN*
Core Hadoop*
2006 2008 2009 2010 2011 2012 20132007 2014 Present

FILESYSTEM RELATIONAL
Cloudera Enterprise – Making Hadoop Fast, Easy, and Secure
OPERATIONS
Cloudera Manager
Cloudera Director
DATA
MANAGEMENT
Cloudera Navigator
Encrypt and KeyTrustee
Optimizer
BATCH
Sqoop
REAL-TIME
Kafka, Flume
PROCESS, ANALYZE, SERVE
UNIFIED SERVICES
RESOURCE MANAGEMENT
YARN
SECURITY
Sentry, RecordService
FILESYSTEM
HDFS
RELATIONAL
Kudu
NoSQL
HBase
STORE
INTEGRATE
BATCH
Spark, Hive, Pig
MapReduce
STREAM
Spark
SQL
Impala
SEARCH
Solr
SDK
Partners
CLOUDERA ENTERPRISE

A Data Management Platform for IoT
Handle real-time
data ingest from
diverse sources
Fundamentally
Secure
Data Streams
Machine Learning
Capabilities
Diverse Analytical
OptionsCombine Data from Diff Sources
Scale easily & Cost
effectively
Batch or Real- time
Data Streams
A comprehensive data management platform to drive business insights from IoT data
Data Sources
Data Storage &
Processing
Serving, Analytics &
Machine Learning
Data Ingest
Connected Machines/
Data Sources
Enterprise Data Hub

The Cloudera Platform for IoT – Data Mgmt. Value Chain
Data Sources Data Ingest Data Storage & Processing
Serving, Analytics &
Machine Learning
ENTERPRISE DATA HUB
Apache Kafka
Stream or batch ingestion of IoT data
Apache Sqoop
Ingestion of data from relational sources
Apache Hadoop
Storage (HDFS) & deep batch processing
Apache Kudu
Storage & serving for fast changing data
Apache HBase
NoSQL data store for real time
applications
Apache Impala
MPP SQL for fast analytics
Cloudera Search
Real time searchConnected Things/ Data
Sources
Structured Data Sources Security, Scalability & Easy Management
Deployment Flexibility:
Datacenter Cloud
Apache Spark
Stream & iterative processing, ML

Cloudera Enterprise – Real Time Analytics for IoT
BI Solutions Real-Time AppsSearch EDWSQL Analytics Machine
Learning
Deployment
Flexibility
Spark Streaming
Leadership in Spark
Integrated with EDH
Flexible Storage
Store any and all Data.
Kudu - Fast Analytics on
Fast Data
Real-Time Data
Processing
Data Security
Four pillars of security: Perimeter,
Access, Visibility, and Data
+ Record Service
Streaming Ingest
Kafka & Flume - Real-Time
Data Ingest for streaming,
high volume data
Sensor/ IoT Data Internal Systems External Sources
Centralized Mgmt.
Cloudera Manager for
centralized cluster
management
Manage Multiple Clusters – On
Premise or Cloud environment
- On Premise or Hybrid Cloud
OPERATIONS
Cloudera Manager
Cloudera Director
DATA
MANAGEMENT
Cloudera Navigator
Optimizer
BATCH
Sqoop
REAL-TIME
Kafka, Flume
UNIFIED SERVICES
RESOURCE MANAGEMENT
YARN
SECURITY
FILESYSTEM
HDFS
RELATIONAL
Kudu
NoSQL
HBase
STORE
INTEGRATE
BATCH
Spark, Hive, Pig
MapReduce
STREAM
Spark
SQL
Impala
SEARCH
Solr
SDK
Partners

• High throughput for big scans
(columnar storage and replication)
Goal: Within 2x of Parquet
• Low-latency for short accesses
(primary key indexes and quorum design)
Goal: 1ms read/write on SSD
• Database-like semantics
(initially single-row ACID)
• Relational data model
• SQL query
• “NoSQL” style scan/insert/update (Java client)
Enable Time Series Analytics with Kudu

IoT Use Cases

IoT – Key Segments & Use Cases
Industrial IoT
Manufacturing
• Predictive Maintenance
• Operations Optimization
• Supply Chain Optimization
Healthcare
• Proactive & Connected Monitoring
• Early detection & Diagnosis
• Remote Measurements
Energy & Utilities
• Transmission & Distribution
• Smart-Grid & Smart Meters
• Ops & Predictive Maintenance
Govt. & Public Services
• Smart Cities
• Traffic Optimization
• Public Safety
Insurance
• Usage Based Insurance (UBI)
• Telematics for Insurance
• Insured Asset Management
Retail
• Automated Checkouts
• Footfall Analytics & Promos
• Inventory Optimization
Telecommunications
• Network Maintenance
• Connected Homes/ Cars
• Data Monetization
Mobility
• Telematics & Fleet Mgmt.
• Tracking & Remote Monitoring
• Condition Based Maintenance
Consumer IoT
Connected Cars
• Real-Time Diagnostics
• Remote Vehicle Management
• In-car Connectivity & Infotainment
Health & Lifestyle
• Wearables
• Health & Fitness Tracking
• Real-Time Remote Monitoring
Connected Homes
• Home Automation & Security
• Home Energy management
• Smart Appliances
Entertainment
• Interconnected Smart Devices
• Virtual Reality/ Interactive Gaming
• Drones

IoT Use Case 1:
Predictive Maintenance

Predictive Maintenance on Thousands of
Industrial Machinery in Real- Time
Challenge:
• Collect and analyze data from thousands
of diverse manufacturing systems in real-
time
Solution:
• iTrak application using Cloudera on Azure
to monitor the performance of individual
manufacturing systems in real-time
• Predictive Maintenance - Proactively
identifying & fixing issues before they
break
MANUFACTURING
» INDUSTRIAL IoT
» PREDICTIVE MAINTENANCE
» IMPROVED EFFICIENCIES
Industrial IoT – Predictive Maintenance
DATA-DRIVEN
PROCESS
CASE STUDY
DATA-DRIVEN
PRODUCTS

Predictive Maintenance on industrial-
grade turbines for hydro power stations
Challenge:
• Gather, store and analyze noise levels
from turbines for anomaly detection
Solution:
• Cloudera platform used to gather and
analyze acoustic data/audio files coming
from the turbines in real-time
• Using diagnostic solution to monitor the
health of turbines and predict failures
in advance
PREDICTIVE MAINTENANCE
» INDUSTRIAL IoT
» LOWERED DOWNTIME
» LOWERED COSTS
Predictive Maintenance - Turbines
DATA-DRIVEN
PROCESS
CASE STUDY
DATA-DRIVEN
PRODUCTS

Use Case 2:
Connected Vehicles

Using Predictive Maintenance to Improve
Performance and Reduce Fleet Downtime
Challenge:
• Monitor the health of 180,000+ trucks in
real-time in order to minimize downtime
Solution:
• OnCommand Connection collecting
telematics and geolocation data across
thousands of trucks
• Identify and correct engine problems
early, and increase fleet uptime
• Reduced maintenance costs to $.03 per
mile from $.12-$.15 per mile
Connected Vehicles & Telematics
DATA-DRIVEN
PROCESS
CASE STUDY
DATA-DRIVEN
PRODUCTS
TRANSPORTATION
» TELEMETRY
» LOWER TCO

WEBINAR: Enabling the Connected Car
Revolution
Date: Jan 25th
Time: 10 AM PT

Use Case 3:
Smart Cities & Smart Infrastructure

Enabling the State of Kentucky manage snow
and ice events in real time
Challenge:
• Kentucky Transportation Cabinet (KYTC) oversees
the state’s transportation system, which includes
27,000 miles of highways, 230 airports and
heliports, and more than three million drivers.
• Needed more efficient approach to inclement
weather road management
Solution:
• KYTC has built a real-time weather response system
that incorporates real-time data from Waze, HERE,
ESRI’s GeoEvent processor, and Automatic Vehicle
Locations (providing sensor data from salt trucks).
• KYTC aggregates 15-20 million records every day
and process more than a million records per
second.
Data Driven Dept. of Transportation
Source: http://www.routefifty.com/2016/09/data-drives-government/131821/
2016 Data Impact Award Winner
State of Kentucky Department of
Transportation

Using Sensors & IoT to Improve Passenger
Safety and Airport Efficiency
Challenge:
• Improve traveler satisfaction and safety,
by reducing downtime for critical
operational machinery
Solution:
• Cloudera on Azure to capture, secure,
and correlate sensor (IoT) data collected
from escalators, elevators, and baggage
carousels
• Provide necessary fixes to prevent
unplanned downtime
Smart Buildings - Preventative Maintenance
DATA-DRIVEN
PROCESS
CASE STUDY
DATA-DRIVEN
PRODUCTS
TRAVEL & TRANSPORTATION
» SMART BUILDINGS
» ADVANCED ANALYTICS

Use Case 4:
Connected Healthcare

Improve Parkinson's Disease Monitoring
and Treatment through IoT
Challenge:
• Collect and analyze data from wearables
(more than 300 readings per second)
from thousands of patients in real-time
Solution:
• Cloudera on Intel architecture to detect
patterns in patient data streaming from
thousands of wearables
• Continuously monitor the patients and
symptoms to accelerate breakthrough on
drug development
HEALTHCARE
» WEARABLES
» PREDICTIVE ANALYTICS
» IMPROVED CARE
Connected Healthcare
DATA-DRIVEN
PROCESS
CASE STUDY
DATA-DRIVEN
PRODUCTS

Use Case 5:
Connected Products & Analytics

Measure user interaction across the
ecosystem, help direct R&D and
development spend
• Real-time streaming and batch data
from product logs, web analytics,
channel data and ERP
• Virtuous cycle: Identify features that
facilitate sharing of content that drive
new customers
• Analyze utilization of new community
attributes that drive adoption
MANUFACTURING
» CUSTOMER 360
» DATA DRIVEN PRODUCTS
» DATA DRIVEN SERVICES
DATA-DRIVEN
PRODUCTS

Powering a Variety of IoT Use Cases…
Connected Vehicles
Usage Based Insurance
Industrial IoT
Predictive Maintenance
Smart Ports Oil & Gas
Aerospace & Aviation Smart Healthcare

WEBINAR: Enabling the Connected Car
Revolution
Date: Jan 25th
Time: 10 AM PT

Thank You

Getting Started is Easy
1. 2.
Download or Deploy
in the Cloud
Sign up for Training Contact us or a Partner
to Start a POC
3.

Cloudera Enterprise – Hadoop as a Data Platform for IoT
Sensors/ IoT
Data Sources
Internal Systems External Sources
BI Solutions Real-Time AppsSearch EDWSQL Analytics
Machine
Learning
Data Center
Cloud
Sensor/ IoT Data
IoT Gateway
• Data Storage
• Data Processing
• Machine Learning
• Real-time Analytics
OPERATIONS
Cloudera Manager
Cloudera Director
DATA
MANAGEMENT
Cloudera Navigator
Optimizer
BATCH
Sqoop
REAL-TIME
Kafka, Flume
UNIFIED SERVICES
RESOURCE MANAGEMENT
YARN
SECURITY
FILESYSTEM
HDFS
RELATIONAL
Kudu
NoSQL
HBase
STORE
INTEGRATE
BATCH
Spark, Hive, Pig
MapReduce
STREAM
Spark
SQL
Impala
SEARCH
Solr
SDK
Partners

Cloudera – IoT Technical Architecture
IoT Framework
Data Ingestion
(Kafka, Flume)
Data Transformation
and Enrichment
Data Processing &
Serving
Rule Mining, Pattern
Matching, Machine Learning
Distributed Data
Analytics
Data
Visualization
Data Storage
(Hbase, HDFS, Kudu)

Top 5 IoT Use Cases

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