Speakers: David Menninger, SVP and Research Director, Ventana Research + Joanna Schloss, Analytics, Data and Information Management Subject Matter Expert, Confluent Can your organization react to customer events as they occur? Can your organization detect anomalies before they cause problems? Can your organization process streaming data in real time? Real time and event-driven architectures are emerging as key components in developing streaming applications. Nearly half of organizations consider it essential to process event data within seconds of its occurrence. Yet less than one third are satisfied with their ability to do so today. In this webinar featuring Dave Menninger of Ventana Research, learn from the firm’s benchmark research about what streaming data is and why it is important. Joanna Schloss also joins to discuss how event-streaming platforms deliver real time actionability on data as it arrives into the business. Join us to hear how other organizations are managing streaming data and how you can adopt and deploy real time processing capabilities. In this webinar you will: -Get valuable market research data about how other organizations are managing streaming data -Learn how real time processing is a key component of a digital transformation strategy -Hear real world use cases of streaming data in action -Review architectural approaches for adding real time, streaming data capabilities to your applications Watch the recording: https://videos.confluent.io/watch/AoXiYayC1s23awqJBcQvPZ?

1. Five Trends in
Real Time Applications
David Menninger
SVP & Research Director
Ventana Research
@ventanaresearch In/ventanaresearchblog.ventanaresearch.com @dmenningerVR
Joanna Schloss
Subject Matter Expert
Confluent
July 2018
© 2018 Ventana Research

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© 2018 Ventana Research

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5. Five Trends in
Real Time Applications
David Menninger
SVP & Research Director
Ventana Research
@ventanaresearch In/ventanaresearchblog.ventanaresearch.com @dmenningerVR
Joanna Schloss
Subject Matter Expert
Confluent
July 2018
© 2018 Ventana Research

6. © 2018 Ventana Research
© 2018 Ventana Research
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7. Agenda
• Background
• Five trends in real time applications
• Architecting real time solutions
• Use Cases
• Recommendations
© 2018 Ventana Research
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8. David Menninger
SVP & Research Director
• Responsible for the overall research direction of data,
information and analytics technologies at Ventana Research.
• Covers Analytics, Big Data, Business Intelligence and Information
Management along with the additional specific research
categories including IT Performance Management and IoT.
• Has over twenty-five years of experience bringing leading edge
data and analytics technologies to market.
• Previous roles:
- Head of Business Development & Strategy at Pivotal
(Dell/EMC)
- VP of Marketing and Product Management at Vertica, Oracle,
Applix, InforSense and IRI Software.
@dmenningerVR
© 2018 Ventana Research
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Joanna Schloss, Subject Matter Expert
• Joanna Schloss is a subject matter expert in analytics,
data and information management, and drives product
marketing tactics and strategy as director of product
marketing at Confluent.
• Her areas of expertise include real time streaming, big
data analytics, business intelligence, business analytics
and data warehousing.
• With a blend of experience in both startup and G500
environments, Joanna has successfully launched a
myriad of products, from business-focused analytic
applications to data movement platforms.

10. Background
Ventana Research has surveyed thousands
of organizations on their use of technology.
Many of the findings today are from our
Data Lake and Internet of Things research
projects.
Other relevant research we may reference
include:
- Data Preparation
- Big Data Analytics
© Copyright Ventana Research 2016 Do Not Redistribute Without Permission
RESEARCH
REPORT
The Internet of Things
Exploring How Real-Time Data and Analytics
Enable Operational Intelligence
© Copyright Ventana Research 2016 Do Not Redistribute Without Permission
RESEARCH
REPORT
The Internet of Things
Exploring How Real-Time Data and Analytics
Enable Operational Intelligence
Dynamic Insights:
Data Lakes
RESEARCH
REPORT
The Internet of Things
© 2018 Ventana Research
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© 2018 Ventana Research
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Organizations, In Software

13. • Nearly half (46%) of all
organizations said that low-
latency, near-real-time response
(in milliseconds or seconds) is
essential to their IoT efforts.
• More than three-quarters (78%)
expect to be able to perform
real-time analytics within two
years.
• Speeding the flow of
information is crucial to more
than nine-in-ten organizations.
Trend #2: Real Time is Becoming Essential
© 2018 Ventana Research
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Request-Response Applications
Deterministic
Rigid
Tight coupling
App
Service
Service
Service Service
Service
Service
Service
Service
App

15. • Today data at rest is the
norm.
• In the near future data in
motion will be the norm.
• Data architectures and
business operations will be
centered around streaming
data.
• Streaming data platforms
are needed.
Trend #3: Streaming Data Requires a Different Approach
© 2018 Ventana Research
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Event-Driven Applications
App
App
Developer
APIs
Service
Service
Responsive
Flexible
Extensible
Service
Service
Service
Streaming
Platform

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Pre-Streaming -> Event-Driven
Request-Response Event-Driven

18. Our research finds a correlation between
cloud computing and event- based
implementations.
• 47 percent of participating organizations are
using cloud computing.
• Nearly two in five (39%) process IoT messages
or events in the cloud.
Research shows higher levels of satisfaction
with cloud-based systems.
• Nearly three-quarters (73%) of those with
cloud-based deployments are satisfied or
somewhat satisfied
• Compares with 55 percent of those that do not
use the cloud.
Trend #4: Cloud-based Architectures Will Grow
© 2018 Ventana Research
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19. 1919
A Distributed Streaming Platform
STREAMING PLATFORM

20. • IT Typically defining which
events to capture.
• Satisfaction rates are highest
when customers and external
business partner define
events.
• Front-line workers produce
next highest levels of
satisfaction.
Trend #5: Business Stakeholders Will Define Events to Capture
© 2018 Ventana Research
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21. • Ability to capture and
process streams at scale.
• Publication / subscription
model.
• Persistence within and
without the platform.
• Analysis of data before it is
persisted.
Architectural Requirements for Streaming Data
© 2018 Ventana Research
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What’s needed: Think in terms of events and event streams

23. Use Cases
Trend 1: Streaming Data Becomes a Standard
Part of Big Data Deployments
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24. Manufacturing
• Inventory / material tracking
- Reduce inventory costs
- Improve quality
• Asset monitoring / predictive
maintenance
- During production
- Post production
• Environmental monitoring
- Ambient conditions
- Remote monitoring
Industrial Manufacturing Reinvented by IoT
© 2018 Ventana Research
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25. One Bank A Unified Vision
Logs Apps User Data ...
Real-time Customer Communication
Powered by Kafka
Real-time Fraud Detection
Powered by Kafka
Why Kafka matters
to ING?
- Exactly-once
guarantees
- Zero data loss
- Battle-tested at
scale
Future Payments Engine
To be powered by Kafka’s
Exactly-once semantics
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26. Use Cases
Trend 2: Real Time is Becoming Essential
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The Future of the Automotive Industry is a Real-Time Data Cluster
Ingest Egress
to car
AI/ML Monitoring
Infrared Camera
Rear view assistance with
Pedestrian recognition
Front and Rear Radar Sensors
ACC with stop and go function
Side assist
Front, rear and top
view cameras
Parking assistant
Environment pointer
Ultrasonic Sensors
Parking assistant with front
and rear camera
Parking assistant with
environment indicator
Crash Sensors
Speed limit indicator
Front protection adaptivity
Side protection
Tail Impact protection
Value is migrating from the engine to the data cluster

29. Use Cases
Trend 3: Streaming Data Requires a Different
Approach
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30. • Entire model is based on
streaming data.
• Can’t operate on batches of
last night’s data
- Request/response model.
- Enhance the request /
response via analysis.
• Scale as important as speed.
• No longer a niche; world is
evolving to “click & mortar”.
Online Services
© 2018 Ventana Research

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A Streaming Platform, Imagined in Retail
Real Time.
Global.
Event oriented.

32. Use Cases
Trend 4: Cloud-based Architectures Will Grow
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33. Supply Chain & Logistics
• Supply chain efficiency
- Real time inventory status
- Online/automated ordering
• Optimize logistics
- “Uber” of third party logistics
- Routing & refueling
- Driver health & safety
- Asset monitoring
Multiparty Supply Chain Activities Enhanced by Cloud
© 2018 Ventana Research

34. 5.2 Million Citizens
Norwegian Work and
Welfare Administration
Life is a Stream of Events
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35. Use Cases
Trend 5: Business Stakeholders Will Define
Events to Capture
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36. Healthcare
• Quality of outcomes
- Patient monitoring: what to
monitor.
- Automatic dosages: signs of
averse affects.
• Efficiency / utilization
- Workflow optimization
(of people & medical devices):
defining progress points in
procedures.
Healthcare Use Cases Require Clinicians’ Input
© 2018 Ventana Research
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Streaming Platform Transforming Health Care
Through the development of digital tools and genetic
insights focused on fertility, Celmatix is disrupting how
women approach their lifelong reproductive health
journey by empowering them and their physicians with
more personalized information.
Celmatix implemented a streaming platform to stream
Electronic Medical Record data securely and in real time
to help doctors and patients make data-informed
decisions faster.
Results
● Harmonized and managed disparate data.
● Achieved market differentiation with the ability to
scale and expand.
● Enables access to vast and disparate data in real
time.

38. 3838
Typical Streaming Adoption Model
Enterprise
Streaming Pilot /
Early Production
Pub + Sub Store Process
Developer
Interest
Global
StreamingMission
Critical,
Integrated
Streaming
Central Nervous
System

39. • Consider a streaming centric
approach.
• Identify opportunities to
transform the business with
real time data.
• Have business users define
event streams to capture.
• Adopt a platform that
supports your current
requirements and can grow
over time.
Recommendations
© 2018 Ventana Research
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40. Q&A
© 2018 Ventana Research
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Thank You
To learn more, visit us at www.confluent.io
@confluentinc www.confluent.io/blog In/confluent

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Questions?
Twitter
@ventanaresearch / @dmenningerVR
LinkedIn
http://www.linkedin.com/company/ventana-research
http://www.linkedin.com/in/davidmenninger/
Analyst Perspectives
http://davidmenninger.ventanaresearch.com/
Electronic Mail
david.menninger@ventanaresearch.com
© 2018 Ventana Research

43. Five Trends in
Real Time Applications
David Menninger
SVP & Research Director
Ventana Research
@ventanaresearch In/ventanaresearchblog.ventanaresearch.com @dmenningerVR
Joanna Schloss
Subject Matter Expert
Confluent
July 2018
43