The Briefing Room with Dr. Robin Bloor and WebAction Live Webcast on July 23, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes. Visit InsideAnlaysis.com for more information.

1. Grab some coffee and enjoy the pre-show
banter before
the top of the
hour!

2. Take Action: The New Reality of Data-Driven Business
The Briefing Room

3. Twitter Tag: #briefr
The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh

4. ! Reveal the essential characteristics of enterprise software,
good and bad
! Provide a forum for detailed analysis of today’s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and get
answers!
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The Briefing Room
Mission

5. This Month: INNOVATIVE TECHNOLOGY
August: BIG DATA ECOSYSTEM
September: INTEGRATION & DATA FLOW
Twitter Tag: #briefr
The Briefing Room
Topics
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room

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The Briefing Room
Executive Summary
The definition of “real-time” is changing:
Should we call it customer time?
A stitch in time
saves nine…
We have
reached an
inflection point!

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The Briefing Room
Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor

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WebAction
! WebAction offers real-time data-driven apps and the
underlying enterprise platform
! The platform captures structured and unstructured data
from a wide variety of data sources and allows users to
correlate and enrich data streams
! WebAction leverages in-memory data processing and is
architected to scale up and scale out

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Guest: Sami Akbay
Sami Akbay is a founder of WebAction. Prior to
WebAction, he served as the CEO of Altibase,
Inc., an in-memory RDBMS company with
customers in financial services, utilities, and
telecommunications. Sami was Vice President of
Marketing and Product Management for
GoldenGate Software from 2004 through its
acquisition by Oracle. Prior to GoldenGate, he
served in senior product marketing and business
development roles at Embarcadero and AltoWeb.
He spent his earlier career in technical and
consulting roles working at Rabobank
Nederlands, Hearst New Media, American Stock
Exchange, MediaMetrix, OneMain.com
(Earthlink), and ALK Associates. He is a graduate
of Rutgers University.

10. The Future of Data Driven Apps
July 2014

11. WebAction® delivers the leading
Real-time App Platform
enabling the next generation of
Data Driven Apps
for the Agile Enterprise

12. Proactive
WebAction – Streaming Data – Continuous Processing
Reactive
Historical Data – Batch Processing
Load data
into cluster
PRIOR to running
analytic queries
Write MR jobs -
Time delay before
data processing
and analysis
Efficient for
BATCH oriented
workloads
WebAction collects
Big Data from the
sources, converts it
into DATA
STREAMS
Processes data in
REAL-TIME
Minimizes latency
ALERTS
based on
LIVE DATA

13. Acquire Store Process
Batch Reactive
BI /
RDBMS EDW Analytics
Structured
Data
Machine
Data
Click Location
Stream
Structured
Data
Machine
Data
Visualize Store
Real-time Proactive
Click Location
Stream
REALTIME BARRIER
Data Driven
Apps
Alerts Integrate
Acquire Process in Memory Deliver

14. Acquire
Structured and
unstructured data
Process
Distributed,
in-memory,
as data is created
Deliver
Correlated,
enriched, and
filtered real-time
big data records

15. Acquire
Structured and
unstructured data
§ Data from transactional sources is acquired
via redo or transaction logs
§ Structured and non-Structured data
§ No Production Impact
§ No Application changes
Common File
Format
Social Feeds
System/ IT Data
Device Data
Industry Data
Real-time
Transaction Data
TYPE EXAMPLE COMPLEXITY
CSV, JSON, XML
Facebook, Twitter
Syslogs, weblogs, Netflow
SmartMeter, Medical Device, RFID
SWIFT, HL7, FIX
Oracle, DB2, SQLServer, MySQL, HP NonStop
SIMPLE
SIMPLE TO MEDIUM
MEDIUM
MEDIUM
HIGH
VERY HIGH

16. Process
Distributed,
in-memory,
as data is created
§ Enrich live Big Data with historical data sources
§ Process Big Data faster using partitioned streams,
caches, and additional nodes
§ Execute SQL-like queries of in-memory Big Data
§ Alert in real-time based on predictive analytic
model results
Acquire
Structured and
unstructured data

17. Acquire
Structured and
unstructured data
Process
Distributed,
in-memory,
as data is created
Deliver
Correlated,
enriched, and
filtered real-time
big data records
§ Continuous Big Data Records
§ Real-time Dashboards & Visualizations
§ Predictive Alerts
§ Business Trends
§ Data Patterns
§ Outliers & Anomalies

18. Historical
Data Cache
Node
Node
Node
Distributed DIM
Processor
Distributed
WAction Cache
Metadata
High Speed Data Acquisition
WActionStore
Tungsten Visualization
Transaction Data
Social Feeds
Device Data
RDBMS
Big Data
Infrastructure
Industry Data
Enterprise
Applications
Enterprise Data
Warehouse
Data Driven Apps
System/ IT Data

19. § Integrated end-to-end solution for real-time data acquisition, in-memory analytics,
event correlation, and relevant data storage
§ Supports transactional and non-transactional data sources
§ Scalable, High Performance distributed stream processing
§ Supports low-impact, non-intrusive capture from transactional databases
§ Processing in-memory, delivering real-time results via applications that can
Incorporate predictive analytics (linear regression, FFT, clustering, etc.) models.
§ Runs on inexpensive commodity hardware, easily allowing horizontal scaling by
adding nodes on the same or multiple machines.
§ Declarative configuration, Continuous querying capability
§ Real-time visualizations, monitoring, alerts, and integration

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The Briefing Room
Perceptions & Questions
Analyst:
Robin Bloor

21. Data-Driven
Things?
Robin Bloor, PhD

22. Everything
EVERYTHING that is ALIVE
is Data-Driven

23. Big Data Architecture

24. The Biological Analogy
u Our human control system
works at different speeds:
• Operational control
• Almost instant reflex
• Considered response
u Organizations will
gradually implement
similar control systems
u This suggests a data-flow-based
architecture

25. Nervous System(s)
u Mentation
• The Brain
u Fight or Flight
• Sympathetic Nervous
System
u Operational Control
• Enteric Nervous System
• Parasympathetic Nervous
System
Note that these three systems
integrate. It would be bad
news if they didn’t.

26. The Corporate Biological System
u Right now this division
into two different data
flows is already occurring
u Currently we can
distinguish between:
• Real-time/Business time
applications
• Analytical applications
u We should build specific
architectures for this

27. u Is there any significant distinction between
WebAction’s technology and what was previously
called complex event processing?
u How would you compare WebAction with Apache
Storm? Is it directly competitive?
u How would you compare WebAction with Splunk?
u What do you see as the sweet spot for this
technology? Dashboards? Real-time triggers?
Streaming analytics?

28. u What is the typical process for developing
predictive analytics applications?
u Please provide some examples of usage/ user
application stories.

29. Twitter Tag: #briefr
The Briefing Room

30. This Month: INNOVATIVE TECHNOLOGY
August: BIG DATA ECOSYSTEM
September: INTEGRATION & DATA FLOW
www.insideanalysis.com/webcasts/the-briefing-room
Twitter Tag: #briefr
The Briefing Room
Upcoming Topics
2014 Editorial Calendar at
www.insideanalysis.com

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THANK YOU
for your
ATTENTION!
The Briefing Room