The Briefing Room with Mark Madsen and SQLstream
Live Webcast Mar. 12, 2013
The battle cry of “time to insight” continues to change the way organizations seek insights from their data, big and small. One increasingly popular strategy focus on analyzing data streams, ranging from social media to machine-generated data captured in logs. By focusing on the kind of continuous intelligence that can flow from such analysis, organizations can stay ahead of their competitors by seizing new opportunities, and often avoiding problematic disruptions.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature, as he explains how a new wave of technologies offers a compelling alternative to the traditional means for generating insights. He’ll be briefed by Damian Black of SQLStream who will explain how his company’s platform was designed to enable real-time analysis of multiple data streams. He’ll discuss how streaming analytics can remove the gap between traditional business intelligence and operational systems.
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2. Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
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3. Mission
! 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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6. Analyst: Mark Madsen
Mark Madsen is president
of Third Nature, Inc.
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7. SQLstream
! SQLstream is an enterprise software company focused on
making businesses responsive to real-time big data assets
! Its platform provides a relational stream for analyzing large
volumes of service, sensor, and machine and log file data
! SQL queries in SQLstream generate results continuously as
data becomes available
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8. Damian Black
Damian Black is the founder and CEO of
SQLstream, a pioneer in Streaming Big Data.
Damian has worked for almost two decades
in Silicon Valley, with senior roles in a variety
of companies including Hewlett-Packard,
Neustar, Xacct Technologies and Followap.
He has spoken at many conferences, and was
on GigaOM’s first Big Data panel in 2008.
Damian graduated from Manchester
University and was one of the first research
scientists to join HPLabs Europe. He was
selected for the International Management
Challenge in conjunction with the Financial
Times and Ashridge business school while at
Hewlett-Packard. Damian is the author of
eleven granted patents with five more
pending.
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38. About
the
Presenter
Mark
Madsen
is
president
of
Third
Nature,
a
technology
research
and
consul8ng
firm
focused
on
business
intelligence,
data
integra8on
and
data
management.
Mark
is
an
award-‐winning
author,
architect
and
CTO
whose
work
has
been
featured
in
numerous
industry
publica8ons.
Over
the
past
ten
years
Mark
received
awards
for
his
work
from
the
American
Produc8vity
Quality
Center,
TDWI,
and
the
Smithsonian
Ins8tute.
He
is
an
interna8onal
speaker,
a
contributor
at
Forbes
Online
and
Informa8on
Management.
For
more
informa8on
or
to
contact
Mark,
follow
@markmadsen
on
TwiMer
or
visit
hMp://ThirdNature.net
41. Transac.ons
vs.
Events
Transac8ons:
▪ Each
one
is
valuable
▪ The
elements
of
a
transac8on
can
be
aggregated
easily
▪ A
set
of
transac8ons
does
not
usually
have
important
ordering
or
dependency
Events:
▪ A
single
event
oUen
has
no
value,
e.g.
what
is
the
value
of
one
click
or
one
temperature
reading
in
a
series?
▪ Some
events
are
extremely
valuable,
but
this
is
only
detectable
within
the
context
of
other
events.
▪ Elements
of
events
are
oUen
not
easily
aggregated
▪ A
set
of
events
usually
has
a
natural
order
and
dependencies
42. General
model
for
organiza.onal
use
of
data
Collect Act on the process
new data Usually days/longer timeframe
Analyze Analyze
Monitor Decide Act
Exceptions Causes
No problem No idea Do nothing
Act within the process
Usually real-time to daily
43. You
need
to
be
able
to
support
both
paths
Analytics and BI
Collect
new data Act on the process
Analyze Analyze
Monitor Decide Act
Exceptions Causes
Act within the process
Streaming technologies
44. Different
Usage
Model
Than
Conven.onal
BI
A) Monitoring
and
detec8on
is
not
repor8ng
and
dashboards.
Self-‐service
BI
doesn’t
do
it
B) Lots
of
data,
decreasing
in
value
as
the
events
recede
in
8me
C) Analy8cs
oUen
required
to
surface
meaningful
events,
which
requires
collec8on
and
processing
of
(B)
to
process
in
real
8me
to
deliver
(A).
D) Actua8on:
machine
managed,
human
mediated
The
future
is
not
data
to
eyeballs,
its
machines
to
machines
45. Measurement
started
with
the
convenient
data
The
convenient
data
is
transac8onal
data.
▪ Goes
in
the
DW
and
is
used,
even
if
it
isn’t
the
right
measurement.
The
inconvenient
data
is
observa8onal
data.
▪ It’s
not
neat,
clean,
or
designed
into
most
systems
of
opera8on.
We
need
to
build
infrastructure
that
manages
and
enables
use
of
data
at
rest
and
data
in
mo8on.
46. Bridge
the
data
warehouse
to
other
uses:
SOA,
not
SQL
New
technologies
are
needed
to
extend
current
capability.
http://flickr.com/photos/higaara/228673603/
47. Ques.ons
1. Queues
and
streams
process
messages
and
objects.
How
is
that
made
SQL
compa8ble?
2. Why
SQL
when
the
standard
is
missing
temporal
constructs
for
this?
3. How
do
you
use
a
single
SQL
statement
across
mul8ple
streams
(i.e.,
scale
out
the
query)?
4. How
much
work
is
human-‐monitored,
vs.
human
no8fied,
vs.
machine
actuated?
How
big
is
this
problem,
really?
48. Ques.ons
5. What
about
playback?
How
do
you
replay
history
to
trace
an
event?
6. What
tooling
is
required?
Is
it
possible
to
add
stream
monitoring
and
use
exis8ng
BI
tools,
or
do
we
need
new
end
user
tools?
7. Linking
the
in-‐mo8on
to
the
sta8onary,
what
are
the
mechanisms?
49. About
Third
Nature
Third Nature is a research and consulting firm focused on new and
emerging technology and practices in analytics, business intelligence, and
performance management. If your question is related to data, analytics,
information strategy and technology infrastructure then you‘re at the right
place.
Our goal is to help companies take advantage of information-driven
management practices and applications. We offer education, consulting
and research services to support business and IT organizations as well as
technology vendors.
We fill the gap between what the industry analyst firms cover and what IT
needs. We specialize in product and technology analysis, so we look at
emerging technologies and markets, evaluating technology and hw it is
applied rather than vendor market positions.
52. Thank You
for Your
Attention
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