The Briefing Room with Mark Madsen and Trifacta Live Webcast September 1, 2015 Watch the archive: https://bloorgroup.webex.com/bloorgroup/onstage/g.php?MTID=eb655874d04ba7d560be87a9d906dd2fd Like all enterprise software solutions, Hadoop must deliver business value in order to be a success. Much of the innovation around the big data industry these days therefore addresses usability. While there will always be a technical side to the Hadoop equation, the need for user-friendly tools to manage the data will continue to focus on business users. That’s why self-service data preparation or "data wrangling" is a serious and growing trend, one which promises to move Hadoop beyond the early adopter phase and more into the mainstream of business. Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature explain why business users will play an increasingly important role in the evolution of big data. He’ll be briefed by Trifacta's Will Davis and Alon Bartur, who will demonstrate how Trifacta's solution empowers business users to “wrangle" data of all shapes and sizes faster and easier than ever before. They’ll discuss why a new approach to accessing and preparing diverse data is required and how it can accelerate and broaden the use of big data within organizations. Visit InsideAnalysis.com for more information.

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

2. The Briefing Room
The Role of Data Wrangling in Driving Hadoop Adoption

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

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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!
Mission

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Topics
September: HADOOP 2.0
October: DATA MANAGEMENT
November: ANALYTICS

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The Great Divide
Ø Close the Gap
Ø Empower Business Users
Ø Shift Focus of IT
Ø Developers are Third
Leg

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Analyst: Mark Madsen
Mark Madsen is president of Third Nature, a
technology research and consulting firm
focused on business intelligence, data
integration and data management. Mark is
an award-winning author, architect and
CTO whose work has been featured in
numerous industry publications. Over the
past ten years Mark received awards for his
work from the American Productivity &
Quality Center, TDWI, and the Smithsonian
Institute. He is an international speaker, a
contributor to Forbes Online and on the
O’Reilly Strata program committee. For
more information or to contact Mark, follow
@markmadsen on Twitter or visit http://
ThirdNature.net

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Trifacta
Trifacta offers a platform for data transformation
and preparation
The interface is rich in visualization and provides a
productive data wrangling capability
The platform also includes access to raw data in
Hadoop, providing analysts and data scientists with
secure, governed data

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Guests:
Will Davis
Director of Product Marketing, Trifacta
Alon Bartur
Principal Product Manager, Trifacta

10. Trifacta:
The Role of Data Wrangling
In Driving Hadoop Adoption

11. Variety = Data is Messy

12. When Data is Messy… Analysis is More Complicated
Question Analysis Insight

13. Messy Data Requires Data Wrangling
Question Analyze InsightDiscover Structure Clean Enrich Distill
Data Wrangling

14. The Bottleneck
DATA PRODUCT
Simplicity
DATA SOURCE
Complexity

15. The Bottleneck on Hadoop
Ingestion Storage Processing IT
ANALYSIS & CONSUMPTION
LOBBusiness System Data
Machine Generated Data
Third Party Data
Java
Python
R
Pig
etc…How do you move from here?
To here?
80%
of the work in any data
project is preparing the
data for analysis

16. Breakdown of Communication Between IT & LOB
LOB IT
How can I access the data in
Hadoop?
What do you want to analyze?
I can’t tell you until I see the data – let
me see the data first.
I can’t just point you to the raw data –
you’ll need to tell me.

17. Conventional Approaches Inhibit User Empowerment
Hand-Coding Technical Workflow Mapping

18. Bringing Hadoop to an Analyst’s Fingertips
““ JOHN, DATA ANALYST
I want direct access to the raw data so I can actually see the content of
different datasets to define my analytic requirements.
Wrangle Data Using
This?

19. 10
Empowering Analysts
Requires a
New User Experience

20. It’s All About The Experience
Interact
Predict
Preview

21. 12
Demo

22. Analyst Workflow on Hadoop
13
Register Hadoop Data Sets
in Trifacta
1.
HDFS
Visualize, Interact & Define Tr
ansformation Script
2.
HDFS
Execute Script on Entirety of Dat
a Set at Scale in Hadoop
3.
HDFS
Execution in Pig or Spark
Analytic ToolsAnalytic Tools
Select Transformation
Output Format & Location
4.
Analytic ToolsHadoop
HDFS
Parquet or Avro
Table in HCatalog
Tableau
R
Etc…

23. QUESTIONS?

24. SIGN UP FOR A FREE TRIAL AT
TRIFACTA.COM/TRIAL
THANK YOU!

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Perceptions & Questions
Analyst:
Mark Madsen

26. © Third Nature Inc.
Analyst
comments
and
ques0ons

27. Copyright
Third
Nature,
Inc.
Ideas
about
how
we
make
data
available
are
changing
Making
data
available
is
not
the
same
as
enabling
its
use

28. Copyright
Third
Nature,
Inc.
From
scarcity
to
abundance
All
the
data
Common,
typed,
tabular
data
The
bo9leneck
is
us

29. Copyright
Third
Nature,
Inc.
The
old
problem
was
access,
the
new
problem
is
analysis

30. © Third Nature Inc.
Changed
design
assump=on:
analysis
isn’t
read-­‐only
The
results
of
analysis
can,
o=en
do,
feed
back
into
the
system
from
which
they
originate.
Much
of
the
data
is
being
read,
wri9en
and
processed
in
real
@me.
Our
design
point
in
IT
was
not
changing
tables
and
ephemeral
pa9erns.

31. Copyright
Third
Nature,
Inc.
Schema
In
a
repor=ng
world
data
and
processing
are
bounded
No consideration for feedback loops and change
Processing only
happens here
Carefully
controlled
SQL only
access
Nobodycreates
newinformation
Sources few and
well understood
Complex DI
is controlled
by IT
Schemas are few
and designed
Tools are authorized,
few in number and
kind
One way flow

32. Copyright
Third
Nature,
Inc.
In
an
analysis
world
flow
is
unbounded
and
con=nuous
Feedback
loops allowed
End-of-analysis
dataset may be
start of a BI dataset
Continuous data
integration and delivery
Files are back as both
input and storage
Minimal
barrier of /
control on
collection
Areas of
provisioned
data
Any shape in,
rectangles out

33. Copyright
Third
Nature,
Inc.
The
model
and
reality
of
ETL:
one-­‐way
pipes
DI BI
Our methods tell us that data integration and analysis are
separate, and schema comes first as the point of
synchronization between them.
Schema

34. Copyright
Third
Nature,
Inc.
Schema
Data
isn’t
just
source
or
target,
it’s
a
con=nuum
Unusable data
that needs
engineering: ETL
Data that can be
used : BI
Fuzzy areas of data that need
engineering and / or composing:
exploration, blending & discovery

35. Copyright
Third
Nature,
Inc.
Food
supply
chain:
an
analogy
for
data
Mul@ple
contexts
of
use,
differing
quality
levels

36. Copyright
Third
Nature,
Inc.
Tools
were
designed
with
data
model
assump=ons
Sourcedata,modelcomplexity
SimpleComplex
Target data model
complexity
Simple Complex
Blending
Selectively linking and
changing data, producing
a simpler data model as
output
ETL
Multiple complex source
models, large complex
target model
Application integration
Basic movement of data
from one place to another,
minimal changes to data
Processing & Analytics
Deriving new data from a
relatively simple dataset
(like an event stream)

37. Copyright
Third
Nature,
Inc.
Some
ques=ons
to
start
discussion
1. Who
is
this
product
aimed
at:
end
users,
analysts
or
the
people
who
get
and
manage
data
for
others?
2. Can
you
get
data
from
places
other
than
Hadoop?
3. How
do
you
deal
with
WYSIWYG
data
prepara@on
when
the
dataset
is
very
large?
4. How
well
does
it
handle
small
datasets?
5. How
do
you
take
something
from
one-­‐@me-­‐process
to
a
repeatably
executed
process
in
a
produc@on
environment?
6. What
analysis
tool
integra@on
is
available?
7. What
maintenance
features
are
available?

38. Copyright
Third
Nature,
Inc.
CC
Image
AIribu=ons
Thanks
to
the
people
who
supplied
the
crea@ve
commons
licensed
images
used
in
this
presenta@on:
Tokyo
forum
-­‐
h9p://flickr.com/photos/fukagawa/2004106475/
klein_bo9le_red.jpg
-­‐
h9p://flickr.com/photos/sveinhal/2081201200/
donuts_4_views.jpg
-­‐
h9p://www.flickr.com/photos/le_hibou/76718773/

39. Copyright
Third
Nature,
Inc.
About
the
Presenter
Mark
Madsen
is
president
of
Third
Nature,
a
technology
research
and
consul@ng
firm
focused
on
business
intelligence,
data
integra@on
and
data
management.
Mark
is
an
award-­‐winning
author,
architect
and
CTO
whose
work
has
been
featured
in
numerous
industry
publica@ons.
Over
the
past
ten
years
Mark
received
awards
for
his
work
from
the
American
Produc@vity
&
Quality
Center,
TDWI,
and
the
Smithsonian
Ins@tute.
He
is
an
interna@onal
speaker,
a
contributor
to
Forbes
Online
and
on
the
O’Reilly
Strata
program
commi9ee.
For
more
informa@on
or
to
contact
Mark,
follow
@markmadsen
on
Twi9er
or
visit
h9p://ThirdNature.net

40. Copyright
Third
Nature,
Inc.
About
Third
Nature
Third Nature is a research and consulting firm focused on new and
emerging technology and practices in analytics, business intelligence,
information strategy and data 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 organizations solve problems using data. 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.

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Upcoming Topics
www.insideanalysis.com
September: HADOOP 2.0
October: DATA MANAGEMENT
November: ANALYTICS

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THANK YOU
for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons
and "Grand Canyon view from Pima Point 2010" by Chensiyuan - Own work. Licensed under GFDL via Commons
- https://commons.wikimedia.org/wiki/File:Grand_Canyon_view_from_Pima_Point_2010.jpg#/media/
File:Grand_Canyon_view_from_Pima_Point_2010.jpg