The Briefing Room with Dr. Robin Bloor and Actian Live Webcast August 6, 2013 http://www.insideanalysis.com With all the innovations in compute power these days, one of the hardest hurdles to overcome is the tendency to think in old ways. By and large, the processing constraints of yesterday no longer apply. The new constraints revolve around the strategic management of data, and the effective use of business analytics. How can your organization take the helm in this new era of analysis? Register for this episode of The Briefing Room to find out! Veteran Analyst Wayne Eckerson of The BI Leadership Forum, will explain how a handful of key innovations has significantly changed the game for data processing and analytics. He'll be briefed by John Santaferraro of Actian, who will tout his company's unique position in "scale-up and scale-out" for analyzing data.

1. The Briefing Room
Analytic Excellence: Saying Goodbye to Old Constraints

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

3. Twitter Tag: #briefr The Briefing Room
! 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

4. Twitter Tag: #briefr The Briefing Room
Topics
This Month: ANALYTIC PLATFORMS
September: ANALYTICS
October: DATA PROCESSING

5. Twitter Tag: #briefr The Briefing Room
Analytic Platforms
Analytic Excellence:
Saying Goodbye to Old Constraints

6. Twitter Tag: #briefr The Briefing Room
Analyst: Wayne Eckerson
Wayne Eckerson has been a thought leader in the data
warehousing, business intelligence and performance
management fields since 1995. He has conducted
numerous in-depth research studies and is the author of
the best-selling book “Performance Dashboards:
Measuring, Monitoring, and Managing Your Business.” He is
a noted keynote speaker and blogger, and he consults and
conducts workshops on business analytics, performance
dashboards, and business intelligence, among other topics.
For many years, Wayne served as director of education and
research at The Data Warehousing Institute (TDWI).Wayne
is also a principal consultant at BI Leader Consulting and a
founder of BI Leadership Forum. Wayne is also director of
research at TechTarget.
He can be reached at weckerson@bileader.com.

7. Twitter Tag: #briefr The Briefing Room
! Actian is a database and software development company
that has recently made some tactical acquisitions
! Actian offers the ParAccel Big Data Analytics Platform,
which includes an analytic database, an extensibility
framework, on-demand integration and integrated analytics
! The database engine behind the Platform is fully columnar
and leverages a shared-nothing architecture
Actian

8. Twitter Tag: #briefr The Briefing Room
Guest: John Santaferraro
John Santaferraro is the Vice President of Product
Marketing at Actian. Prior to joining Actian, Santaferraro
was an independent industry analyst in the business
intelligence and analytics market. Before that he
developed and executed a vertical market strategy for
Hewlett Packard's BI group, focusing on energy,
communications, retail, healthcare and financial services;
he was also instrumental in helping establish HP’s new BI
business group with a combination of solutions, products
and consulting. In 2000, John founded a marketing and
sales consulting company, Ferraro Consulting, providing
business acceleration strategy for technology companies.

9. Unconstrained Analytics
ParAccel Big Data Analytics Platform
John Santaferraro
Vice President of Marketing, ParAccel Platform Group
August 5, 2013

10. Agenda
§ The Age of Data
§ Unconstrained Analytics
§ ParAccel Big Data Analytic Platform
10Confidential © 2013 Actian Corporation

11. 11
The Age of Data
- Where Data and Algorithms Collide
Confidential © 2013 Actian Corporation

12. Free Your Analysts
12Confidential © 2012 Actian Corporation
Unconstrained Analytics
Load and Go
Run Ad Hoc Queries
Query Any Time
Query Any Data
Query All Data
Run Any Analytics
Execute Sophisticated Analytics
Return Results Quickly
Iterate Quickly Through Discovery
Share Workloads With Any Platform
Support All Analysts
Run Many Applications
Create Analytic Services

13. Support Entire Ecosystems of Analytics
13Confidential. Do not Distribute.
Customer
Churn
Support
cost
analytics
Campaign
ROI
Profitability
Customer
value
Cross-sell
Customer
retention
Customer
experience
Profiling
Market
trends
Up-Sell
Average
order
size
Segmentation
Channel
management
Churn
models
Decision
management
Social
media
analytics
Partner
managementCustomer
satisfaction
Communication
management
Unconstrained Customer Analytics

14. Support the Entire Analytic Process
14Confidential © 2013 Actian Corporation
Connect Prepare AnalyzeOptimize
DATA VALUE

15. ParAccel Big Data Analytics Platform
15
Confidential © 2013 Actian Corporation
› On-demand
integration
› In-advance
integration
› In-flight
preparation
› In-Hadoop
preparation
› In-database
preparation
› Database
optimizations
› Hardware
optimizations
› Dataflow
optimizations
› In-database
analytics
› HDFS-based
analytics
Business Intelligence
Analytics
Enterprise
Social
New Data
Applications DW
www Mobile
Machine
Data
High-Performance BI
High-Performance
Analytics
Connect Prepare AnalyzeOptimize
DATA VALUE
The highest performing analytic platform with the most
comprehensive analytic capabilities for the full big data landscape
from point applications to enterprise-scale deployments.

16. Highest Performing Analytic Platform
In-Memory Option: Lock all data and processes to run in-memory
I/O Optimization
Intelligent Prefetch, Intelligent Caching of Data In-Memory
Communication Optimization
Packet delivery optimized for analytics, low overhead, plus Virtual Hotwire
Parallel Processing
Each node processes, pipelines, and leverages both columnar & compression
Workload Management
Establish query classes for long, short, and interactive queries
Compiled Queries
Queries compiled to run within the database on each individual node
In-Database Analytics
Store and run SQL, aggregate, and analytic functions in the database application
Execution Optimization
Final optimization based on resources available
Planning Optimization
Choose the best from up to competing plans based on costing model
SQL Optimization
Extreme SQL Support with breakdown into 2000 segments, MPP and data-aware
Parallel Loading
1TB per node, per hour, up to 100 nodes, without complex data preparation
16Confidential. Do not Distribute.

17. Most Cooperative Analytic Processing
Business
Intelligence
and
Repor3ng
Tools
Advanced
Analy3cs
Analy3c
Applica3ons
Machine
Data
Opera3onal
Data
3rd
Party
Info
Provider
Streaming
Data
Logs
ParAccel
PlaBorm
On
Demand
Integra3on
Enterprise
Data
Warehouse
Hadoop
Big
Data
Apps
Embedded
Analy3cs

18. Big Data Bottlenecks
18Confidential © 2012 Actian Corporation
Prepare
profile
match
cleanse
aggregate
audit
Analyze
sample
model
discover
visualize
predict
Consume
report
chart
dashboard
alert
act
Connect
monitor
log
ingest
event
capture
decrypt

19. ParAccel Dataflow Parallelizes Everything
19Confidential © 2012 Actian Corporation
Prepare
profile
match
cleanse
aggregate
audit
Analyze
sample
model
discover
visualize
predict
Consume
report
chart
dashboard
alert
act
Connect
monitor
log
ingest
event
capture
decrypt

20. ParAccel Dataflow Parallelizes Everything
20Confidential © 2012 Actian Corporation
Prepare
profile
match
cleanse
aggregate
audit
Analyze
sample
model
discover
visualize
predict
Consume
report
chart
dashboard
alert
act
Connect
monitor
log
ingest
event
capture
decrypt
File Support
Windows
Linux
HDFS
Amazon S3

21. ParAccel Dataflow Engine
and Hadoop Analytics
- a framework that allows you
to develop ETL and analytics
visually on Hadoop (or other file systems)
but requires no knowledge of MapReduce
or parallel programming to use
21Confidential © 2013 Actian Corporation

22. Operator Library
22

23. Using ParAccel Dataflow Engine
23

24. What Does ParAccel Platform Mean to You?
24Confidential © 2013 Actian Corporation
Differentiation
• Highest Performing
Analytic Platform
• Most Comprehensive
Analytic Capabilities
• Most Cooperative
Analytic Processing
• Most Flexible
Deployment Options
Unique Value
u Best Price
Performance
u Quickest Time
to Analytic Value
u Quickest Time
to Analytic Change
u Best Leverage
of Existing Investments
u

25. Envisioning Unconstrained Analytics
§ What are the immediate, pending, and “no constraints”
opportunities for analytics?
25Confidential. Do not Distribute.
Immediate Needs
Weekly Market
Basket Analysis
Pending Needs
Daily Market Basket
Analysis
No Constraints
On-Demand Market
Basket Analysis
Demand signaling

26. Envisioning Unconstrained Analytics
§ What are the immediate, pending, and “no constraints”
opportunities for data expansion?
26Confidential. Do not Distribute.
Immediate Needs
Point of Sale +
Loyalty + Credit +
Pyschographic
2 Years Data
Pending Needs
Partner Data
6 Years Data
Archived,
Accessible
No Constraints
Social Media Data

27. Envisioning Unconstrained Analytics
§ What are the immediate, pending, and “no constraints”
opportunities for analyst communities?
27Confidential. Do not Distribute.
Immediate Needs
Business Analysts
Pending Needs
Store Managers
No Constraints
Suppliers

28. Questions and Answers
§ What are the immediate, pending, and “no constraints”
opportunities for analytics?
28Confidential. Do not Distribute.
Immediate Needs
Pending Needs
No Constraints

29. Twitter Tag: #briefr The Briefing Room
Perceptions & Questions
Analyst:
Wayne Eckerson

30. 1.
General
purpose
RDBMS
2.
Analy=cal
pla?orms
3.
Hadoop
Big
data
plaBorms
–
Three
genera3ons
30
www.bileader.com

31. 2nd
genera3on:
Analy3cal
plaBorms
1010data
Aster
Data
(Teradata)
Calpont
Datallegro
(MicrosoJ)
Exasol
Greenplum
(EMC)
IBM
SmartAnaly=cs
Infobright
Kogni=o
Netezza
(IBM)
Oracle
Exadata
Paraccel
Pervasive
Sand
Technology
SAP
HANA
Sybase
IQ
(SAP)
Teradata
Ver=ca
(HP)
• Purpose-­‐built
RDBMS
• Quicker
to
deploy
• Faster
and
more
scalable
• Lower
cost
per
TB
• Built-­‐in
analy3cs
Deployment
Op3ons
-­‐ SoJware
only
(Paraccel,
Ver=ca)
-­‐ Appliance
(HANA,
Exadata,
Netezza)
-­‐ Cloud
(1010data,
Kogni=o,
HANA)
www.bileader.com

32. Mapping
big
data
plaBorms
32
Structured
à
Semi-­‐Structured
à
Unstructured
Hadoop
Analy=c
Pla?orm
(RDBMS)
General
Purpose
RDBMS
Low
Latency
Summarized
Data
à
High
cost
per
TB
High
Latency
ß
Detailed
Data
Low
cost
per
TB
Adapted
with
permission
from
Hortonworks
www.bileader.com

33. Analy3cal
Ecosystem
Machine
Data
Web Data
Hadoop
Cluster
Power
User
BI
Server
Casual
User
Operational
System
Operational
System
Upload
&
query
Query
Free-­‐standing
Analy3cal
sandbox
Logical
or
Physical
Data
Mart
Data
Warehouse
Virtual
Sandboxes
Top-­‐down
BI
Bo+om-­‐up
BI
External
Data
Alerts
Audio/video
Data
Streaming/
CEP
Engine
Visual
discovery
tools
Event-­‐driven
messaging
Classic
BI
KEY:
New
Stuff
ODS
ETL
Interac=ve
dashboards

34. • What
are
ParAccel’s
key
differen=ators
in
a
crowded
market?
• What
types
of
workloads
does
ParAccel
handle
best?
• How
does
ParAccel
integrate
with
Hadoop?
• Who
are
ParAccel’s
key
partners?
• How
does
ParAccel
fit
into
the
Ac=an
database
por?olio?
Ques3ons
34
www.bileadership.com

35. Twitter Tag: #briefr The Briefing Room

36. Twitter Tag: #briefr The Briefing Room
August: ANALYTIC PLATFORMS
September: ANALYTICS
October: DATA PROCESSING
Upcoming Topics
www.insideanalysis.com

37. Twitter Tag: #briefr The Briefing Room
Thank You
for Your
Attention
PHOTO CREDIT:
Photo on Slide 5 borrowed from the internet: http://www.dcmemorials.com/