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The Briefing Room
Analytic Excellence: Saying Goodbye to Old Constraints
Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
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
Twitter Tag: #briefr The Briefing Room
Topics
This Month: ANALYTIC PLATFORMS
September: ANALYTICS
October: DATA PROCESSING
Twitter Tag: #briefr The Briefing Room
Analytic Platforms
Analytic Excellence:
Saying Goodbye to Old Constraints
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.
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
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.
Unconstrained Analytics
ParAccel Big Data Analytics Platform
John Santaferraro
Vice President of Marketing, ParAccel Platform Group
August 5, 2013
Agenda
§  The Age of Data
§  Unconstrained Analytics
§  ParAccel Big Data Analytic Platform
10Confidential © 2013 Actian Corporation
11
The Age of Data
- Where Data and Algorithms Collide
Confidential © 2013 Actian Corporation
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
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
Support the Entire Analytic Process
14Confidential © 2013 Actian Corporation
Connect Prepare AnalyzeOptimize
DATA VALUE
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.
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.
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	
  
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	
  
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	
  
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
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
Operator Library
22
Using ParAccel Dataflow Engine
23
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
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
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
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
Questions and Answers
§  What are the immediate, pending, and “no constraints”
opportunities for analytics?
28Confidential. Do not Distribute.
Immediate Needs
Pending Needs
No Constraints
Twitter Tag: #briefr The Briefing Room
Perceptions & Questions
Analyst:
Wayne Eckerson
1.	
  General	
  purpose	
  RDBMS	
  
2.	
  Analy=cal	
  pla?orms	
  
3.	
  Hadoop	
  
Big	
  data	
  plaBorms	
  –	
  Three	
  genera3ons	
  
30	
  www.bileader.com	
  
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	
  
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	
  
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	
  
	
  
•  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	
  
Twitter Tag: #briefr The Briefing Room
Twitter Tag: #briefr The Briefing Room
August: ANALYTIC PLATFORMS
September: ANALYTICS
October: DATA PROCESSING
Upcoming Topics
www.insideanalysis.com
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/

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Analytic Excellence - Saying Goodbye to Old Constraints

  • 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
  • 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/