unconstrained analytics in the age of data – delivering high-performance analytics with paraccel...
DESCRIPTION
We live in the Age of Data. Now more than ever, it is crucial that organizations can connect, analyze and act on the vast amounts of data that surrounds them in order to succeed long-term. This session will discuss the Age of Data and how companies can deploy technology such as Actian ParAccel SMP, a fast analytic database platform that runs on standard hardware, in order to run sophisticated, unconstrained analytics on massive amounts of data (structured, unstructured, Hadoop etc) and turn their data into business value. Christian Raza - Director of Sales SEMEA, @Actian Corporation Actian presentation during the Pentaho & Big Data Ecosystem - Live Seminar 2013TRANSCRIPT
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Actian Vectorwise Simply Fast = High performance + Affordable Cost
Christian RAZA
SEMEA Sales Director
XpandIT / Big Data ecosystem / November 27 2013
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Our Vision
2 © 2013 Actian Corporation
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The Age Of Data
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• “Data are becoming the new raw material of
business.“
Craig Mundie, Microsoft
• “Data tap has been turned on and will never
be turned off.”
Mike Hoskins, Actian CTO, 2013
• “You can have data without information, but
you cannot have information without data.”
Daniel Keys Moran, Writer
• “It is a capital mistake to theorize
before one has data.”
Sherlock Holmes, Sir Arthur Conan Doyle
• “Torture the data,
and it will confess to anything.”
Ronald Coase, Economics, Nobel Prize
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The Age of Data
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Actian Big Data Platform
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• “Data is the new oil.“
Clive Humby,
ANA Senior marketer’s summit
• “Information is the oil of the
21st century, and analytics is
the combustion engine.”
Peter Sondergaard,
SVP at Gartner
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Big Data pipeline
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Actian Big Data Platform
© 2013 Actian Corporation
Open Data
Shared Data
Operational Data Big Data
Reservoir
Analytic
Applications
Graph Based
Applications
Search Based
Applications
Reporting
Applications
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Extreme Reporting
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Extreme Analytic
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Actian Vectorwise
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Why Vectorwise?
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Vectorwise: started with an academic project
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first
colomn store DBMS
1990 1993 2005 2010
Vectorwise MonetDB MonetDBX100
• Patent USPTO #20100235335 (Peter BONCZ): Column-store database architecture utilizing positional delta tree
• Partnership with academic
• multi-core parallelism
• just-in-time compilation of predicates
• non-intrusive query execution on compressed data
• cooperative Scans
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Vectorwise
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New generation
Colummn DBMS
In CPU acceleration Ingres modules
encapsulation
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Vectorwise: simplified technical integration
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Connectivity
• .Net, JDBC, ODBC, PHP, Perl…
• ETL: Stambia, Talend, SyncSort, Informatica, DataStage…
• BI: BiBoard, BO, Cognos, MicroStrategy, Hyperion, JasperSoft, Pentaho, SpagoBI, TableauSoftware, YellowFin,…
• Analytics: SAS, SPSS, RapidMiner, RevolutionAnalytics,…
Standard SQL
• No proprietary SQL
• Support de ANSI SQL-92
DBA tools
• Actian Director
• BackUp / Restore
• Utilitaires Load/Unload (copy, vwload)
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Benchmark
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Benchmark TPCH : 3 world records
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Benchmark TPCH: Vectorwise VS MS SQL Server
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TPCH 1TB MS SQL Server Ingres VectorWise
CPU Type:Intel Xeon Processor E7-8870
2.40GHzIntel Xeon E7-8837 2.67GHz
Server: IBM System x3850 X5 8P Dell PowerEdge R910
Total # of Processors: 8 4
Total # of Cores: 80 32
Database ManagerMicrosoft SQL Server 2008 R2
Enterprise EditionVectorWise 1.6
Operating SystemMicrosoft Windows Server 2008 R2
Enterprise EditionRedHat Enterprise Linux.6.1
Total Storage/Database Size Ratio: 7.00 2.34
Metric 173,962 QphH@1000GB 436,789 QphH@1000GB
Price/Performance 1.37 USD per QphH@1000GB .88 USD per QphH@1000GB
Availability Date 20-May-2011 30-Jun-2011
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Benchmark TPCH: Vectorwise VS Oracle
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TPCH 1TB Oracle Ingres VectorWise
CPU Type: SPARC64 VII+ 3000MHz Intel Xeon E7-8837 2.67GHz
Server: SPARC Enterprise M8000 Server Dell PowerEdge R910
Total # of Processors: 16 4
Total # of Cores: 64 32
Database ManagerOracle Database 11g R2 Enterprise
Edition with PartitioningVectorWise 1.6
Operating System Oracle Solaris 10 RedHat Enterprise Linux.6.1
Total Storage/Database Size Ratio: 11.20 2.34
Metric 209,533 QphH@1000GB 436,789 QphH@1000GB
Price/Performance 10.13 USD per QphH@1000GB .88 USD per QphH@1000GB
Availability Date 22-sept.-11 30-Jun-2011
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Benchmark TPCH: Vectorwise VS SybaseIQ
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TPCH 1TB Sybase IQ Ingres VectorWise
CPU Type: AMD Opteron 8439 SE 6-Core 2.8GHz Intel Xeon E7-8837 2.67GHz
Server: IBM Power 780 Model 9179-MHB Dell PowerEdge R910
Total # of Processors: 8 4
Total # of Cores: 48 32
Database ManagerSybase IQ Single Application Server
Edition v.15.1 ESD #1VectorWise 1.6
Operating System Red Hat Enterprise Linux 5.3 RedHat Enterprise Linux.6.1
Total Storage/Database Size Ratio: 15.18 2.34
Metric 102,375 QphH@1000GB 436,789 QphH@1000GB
Price/Performance 3.63 USD per QphH@1000GB .88 USD per QphH@1000GB
Availability Date 01-Feb-2011 30-Jun-2011
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Reporting / Dashboard
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Customer Benchmark: Vectorwise VS Teradata
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o This performance benchmark was performed by Leroy Merlin France to evaluate DBMS during a massive workload (load test duration: 1 hour). o The target workload represents the reporting/dashboard activity of 10 000 sales force between 08:00 and 09:00 AM of. The peak workload was estimated at 600 concurrent users which gives 1200 queries per minute.
o Vectorwise VS Teradata benchmark:
• Vectorwise 2.5 / Linux / 8-Core / 32 Go RAM • Teradata 6680 with 2 active nodes and SSD (24-core / 192 GB RAM)
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Customer Benchmark: Vectorwise VS Teradata
© 2013 Actian Corporation
o Result #1:
• Vectorwise was faster than Teradata on all single query runs o Result #2 :
• Vectorwise was 2x faster than Teradata at 50 queries / minute o Result #3 :
• With Vectorwise between 1 and 30 queries / minute, queries are running as fast as in single run
oResult #4:
• At 70 concurrent users (140 queries / minute), Teradata was 100% full • Vectorwise reach the target of 600 concurrent users (1200 queries / minute) • Vectorwise was loaded up to 2000 queries / minute during 2:30 hours (35% queries were in time out)
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Customer Benchmark: Vectorwise VS Teradata
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Booster application
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Booster application
© 2013 Actian Corporation
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Booster application
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Booster application
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Big Data
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Iscool Entertainment
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Social Gaming
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Big Data
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Big Data Analysis
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Technical architecture
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Vectorwise users
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Conclusion
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The Age Of Data
Turning Data into Action
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“Data matures like wine, applications like fish.” - James Governor
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Actian Corporation
37 © 2013 Actian Corporation
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70’s
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70’s
Tandem NonStop SQL
HP Allbase
Cullinet
Britton-Lee
Wang PACE
CA-Universe
Teradata
Informix
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Ted Codd
1970 1980 1990 1995
Michael Stonebraker
UC Berkeley
IBM
System R
Oracle
Ingres
Sybase
MS SQL
MySQL
PostgreSQL
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Actian: 30-year old start up
© 2013 Actian Corporation
• +30 years of DBMS experience UC Berkeley, Relational Technology Inc., Ingres Corporation, Ask Group, Computer Associates, Ingres Corporation
• Independent since 2006 Ingres became Actian in 2011
• +10 000 customers in 58 countries
• 150 M$ of revenue
• Profitable, +30 M$ of cash
• 500 employees
• 3 acquisitions between December 2012 and April 2014
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Disclaimer
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