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B24 Real-world Vectorwise implementations by Mark van de Wiel / 平井真司
1.
Real-world Vectorwise Architecture Mark
Van de Wiel Director Product Management, Vectorwise Thursday, November 01, 2012 1 of 9 1 of 9 Confidential © 2012 Actian Corporation
2.
Agenda Retail: Sheetz
Finance: The Rohatyn Group Social media: Badoo Advertising: Thomson Reuters Machine-generated data: Xerox Government: Irish Revenue Commissioners Confidential © 2012 Actian Corporation 2
3.
Retail: Sheetz Company and
business case Convenience store and sandwich shop – East Coast US Traditional BI and reporting application Looking to expand into inventory management optimizations Why Vectorwise Incredibly fast performance Extremely affordable Migrating applications off Teradata EDW to avoid extending the system Implementation Pentaho for data loading and dashboards Actian professional services implementation Won “vendor-of-the-year” award Confidential © 2012 Actian Corporation 3
4.
“Vectorwise helps to
optimize costs, maintain high quality and a positive customer service” Jarrid Magalich, Technical Services Manager at Sheetz http://www.actian.com/webinars/ultra-fast-data-analytics Confidential © 2012 Actian Corporation 4
5.
Finance: The Rohatyn
Group Company and use case Hedge fund focused on emerging markets Risk management Position analysis to make investment decisions Not just current but also historical positions Too much data to fit in-memory, yet extremely fast performance required Why Vectorwise In-memory performance without memory limitation Technical implementation Wide table with all dimensions denormalized Home-grown JDBC-based application Dual-active high availability Confidential © 2012 Actian Corporation 5
6.
“For the past
20 years, I’ve been searching for the killer database that would fulfill our most intense data processing needs and with the discovery of Vectorwise, that search is now over – this database technology is in a class of its own. Right out of the box, Vectorwise lets us effortlessly plow through millions and millions of rows of data…The Ingres and Vectorwise leaders and technologists have performed a miracle here.” Warren S. Master, CTO, The Rohatyn Group, New York Confidential © 2012 Actian Corporation 6
7.
Social media: Badoo Company
and use case Social media – dating Built on top of Facebook Growing very rapidly Clickstream stored in Hadoop, interactive analysis in Vectorwise Why Vectorwise Fast performance No need to spend time design summaries Implementation Custom scripts on top of Pentaho Data Integration jobs to load data Pentaho dashboards for queries and analysis Confidential © 2012 Actian Corporation 7
8.
“Vectorwise’s performance will
make our company more agile and strengthen our competitive advantage” Ian Broadhead, BI Lead at Badoo Confidential © 2012 Actian Corporation 8
9.
Advertising: Thomson Reuters Company
and use case World’s largest international news agency Predictive analytics for advertising rates Based on continuous news feeds Why Vectorwise Fast performance during continuous loads High concurrency Implementation Custom PHP for iOS Confidential © 2012 Actian Corporation 9
10.
Machine-generated Data: Xerox Company
and use case “The document company” Copiers generate lots of diagnostics data Analyze data to Optimize supply chain for parts Improve customer service by performing preventive maintenance Why Vectorwise Ease of use to get fast performance Versus Oracle (too slow, too much tuning) and Greenplum (too complex) Implementation Pervasive ETL Yellowfin BI for reporting and analytics Confidential © 2012 Actian Corporation 10
11.
Government: Irish Revenue
Commissioners Organization and use case Tax collection and customs law department More than 200 types of declarations Over 2.2 million individuals and 750,000 businesses Fraud detection and prevention Why Vectorwise Fast performance without special tuning Implementation Multiple TBs of data Implementation by Accenture Confidential © 2012 Actian Corporation 11
12.
“In our own
benchmarks and internal testing, we soon realized just how fast Vectorwise was, and as data sets get bigger, that performance differential becomes even more significant” Maureen Byrne, Business Intelligence Manager, Revenue Confidential © 2012 Actian Corporation 12
13.
Agenda Retail: Sheetz
Finance: The Rohatyn Group Social media: Badoo Advertising: Thomson Reuters Machine-generated data: Xerox Government: Irish Revenue Commissioners More use cases at: http://www.actian.com/images/white_papers/Actian_VW_Customer_Brochure.pdf Confidential © 2012 Actian Corporation 13
14.
Confidential © 2012
Actian Corporation
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