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© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
DataMashups–HowToDeriveCustomerValue
Chris Selland
HP Vertica
June 27, 2013
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2
Speed, scalability, simplicity, and openness at lower TCO
HP Vertica Analytics Platform
High-performance data analytics platform purpose built for big data
HP Vertica Analytics Platform
Gain insights into your data in near-real time by running queries 50x-1,000x faster than legacy products
Blazing fast analytics
Infinitely and easily scale your solution by adding an unlimited number of industry-standard servers
Massive scalability
Get to market quickly with your analytics initiatives at low cost of administration and maintenance
Easy set-up and administration
Protect your investment in hardware and software, with built-in support for Hadoop, R
Open architecture
Store 10x-30x more data per server than row databases with patented columnar compression
Optimizeddata storage
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3
Winning Presidential Elections
• Created an environment that let 100 data scientists pursue
their ideas with predictable simplicity and high performance
• Made correlations in the data that would have been
impossible for the ’08 election
• Effective utilization of television and marketing budget by
using predictive modeling to optimize when and where to buy
television ad time
“We were going to demand data on everything, we were going
to measure everything, … We were going to put an analytics
team inside of us to study us the entire time to make sure we
were being smart about things.”
- Jim Messina, Campaign Manager, Obama 2012
Replay available at www.vertica.com/webinars
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Thankyou
Chris Selland
chris.selland@hp.com
+1 (617) 386-4523

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Data mashups vertica

  • 1. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. DataMashups–HowToDeriveCustomerValue Chris Selland HP Vertica June 27, 2013
  • 2. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2 Speed, scalability, simplicity, and openness at lower TCO HP Vertica Analytics Platform High-performance data analytics platform purpose built for big data HP Vertica Analytics Platform Gain insights into your data in near-real time by running queries 50x-1,000x faster than legacy products Blazing fast analytics Infinitely and easily scale your solution by adding an unlimited number of industry-standard servers Massive scalability Get to market quickly with your analytics initiatives at low cost of administration and maintenance Easy set-up and administration Protect your investment in hardware and software, with built-in support for Hadoop, R Open architecture Store 10x-30x more data per server than row databases with patented columnar compression Optimizeddata storage
  • 3. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3 Winning Presidential Elections • Created an environment that let 100 data scientists pursue their ideas with predictable simplicity and high performance • Made correlations in the data that would have been impossible for the ’08 election • Effective utilization of television and marketing budget by using predictive modeling to optimize when and where to buy television ad time “We were going to demand data on everything, we were going to measure everything, … We were going to put an analytics team inside of us to study us the entire time to make sure we were being smart about things.” - Jim Messina, Campaign Manager, Obama 2012 Replay available at www.vertica.com/webinars
  • 4. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Thankyou Chris Selland chris.selland@hp.com +1 (617) 386-4523

Hinweis der Redaktion

  1. Slide Objective: Background for setting the stage. (“Welcome and thank you for having us today.”)Key Point: The New York Times described this past year as “the crossover year for Big Data”.This presentation highlights the implications and opportunities and how HP is uniquely positioned to lead the Information Era.Transition: Big Data as you’ll see has gone from ‘cutting edge and conceptual’ to ‘mainstream and mandatory’ for virtually all major aspects of government and industry.Source: New York Times, How Big Data Became So Big, August 11, 2012
  2. Vertica Analytics Platform OverviewThe HP Vertica Analytics Platform solves real-world Big Data challenges. It is purpose-built for organizations of all sizes to monetize data at hyper-speed and massive scale needed to differentiate in today’s competitive economic climate.Compared to traditional databases and data warehouses, the HP Vertica Analytics Platform drives down the cost of capturing, storing, and analyzing data. And it produces answers 50 to 1,000 times faster to enable the iterative, conversational analytics approach needed.The HP Vertica Analytics Platform delivers:Blazing Fast Analytics - Gain insights into your data in near-real time by running queries 50x-1,000x faster than legacy productsMassive Scalability -Infinitely scale your solution by adding an unlimited number of industry-standard serversOpen Architecture - Protect and embrace your investment in hardware and software, with built-in support for Hadoop, R, and a range of ETL and BI toolsOptimized Data Storage - Store 10x-30x more data per server than row databases with patented columnar compressionWhat can the HP Vertica Analytics Platform do for you?The HP Vertica Analytics Platform is truly built for analytics with technology born of the modern age. It is not a back-end legacy database, nor does it merely store your data. The HP Vertica Analytics Platform enables you to have a conversation with your data in ultimately finding the answers you need to monetize Big Data.Key Features and BenefitsCompresses data to reduce storage costs and speed access by up to 90 percentStores data by columns rather than rows and caches data in memory to make analytic queries 50 to 1000 times fasterFeatures massively parallel processing (MPP) to spread huge data volumes over any hardware, including low-cost commodity serversUses data replication, failover and recovery to achieve automatic high availabilityIncludes a pre-packaged in-database analytics library to handle complex analytics and a robust development framework and support for the R statistical programming language to enable analysts to create user-defined analytics inside the databaseDynamically integrates with and complements Hadoop to move analyze large sets of structured, semi-structured and unstructured data back and forth between systems for data exploration and fast analytics dataIntroducing HP Vertica Analytics Platform 6.1HP Vertica Analytics Platform 6.1 is a new version of HP Vertica’s next-generation analytics platform purpose built to optimize Big Data. Code-named Bulldozer, it enables enterprises to leverage and monetize Big Data with analytics packs, performance enhancements, enhanced integration with Hadoop and simplified Amazon EC2 cloud deployments. For More InformationLearn more about how you can monetize all your Big Data with the HP Vertica Analytics Platform:Web site: www.vertica.comHP Vertica Community Edition: www.vertica.com/community/sbannerHP Vertica 30-Day Trial: www.vertica.com/eval/sbanner
  3. http://h30458.www3.hp.com/us/us/ezine/info-management-leaders/apr/the-dnc-leverages-big-data-for-a-big-win-in-2012.html/title/the-dnc-leverages-big-data-for-a-big-win-in-2012