[R-br] OT Fwd: Revolution Webinar Series: Real-time Big Data Analytics: From Deployment to Production

Leandro Marino leandromarino em leandromarino.com.br
Terça Novembro 27 21:53:36 BRST 2012 

Enviado de um dispositivo móvel.
Sent from a mobile device.
---------- Mensagem encaminhada ----------
De: "Revolution Analytics" <info em revolutionanalytics.com>
Data: 27/11/2012 21:49
Assunto: Revolution Webinar Series: Real-time Big Data Analytics: From
Deployment to Production
Para: <leandromarino em leandromarino.com.br>

**



  [image: Revolution Analytics]
2012 Fall Webinar Series

Hello Everyone! There's still time to register for this Thursday's webinar "
*Real-time Big Data Analytics: From Deployment to
Production<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/real-time-big-data-analytics/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*" presented by David Smith, VP of Marketing & Community at Revolution
Analytics. Join us as David describes the five stages of real-time
analytics deployment, the technologies supporting each stage, and how
Revolution Analytics software works with the entire analytics stack to
bring Big Data analytics to real-time production environments.

*Reserve your seat
now!<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://info.revolutionanalytics.com/real-time-big-data-analytics.html?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*
    Featured Webinar
     [image: David Smith]

*Real-time Big Data Analytics: From Deployment to
Production<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/real-time-big-data-analytics/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

As the Big Data market has evolved, the focus has shifted from data
operations (storage, access and processing of data) to data science
(understanding, analyzing and forecasting from data). And as new models are
developed, organizations need a process for deploying analytics from
research into the production environment. In this talk, we'll describe the
five stages of real-time analytics deployment:

   - Data distillation
   - Model development
   - Model validation and deployment
   - Model refresh
   - Real-time model scoring

We'll review the technologies supporting each stage, and how Revolution
Analytics software works with the entire analytics stack to bring Big Data
analytics to real-time production environments.

[image: REGISTER
NOW]<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://info.revolutionanalytics.com/real-time-big-data-analytics.html?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
  [image: Presenter] *David Smith*
VP Marketing & Community, Revolution Analytics  [image: Date] *Thursday,
November 29, 2012*  [image: Time] *10:00AM - 11:00AM Pacific Time*
(Click here for time in your local time
zone<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.timeanddate.com/worldclock/fixedtime.html?msg=Real-time+Big+Data+Analytics%3A+From+Deployment+to+Production&iso=20121129T10&p1=234&ah=1&mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
)


      Archived Webinars
     *Presented Nov 15, 2012* *New Advances in High Performance Analytics
with R: ‘Big Data’ Decision Trees and Analysis of Hadoop
Data<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/new-advances-in-high-performance-analytics-with-r/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

Revolution R Enterprise 6.1 includes two important advances in high
performance predictive analytics with R:  (1) big data decision trees, and
(2) the ability to easily extract and perform predictive analytics on data
stored in the Hadoop Distributed File System (HDFS).

Classification and regression trees are among the most frequently used
algorithms for data analysis and data mining. The implementation provided
in Revolution Analytics’ RevoScaleR package is parallelized, scalable,
distributable, and designed with big data in mind.
  *Presented Nov 8, 2012* *Order Fulfillment Forecasting at John Deere: How
R Facilitates Creativity and
Flexibility<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/order-fulfillment-forecasting-at-john-deere/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

Statistical analysis has been known to be invaluable to any manufactory's
quality assurance for decades. Recently the value of valid statistical
analysis has also been demonstrated to radically improve the ability of a
company's ability to weather extreme peaks and valley in customer demand.
John Deere has been able to adjust to commodity spikes and housing
downturns much better than its competitors have. This is in part due to the
implementation of statistical analysis and the use of R software in the
order fulfillment function of John Deere.
  *Presented Nov 1, 2012* *The Rise of Data Science in the Age of Big Data
Analytics: Why Data Distillation and Machine Learning Aren't
Enough*<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/rise-of-data-science/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>

The reason why Big Data is important is because we want to use it to make
sense of our world. It's tempting to think there's some "magic bullet" for
analyzing big data, but simple "data distillation" often isn't enough, and
unsupervised machine-learning systems can be dangerous. (Like,
bringing-down-the-entire-financial-system dangerous.) Data Science is the
key to unlocking insight from Big Data: by combining computer science
skills with statistical analysis and a deep understanding of the data and
problem we can not only make better predictions, but also fill in gaps in
our knowledge, and even find answers to questions we hadn't even thought of
yet.
  *Presented Jun 28, 2012* *Achieving High-Performing, Simulation-Based
Operational Risk Measurement with
RevoScaleR<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/operational-risk-measurement-with-revoscaler/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

Under the Basel II Accord, financial institutions are required for the
first time to determine capital requirements for a new class of risk –
operational risk.  Large and internally active banks are required to
estimate operational risk exposure using the Advanced Measurement Approach
(AMA), which relies on advanced empirical models.  As banks continue to
develop and enhance their own AMA models for operational risk measurement,
they are increasingly utilizing R to perform various modeling tasks.
  *Presented Jun 20, 2012*
*100% R and More: Plus What's New in Revolution R Enterprise
6.0<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/100-percent-r-and-more/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

R users already know why the R language is the lingua franca of
statisticians today: because it's the most powerful statistical language in
the world. Revolution Analytics builds on the power of open source R, and
adds performance, productivity and integration features to create
Revolution R Enterprise. In this webinar, author and blogger David Smith
will introduce the additional capabilities of Revolution R Enterprise.
 *Presented
Jun 5, 2012*
*Introduction to R for Data
Mining<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/introduction-to-r-for-data-mining/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

We at Revolution Analytics are often asked “What is the best way to learn
R?” While acknowledging that there may be as many effective learning styles
as there are people we have identified three factors that greatly
facilitate learning R. In this webinar, we focus on data mining as the
application area and show how anyone with just a basic knowledge of
elementary data mining techniques can become immediately productive in
R.  *Presented
May 2, 2012*
*R + Hadoop = Big Data
Analytics<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/r-and-hadoop-equals-big-data-analytics/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

RHadoop is an open source project spearheaded by Revolution Analytics to
grant data scientists access to Hadoop’s scalability from their favorite
language, R.  It allows users to write general MapReduce programs, offering
the full power and ecosystem of an existing, established programming
language. In this webinar, Antonio will provide a brief introduction to
Hadoop and R. He will describe how rmr allows R developers to program in
the MapReduce framework, and provides for all developers an alternative way
to implement MapReduce programs that strikes a delicate compromise between
power and usability.  *Presented Mar 28, 2012* *Actuarial Analytics in
R<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/2012/actuarial-analytics-in-r/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>
*

With data analysis showing up in domains as varied as baseball,
evidence-based medicine, predicting recidivism and child support lapses,
judging wine quality, credit scoring, supermarket scanner data analysis,
and “genius” recommendation engines, “business analytics” is part of the
zeitgeist. This is a good moment for actuaries to remember that their
discipline is arguably the first – and a quarter of a millennium old –
example of business analytics at work. Today, the widespread
availability of sophisticated open-source statistical computing and data
visualization environments provides  the actuarial profession with an
unprecedented opportunity to deepen its expertise as well as broaden its
horizons, living up to its potential as a profession of creative and
flexible data scientists.
  *View and download all of this year's archived webinars from the Revolution
Analytics website<http://pages.revolutionanalytics.com/track?type=click&enid=bWFpbGluZ2lkPXJldm9sdXRpb25jb21wdXRpbmdCZXRhY3VzdC0yMzMwLTYzMDMtMC0xMzc2LXByb2QtMTIwOSZtZXNzYWdlaWQ9MCZkYXRhYmFzZWlkPTEyMDkmc2VyaWFsPTEyNjUzNTM5NjQmZW1haWxpZD1sZWFuZHJvbWFyaW5vQGxlYW5kcm9tYXJpbm8uY29tLmJyJnVzZXJpZD0yMjU5MjU4LTEmZXh0cmE9JiYm&&&http://www.revolutionanalytics.com/news-events/free-webinars/?mkt_tok=3RkMMJWWfF9wsRokuK%2FJZKXonjHpfsX66ekkW6K%2BlMI%2F0ER3fOvrPUfGjI4AT8VkI%2FqLAzICFpZo2FFKH%2FaacJVU8%2FpTCE6%2FSC7ria%2Fd>.
*





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