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Las Vegas, NV (PRWEB) December 12, 2011

Extraprise, the leader in right time revenue optimization services for B2B and B2C enterprises, reported more than 50% growth in customer interactions in 2011 from multi-channel marketing campaigns executed by its i2i database marketing and demand generation services for some of the worlds largest brands. The customer interactions are in the tens of millions, representing engagement in online and offline marketing channels, for B2B and B2C enterprises across every country and continent worldwide. Several major vertical markets are represented including high technology, financial services, pharmaceuticals, business services, publishing, and travel. Extraprise will be offering its i2i Marketing Services, focused on marketing strategy, customer intelligence, lead generation, lead nurturing and qualification, and marketing operations, at NCDM 2011 in Booth 211.

The explosion of Big Data across online and offline channels is driving marketers toward greater levels of complexity, said Mike Shanker, CEO and co-founder at Extraprise. Marketers are increasingly seeking to harness Big Data issues through customer intelligence that applies smarter segmentation to their multi-channel marketing campaigns at every stage of the customer life cycle.

Indeed, the explosion of data and customer interactions is making it a marketing mandate to use right time revenue optimization to drive revenue performance. According to a recent Gartner report, enterprise data are expected to grow at 650% in the next five years, with 80% of that data being unstructured and driven by customer conversations in call center notes, social media posts, CRM systems, and email. Consumer conversations are likewise exploding with Pricewaterhouse-Coopers estimating more than 100 million English language blogs and over 20 million discussion forums. The same Pricewaterhouse-Coopers study cites that the top five challenges to using consumer conversations involve the lack of people, processes, and technologies to make customer intelligence actionable. Extraprises i2i Marketing Services are designed to apply customer intelligence to multi-channel marketing campaigns with the right offer, at the right time, to optimize revenue.

For Extraprise clients, the Big Data explosion has fueled an increase in the number of inbound and outbound campaigns, in some instances, by more than 30%. In one series of campaigns, applying customer intelligence and smarter segmentation with more sophisticated multi-channel marketing campaigns produced a conversion rate of 35%. The elevated levels of increased response, driven by more segmented campaigns, demonstrates the velocity in which Big Data drives revenue performance.

Extraprise is the leader in right time revenue optimization services for B2B and B2C enterprises, creating customer intelligence and using it to drive multi-channel marketing campaigns at the right time and in the right places throughout the customer life cycle. Offering an expansive list of its i2i marketing services spanning data management, customer intelligence, marketing strategy, lead generation, lead nurturing and qualification and marketing operations, Extraprise services are scalable and seamlessly compatible with marketing automation and CRM solutions. Clients of all levels of marketing maturity have the flexibility to start and grow with the services they need.

About Extraprise Group Inc.

Extraprise is the leader in right time revenue optimization services for B2B and B2C enterprises, offering the only demand generation services that combine customer intelligence with multi-channel marketing campaigns at the right time in the customer life cycle. Spanning a comprehensive set of services from lead generation to nurturing to closed sale, and upsell and cross-sell, Extraprises i2i demand generation services are suitable for clients at all levels of marketing maturity. Delivered through its Guaranteed Success Program as a hosted or on premise service, Extraprise continually meets the evolving marketing needs of its customers by driving tens of millions of customer interactions resulting in hundreds of thousands of buying opportunities from every country and continent. For more information, visit http://www.extraprise.com or call +1(888)i2iMKTG or email info(at)extraprise(dot)com.

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O’Reilly’s belief that facility in managing and analyzing large amounts of data distinguishes market leading companies, led to a recent report designed to help users understand the different large-scale data management techniques (see r2.oreilly.com (Issue 2.0.11, February, 2009) ). Ben Lorica recently sat down with his co-author, Roger Magoulas (Director of Research at O’Reilly), who agreed talk about the report and Big Data in general. Roger highlights what they found to be the key technology dimensions for evaluating data management solutions. The video ends with a glimpse into future technologies and general advice to organizations interested in improving their proficiency in handling data.

New York City, NY (PRWEB) March 12, 2012

GigaOM, a leading business and technology media company, today announced that GigaOM Structure:Data, the only conference to bring together the worlds leading Big Data technologists, practitioners, and business leaders, has nearly sold out of tickets. Over 700 industry leaders, entrepreneurs, and investors will gather to debate the future of Big Data on March 21-22, 2012 in New York City, hearing luminary speakers from Google, Opera Solutions, EMC, VMware, IBM, comScore, Cloudera, PayPal, Match.com, and many more.

Only a few tickets remain and sponsorships for this years Structure:Data expanded to two full days of interactive panels, thought-provoking keynotes, and hands-on workshops are already sold out. Anyone who wants to attend Structure:Data should register quickly to avoid missing out on the few remaining tickets. Business leaders from American Express, Amazon, Comcast, Credit Suisse, eBay, Fidelity Investments, General Electric, Mediabrands, Microsoft, Walmart, and hundreds of other companies will attend Structure:Data.

Top media have also lined-up to cover Structure:Data, with reporters and editors from The New York Times, The Wall Street Journal, TechCrunch, paidContent, The Huffington Post, Wired, Dow Jones, Forbes, Fortune, Reuters, The New York Observer, CNNMoney, eWeek, CNET, Information Week, and many others already confirmed to attend.

The fact that Structure:Data is nearly sold out weeks before the conference, and has attracted unprecedented sponsor and media interest, is an astonishing indication of the interest in Big Data, which now touches every aspect of our work and personal lives, said Derrick Harris, chair of Structure:Data and infrastructure analyst at GigaOM Pro. With speakers that range from a former director of the CIA to founders of the hottest startups just emerging from garages and sponsors ranging from EMC and Oracle, to Cloudera and eTrade, Big Data is on everyones agenda and will impact how we do work, collaborate, and communicate for years to come.

Structure:Data is the only conference to bring together top industry experts to debate the challenges and opportunities posed by Big Data and to provide actionable solutions organizations can use to store, manage, and gain insights from the data deluge. From infrastructure, to algorithms, applications, and storage, Structure:Data will explore every facet

of the enterprise data industry, and discuss solutions to the biggest Big Data challenges.

Speakers

Speakers at Structure:Data are a veritable whos-who of the data industry, and will deliver insightful keynotes, interactive panel sessions, and fireside chats that invite attendees to engage in a two-way debate. Interviewed by GigaOM editors and GigaOM Pro analysts, speakers will dig deep into the technological and business strategies organizations can use to better analyze and capitalize on their existing data.

Top speakers at Structure:Data include: Mike Brown, CTO of comScore; Cameran Evans, Data Scientist at Socialcast by VMware; Currie Boyle, distinguished engineer at IBM; R. James Woolsey, Chairmano of the Foundation for Defense of Democracies and Former Director of Central Intelligence; Arnab Gupta, CEO and Founder of Opera Solutions; Mike Olson, CEO of Cloudera; Mok Oh, Chief Scientist at PayPal, Dave Asprey, VP of cloud security at Trend Micro; George John, CEO of Rocket Fuel; David Gutelius, Chief Social Scientist at Jive Software; Amarantha Thombre, VP of strategy and analytics at Match.com; Gary Grider, Deputy Division Leader, HPC Division, at the Los Alamos National Laboratory; and Douglas Merrill, Founder and CEO of ZestCash.

Big Ideas

This year, four innovative startups will be featured at Structure:Data. These four companies, chosen by GigaOM editors for their groundbreaking Big Data business models and cutting-edge technologies, will present on stage as part of the Structure:Data Big Ideas program. The four companies are Cetas Software, metaLayer.com, NuoDB and SpaceCurve.

Sponsors

Sponsorships for Structure:Data are already sold out. Headline sponsors EMC will be joined by dozens of other sponsors such as Oracle, E*TRADE, Aspera, Sybase, Aster Data, Avere, SoftLayer, MarkLogic, Splunk, Canonical, Turn, Cloudera, NetApp, and LexisNexis to support Structure:Data. These and many more high-quality companies have lined up to sponsor Structure:Data, the most influential Big Data conference in the industry.

About GigaOM

Founded in 2006, GigaOM has grown into the leading provider of online media, events and research for global technology innovators. The company is one of the most credible and insightful voices at the intersection of business and technology, with an online audience of more than 4 million monthly unique visitors; industry-leading events, including Structure, Mobilize, GigaOM RoadMap, Structure:Europe, Net:Work, and Structure:Data; and a pioneering market research service and digital community, GigaOM Pro, which provides expert analysis and research on emerging technology markets.

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Frisco, TX (PRWEB) June 21, 2011

Calpont Corporation, a leading provider of high-performance analytic databases today announced a webinar, Improve Ad Targeting by Widening Your Analytics, which will be held today, June 21, at 2:00 P.M. EDT. The free webinar explores how new advances in data technology eliminates analytics bottlenecks that results in better targeting and reach for online advertisers.

During the webinar, Jim Sterne and Jim Tommaney will discuss how marketers can capitalize on the Big Data being generated online with the right technology infrastructure and analytic rigor. It will provide online marketers with an understanding of how to address Big Data for ad targeting by increasing analytic breadth, depth and performance. For data analysts and technologists, this webinar will discuss how a specialized analytic database can reduce decision latency and expand cardinality of analysis.

Participants will learn:

Hadoop is an open-source software platform by the Apache Foundation for building clusters of servers for use in distributed computing. Server clustering is really nothing new or revolutionary but Hadoop is designed specifically for mass-scale computing, which involves thousands of servers. Based on a paper originally written by Google about their MapReduce system, Hadoop leverages concepts from functional programming to solve large computing problems. Hadoop is an ideal solution for working with large volumes of data in a variety of applications from scientific to searching through web pages.

Leveraging the Power of Functional Programming
Functional programming is a style of programming that has its roots in lambda calculus. Functional programming is based largely on the idea of applying functions to a set of data.

In this style of programming there is no state or mutable data. This makes functional programming a natural style of development for systems that analyze large sets of data. In functional programming, a function is applied to each member of a set of data and the result is the output. However, the data that was input remains unchanged. This is exactly what you need when you’re working through very large set of data to analyze or transform them in some way.

MapReduce: Splitting a Big Problem into Little Pieces
Google applied the ideas of functional programming to the problem of how to manipulate large amounts of data about the contents of pages on the world wide web. The system they developed was called MapReduce and was described in a paper published by Google.

MapReduce is what allows Google to search and index the huge volume of web pages that their bot spiders. Maps are an element of functional programming languages in which a function is applied to a set of data items. The number of parameters in the original input is immaterial as the function will be applied to each one.

Google’s system took it a step further though. Their MapReduce system consists of thousands of servers. The process of applying a function to each element of the input can all happen on one machine or it could be split over as many servers as needed. This allows Google to leverage the computing power of many less expensive machines to sort, analyze and transform large sets of data.

A Java Based Open Source Implementation of MapReduce
While Google’s system is proprietary, they did publish the concepts behind it. This lead to the creation of Hadoop. Hadoop is implemented in the Java programming language and contains a suite of tools for creating mass-scale computer clusters. Hadoop consists of a number of components including a distributed file system, a scalable database, and a programming framework for building code that uses the MapReduce concepts to solve problems based on large sets of data. The system allows one to build highly reliable and scalable architectures for distributed computing.

Hadoop Uses and Benefits
While it is pretty easy to see that Hadoop is a powerful suite of tools, it may not be readily apparent why it might be useful or the kinds of tasks that would benefit from it. You can get some ideas by looking at who is using Hadoop and the kinds of tasks they are running on Hadoop.

Log File & Web Analytics
Large web sites generate tremendous amounts of data about their visitors. These log files can grow to be hundreds of gigabytes in size. Log files contain important information, however, about how users interact with a site, where they are coming from and can even help detect attacks and suspicious activity. Analyzing that data is a great job for Hadoop and that is exactly what companies like Facebook and Rackspace are using it for.

Ad Targeting
The amount of data that is analyzed to decide which ads should display on your favorite web site is staggering. Large advertising networks also have to collect data on millions of clicks and provide useful information to their clients about how users are responding to those ads. Analyzing this data to determine how to best serve ads is another ideal application for Hadoop. Advertising networks like Adknowledge use Hadoop to analyze the millions of clicks and determine which ads to display and when.

Scientific Applications
There are more applications that require analyzing large volumes of data beside web logs and advertising. There are a number of practical scientific applications for a system like Hadoop. Physics, biochemistry and genetics research all require analyzing each item in a large set of data. One company, Spadac.com, is using Hadoop to power geospatial processing.

Financial Analysis
The finance industry is another segment that generates large volumes of data. Hadoop can help solve financial problems by analyzing large sets of transactions or stock prices. It can be used to spot trends that might suggest fraud, find ways to improve the bottom line or discover trends in the stock market to help investors pick better investments. Pronux is a company that uses Hadoop to analyze transactions being posted by the bookkeeping department of large organizations. Another company uses it to do technical analysis of various stocks.

Search
Of course, searching a large data set, like Google does, lead to the concepts that inspired Hadoop. Hadoop is a powerful tool for indexing large amounts of data and searching through that data. It is used for this exact purpose by BaiDu, China’s leading Internet search engine; Amazon, for searching the many products they carry; and by LinkedIn, for suggesting people you might know and fun facts.

Based on the idea that a large problem could be split into smaller pieces and tackled by many computers, Hadoop provides an open source, scalable system to build clusters of thousands of servers. It is primarily designed to apply the concepts of functional programming to the analysis of large volumes of data. As such, Hadoop powers numerous systems in the web, search, finance, and scientific market segments.

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Next Hadoop confirms data as a platform
By Brian Proffitt | ITworld You may have heard the news out of last week's Strata: the next version of Hadoop is going to be bigger and badder than ever. But hidden within the hype about size and speed is a new feature that could radically shift the …
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SAS Delivers Hadoop Integration for Big Data Support
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Question by No Chance Without Jesus: Is the mind like a computer….?
capable of parsing data, executing programing and working off a preprogramed code? Incapable of performing outside the box of its parameters?

Not to age myself, but when I was in high school we used to be able to play with the main frame computers at the Stanford University Computer lab through a teletype terminal. This was fascinating early age of computers stuff, and you could play games and make programs but you had to know exactly what to tell the computer to get it to perform. You had to type in lines of code perfectly and if you made any mistakes it would spit out the message,

“Entry error: does not compute”

Well over the intervening decades computers have become easier to use, but no less frustrating, anything presented to them beyond their capabilities or parameters just gets spits out and things crash

Is this what happens when the mind alone is presented with God? I will be the first to admit that on a simple logic level, God does not really make sense. But humans and the human experience is so much more than just logic.

Even our brains are designed with only one half that concerns itself with logic.

There is another part to the human being where beauty, music, art, love, fear, hate, happiness and all the wonderful irrational, illogical things that make us human take place. This is the human heart, the human soul. Which is much grander and more able to handle the complex issues of human life. This is where God must be apprehended, this is the gateway that must be opened to receive God.

Trying to make God pass through the narrow parameters of the human brain is like trying to to program a computer using the musical score from phantom of the opera. The computer wants 0’s and 1’s and you ar trying to feed it quarter notes and treble clefts

“error entry, does not compute.”

Oh sure you can translate those notes into a compiled language the computer could understand, and with the right program it could even spit it back out as music……but in the end it has no comprehension of it, it’s all 0’s and 1’s to the computer.

So is it any wonder then when someone is so bound to only the limited ranges of the human mind, they would not be able to comprehend God and spit out “error, does not compute”?

Open your hearts people! The world, the universe, ….YOU are much bigger than you give yourself credit for, there is a loving God waiting at the door to bring you into a better place, if you will only free yourself from the narrow confines human mind.

Take a break from the 0,s and 1’s and dive into the big old chocolate sundae that is the human experience of the heart….and in doing so, you might find that God actually does “compute”

(Yes I know this could be classified as a rant, Yes, I know this could be reported. It was just on my heart to say, so I said it. I hope it helps someone before it gets deleted)

Best answer:

Give your answer to this question below!

New York City, NY (PRWEB) January 31, 2012

GigaOM, a leading business and technology media company, today announced headline speakers for GigaOM Structure:Data, the only conference to bring together the worlds leading Big Data technologists, practitioners, and business leaders. The second-annual Structure:Data will take place March 21-22, 2012 in New York City this year expanded to two full days of interactive panels, thought-provoking keynotes, and hands-on workshops.

The deluge of Big Data being created every day is transforming every aspect of business and society, and organizations continue to struggle with how to store, manage, and gain insights from petabytes of data, said Derrick Harris, infrastructure analyst at GigaOM Pro and chair of Structure:Data. At Structure:Data, the top thinkers of our time will gather to debate the questions posed by Big Data, from storage and data analytics, to infrastructure and applications.

Speakers

Speakers at Structure:Data are a veritable whos-who of the data industry, and will deliver insightful keynotes, interactive panel sessions, and fireside chats that invite attendees to engage in a two-way debate. Interviewed by GigaOM editors and GigaOM Pro analysts, speakers will dig deep into the technological and business strategies organizations can use to better analyze and capitalize on their existing data.

Top speakers at Structure:Data include Mike Brown, CTO of comScore; Mark Lewis, president and CSO of EMC; Cameran Evans, data scientist at Socialcast by VMware; Currie Boyle, distinguished engineer at IBM; Mike Olson, CEO of Cloudera; Dr. Bill Simmons, CTO and co-founder of DataXu; Mok Oh, chief scientist at PayPal, Dave Asprey, VP of cloud security at Trend Micro; George John, CEO and co-founder of Rocket Fuel; David Gutelius, chief social scientist at Jive Software; Amarantha Thombre, VP of strategy and analytics at Match.com; and Arnab Gupta, CEO and founder of Opera Solutions.

Themes

As the volume of enterprise data being created every day has moved past terabytes into the petabyte scale, companies are struggling to determine the best methods to store, manage, and analyze all this information to derive meaningful insights into their businesses and industries. Structure:Data is the only conference to bring together Big Data experts from across industries to discuss innovative solutions to the challenges of information overload. After a sold-out inaugural Structure:Data last year, GigaOM expanded this years conference to two full days. Some of the main themes explored at Structure:Data will include:

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