Tuesday, January 14, 2014

kiaf 2013 : Hamilton Aguiar

source: http://www.parkcitymagazine.com/Park-City-Magazine/Summer-Fall-2006/Hamilton-Aguiar/



Recent art works from wynwood art group : http://www.wynwoodartgroup.com/Artist-Detail.cfm?ArtistsID=672

Hamilton Aguiar

Hamilton Aguiar is tired, but you wouldn’t know it. Slight pauses in his animated dialogue, where he seems to be trying to remember what he’s talking about, are the only hint to how fatigued he really is. Then one of the pauses stretches to a lapse and he says, with an endearing giggle, “I’m sorry, I’ve been working day and night and haven’t slept in three days.” He may be exhausted, but it is a good sort of exhaustion; in fact, for this South American-born artist, sleep deprivation is all too familiar. And so is success.
Aguiar, who arrived in the United States almost 20 years ago knowing only a handful of English words, is now one of the country’s hottest new visual artists. His unique oil-on-silver-leaf silhouetted landscape paintings can be found in galleries in New York City, Aspen, Laguna Beach, Scottsdale, Boston and at our own Redstone Gallery in Park City. He’s also penetrated the art scene in several countries around the globe including Sweden, Japan, Korea, Germany and Canada. The Spring 2005 issue of Fine Art Magazine said of his paintings: “… his landscapes incorporate many historical elements while breaking new ground in technique and composition.”
With this kind of overwhelming sensation for his work, it would be easy to imagine Aguiar’s road to success paved with years struggling as a starving artist. To the contrary, since following a girlfriend from Brazil to New York state at age 21, Aguiar has embraced everything he’s done from house painting to owning a gallery in the same way. He now enjoys his art, considering each experience as an opportunity to better himself. “I’ve always looked at whatever I was doing at the time as part of the path that would lead me to something bigger,” Aguiar says. “I’ve always tried to enjoy whatever I was doing for what it was and learn from it.”
Not long after coming to the U.S., Aguiar knew he wanted to make America his permanent home and hired an immigration lawyer to help him get his Green Card. “As a thank you for her help, I did a painting for her,” he says. “She liked it so much that she said I should consider going into a field that allowed me to utilize my artistic talents.” The next day Aguiar enrolled in a decorative painting class in New York City. At the time, he was making a living as a house painter in the Hamptons and soon began incorporating faux finishing into his repertoire of services. One of his clients introduced him to Ken Verosko, one of the Big Apple’s most sought-after faux finishers. With Verosko, Aguiar worked on a number of large faux finishing projects including the Louisiana State Capitol building. “Ken had hired these two women from Germany who were master gilders to work on the project in Louisiana. Through them, I added gilding to my skill set,” Aguiar explains.
While growing his house painting and faux finishing business and collaborating on projects with Verosko, Aguiar continued to paint on canvas, mostly for himself. Then in 1999, his father had a heart attack, and Aguiar returned to Brazil. While there, he visited with an old friend and gallery owner. The friend knew Aguiar painted and invited him to participate in a small show he was hosting the following week. “Well, I had maybe one painting at that time,” Aguiar says. He worked day and night for five days to produce about eight paintings. At the show he was an unexpected hit, selling almost everything he’d produced, including one large piece for $10,000. “That’s when I started to think about my painting in a different way,” he says.
Buoyed by his artistic accomplishment in Brazil, Aguiar opened a gallery in South Hampton, New York when he returned to the States. The gallery hosted shows of artwork by Romero Britto, Norman Rockwell, Burton Morris, Thales and many Brazilian artists. Aguiar continued to supplement his income with gilding and faux finishing jobs.
About a year after opening the gallery, Aguiar met Nan Miller, a well-known gallery owner, publisher and art dealer. “Nan saw my work and told me that I was a faux finisher, gallery owner and artist, and that I needed to pick just one and focus on it. She told me she thought I should be an artist,” A year later, Aguiar closed his gallery and focused on creating his art full time.
Up until this point, Aguiar’s technique involved applying resin to canvas and then painting over it with oil paints. One midwinter day, however, as he was leaving a restaurant in the Hamptons, Aguiar paused to observe the sun reflecting off the fresh snow of a recent storm. “I felt something when I saw that image,” he says. “I wanted to capture that light.”
Aguiar returned to his studio with an idea. He applied silver leaf to a canvas and then used oils to paint a landscape over it. The next morning when he returned to his studio, two other artists he shared the space with were looking at his painting. “They first asked me how I did it and then told me they thought I had really hit on something,” Aguiar says.
Over the next several months, feedback for his silver-gilded paintings continued to be positive. Aguiar decided to take a leap of faith and enter himself as an unrepresented artist at the 2004 New York International Art Expo, widely considered the place where up-and-coming visual artists are discovered. Within two hours of the show’s opening, Aguiar sold half of the 20 paintings he’d brought with him. The other half were purchased by Bill Handler, art aficionado and owner of Park City’s Redstone Gallery. “We were eight months out from opening the gallery in Park City,” Handler says.
“But I knew even if we never opened the gallery, Hamilton was going to be a great commercial success and I’d always regret not at least purchasing his paintings for myself.”
At the end of Art Expo, Aguiar had more then a dozen commissions and, in addition to the Redstone Gallery, had made agreements with gallery owners in Aspen, Laguna Beach and Boston to carry his work. A short time later, Nan Miller signed on as Aguiar’s publisher and distributor. “The response to Hamilton’s work is like no other I have experienced in the 35 years I’ve been in this business,” Miller says. “Every gallery owner’s greatest desire is to find an artist whose talent is so unique and impressive that individual collectors and gallery owners alike need to have this artwork in their collections. Hamilton is that artist.”
Aguiar now employs two full-time gilders, but continues to complete all of the painting himself which, in light of exploding demand, is why he’s almost always tired. “I suppose I could train someone to reproduce some of my paintings, but that just wouldn’t be me,” Aguiar says. “I never know what I’m going to paint before I paint it and you can’t teach someone how to do that.”
Although Utah-based freelance writer Melissa Fields has yet to add pieces of world reknown to her collection, she has accumulated more than 100 works from a very promising up-and-coming artist: her 3 1/2-year-old son, Charlie.
See Hamilton Aguiar’s work at Park City’s Redstone Gallery, 1678 West Redstone Center Drive, 435.575.1000.

영화 김복남 살인사건의 전말

source: http://blog.ohmynews.com/specialin/343221

영화 '김복남 살인 사건의 전말'을 파헤치다

영화 여행 2010/09/11 07:18 꺄르르
영화 <김복남 살인 사건의 전말>은 대단한 작품입니다. 놀라운 영화란 얘기는 미리 듣던 터였는데 과연 입소문이 헛되지 않았다는 걸 느낄 수 있네요. 영화에 대해 인상비평을 하기보단 영화에 담긴 주제의식과 장치들에 대해 가름하고자 쓴 글입니다. 따라서 아래에는 영화 내용이 잔뜩 나옵니다.

왜 여자주인공 이름이 뜬금없이 복남이일까?

이름 김복남(서영희)부터 뭔가 찝찝합니다. 여자 이름이 김복남이라니! 물론 굳어진 성관념을 넘어서 여자라 하더라도 얼마든지 남자이름을 쓸 수 있습니다. 성별에 따라 이름이 딱 정해진 건 아니니까요. 요즘엔 어여쁜 남자이름도 얼마나 많은지요. 그러나 김복남이란 이름은 성에 얽매지 않는 자유로움을 뜻하기보단 예전 주말연속극 <아들과 딸>의 후남이란 이름과 마찬가지로 여성이 남자란 사슬에 갇혀있단 걸 드러냅니다.

태어나자마자 자신이 바라지 않아도 평생 짊어져야 하는 김복남이란 이름은 여자라는 이유만으로 업신여기겠다는 이 세상의 주홍글씨입니다. 태어나면서부터 인두질 당하듯 김복남이란 이름은 복남이라 불리는 여성에게 지울 수 없는 상처를 안겨주지요. 여자가 복있는 남자(복남)라 불리는데, 복되게 산다면 그게 더 야릇하겠지요.

복남이란 이름처럼 복남이의 삶은 펀펀하지 않습니다. 태어나서 한 번도 뭍에 가본 적 없는 섬여자 복남이는 온갖 등쌀과 닦달, 성폭행과 발길질에 시달립니다. 어쩜 저럴 수가 있을까 싶을 정도로 안타까운 장면들이 이어지지만, 저런 모습은 영화라서 저렇게 찍은 게 아닙니다. 조금만 눈을 돌리면 미처 몰랐더라도 옆집에서 벌어지는 일이기 십상입니다. 복남이의 고통은 한 여자의 수난이라기보다 여자라서 겪는 고난을 보여주니까요.
아빠란 남자에게 예쁨을 받고자 하는 딸 '연희'는 '여자'가 어떻게 만들어지는지 그 계보을 드러낸다


때리는 남자들보다 어정쩡하게 말리는 여자들이 더 밉다

이 영화는 단순히 남자들이 여자들을 이렇게 괴롭힌다는 걸 이르지 않습니다. 오히려 여자들 사이에서 벌어지는 성차별을 오싹하게 그려내죠. 복남이의 남편이나 시동생보다 관객들로 하여금 울컥하게 하는 사람들은 동호할매, 파주할매, 순이할매, 개똥할매들, 그리고 서울 친구 해원(지성원)입니다. 이들은 권력에 대들지 못한 채 애오라지 자기보다 약한 사람에게만 입방정 떠는, 일상에서 어렵지 않게 만나는 어리석은 사람들의 꼬락서니죠.

때리는 시어미보다 말리는 시누이가 더 밉다는, 어처구니없는 옛말을 잠깐 들여다보면, 왜 이런 말이 있는지 엿볼 수 있습니다. 할매들은 복남이가 쥐어터지고 쓰러진 채 헉헉대는 꼴을 보면서 조금 안쓰러워하지만, 그렇다고 복남이의 편에 서지 않습니다. 말리는 시누이가 더 미운 까닭은 이런 일이 빚어지는 얼개엔 눈썹하나 까딱하지 않기 때문이죠. 이 땅의 쌔고 쌘 시누이들은 올케가 자기 엄마에게 숱하게 머리털이 뽑히고 나서야 말리는 체 하지만 툭하면 뺨을 맞아야 하는 틀거리에 대해 꼬투리 잡진 않았습니다. 다만 너무 호되게 조지지 말라고만 할 뿐.

이런 시누이들처럼 이 할매들은 가부장제에 길들여진 여자들의 모습을 고스란히 알려줍니다. 여자들이 일을 도맡아 하는데도 ‘남자가 있어야 된다’는 얘기를 입버릇처럼 뇌까리고, 여자이면서도 여성을 낮잡으며 못 미더워하고 남자에게 기대려는 모습은 가부장제가 얼마나 여자들을 노예화하였는지 딱 까놓고 보여줍니다. 이런 여자들을 지켜보기란 메스꺼우면서도 스잔하지요.

그 무엇이 여자들로 하여금 남자들에게 굽실거리며 주눅 들게 만드는가?

그런데 가부장제에 왜 여자들이 굽실거리는지 이 영화는 놀랍게도 건드립니다. 일상에서 차별을 받으며 오랜 세월 종살이하였던 생활문화가 여자들을 주눅 들게 하고 미욱하게 만들었지만, 이것만으론 모자랍니다. 여자란 남자를 섬기고 떠받들어야 한다는 말뚝을 박는 게 있으니, 바로 남성 입맛대로 이뤄지는 성관계입니다.

아내가 집안에 있는데도 다방여자를 불러다 안방에서 성관계를 맺는 모습은 좀 심하다 싶지만, ‘성관계의 진실’이라 해도 지나치지 않을 성싶습니다. 성이란 보수성을 지닌 영역에선 남자는 ‘성욕의 주체’이지만 여자는 ‘남자들의 대상’으로 남아있으니까요. 성관계의 가지런함은 아직 만들어내지 못 했습니다. 여자들이 일부일처제란 허울을 믿고 결혼을 하지만, 남자들은 사부자기 안방에서 야동을 보고 바깥에서 걸핏하면 성매매를 하고 있으니까요.

그런데 더 소스라치는 건 이런 뒤틀린 성관계가 여자들로 하여금 울컥하게 하기보다 도리어 남자들 앞에서 고분고분 해지도록 만든다는 점입니다. 왜 자기 남편들을 다 죽게끔 한 치매할배가 곧 할매들에게 치켜세움 받았을까요? 할매들이 앞 다투어 치매할배의 ‘남근’에 끄달렸기 때문입니다. 일을 하지 않아 땀 한 방울 흘리지 않은 채 ‘맹꽁이잎’만 먹는데도 치매할배가 어엿하게 살 수 있는 까닭이죠. 진짜 여성해방을 이루려면 ‘남근’에서 벗어나는 한다는 말처럼 들리게 됩니다. 


더러운 리코더를 닦지도 않고 입에 문 복남이, 리코더에 맞아 쓰러지다

따라서 리코더는 아주 상징성 강한 장치로 쓰입니다. 리코더의 생김새를 굳이 남근과 견줄 까닭이야 없지만, 이 영화에선 남근의 대리물로서 작동하죠. 어린 복남이가 남이 물던 리코더를 닦지도 않고 입에 무는 장면도 복남이의 앞날을 가늠하게 하고, 남자애들이 리코더로 복남이를 때린 뒤 복남의 몸을 들추는 것도 이런 맥락입니다.

자신을 짓밟고 욕보이는, 더럽고 아니꼬운 남성질서에 구멍을 내고자 복남이는 낫을 들고 이리저리 휘두릅니다. 그러나 낫만으론 남성질서가 무너지지 않자 영화 막바지에 다른 곳도 아닌 남근을 겨냥해서 쇠망치를 내리칩니다. ‘남근’이란 남성권위에 치이고 족대김 당한 복남이는 어디를 부셔야 하는지 잘 알고 있던 것이죠.

하지만 한 여자가 대든다고 길고긴 세월 이뤄져온 남성지배가 휘우듬하지 않습니다. 남근질서는 아주 굳세고 검질기죠. 그리하여 복남이는 총에 맞아 죽지 않고 리코더에 ‘꽂혀’ 죽습니다. 그것도 자신을 건져주리라 믿었던 서울 친구에게 말이죠. 포스터에서 복남이와 해원이의 모습은 많은 걸 말해주고 있습니다. 오늘도 피 흘리며 남성사회를 욕망하는 수많은 여자들의 괴로움과 서글픔을.

세상의 악마가 어떻게 만들어지는가? <친절한 복남씨>의 탄생!

영화 <악마를 보았다>가 복수의 올바름을 물었다면, <김복남 살인 사건의 전말>은 한 발 더 나아갑니다. 세상의 악마들에게 침만 뱉지 말고, 그들이 어떻게 만들어지는지 알고 있냐며 묻습니다. 서울 친구가 잘 보여주듯 옆 사람을 악마로 만들고 세상살이를 섬뜩한 지옥으로 만드는 것은 사람들의 고개돌림입니다. 무관심을 머금고 사회는 갈수록 끔찍해집니다.

해원이가 복남이의 편지를 진작 뜯어보았다면, 조금 더 용기를 갖고 사회사달에 입을 열었다면 어땠을까요? 복남이의 고통은 보다 줄어들었을 테고, 해원이도 그렇게 쉽게 정리해고 당하지 않았겠죠. 사회는 사람들과 더불어 살아가는 곳이란 생각의 끈을 놓아버리면, 불쌍한 할머니를 매몰차게 내쫓고 후배 귀쌈을 아무렇지 않게 올려붙이는 괴물이 되기 십상입니다.

김기덕 영화와 박찬욱 영화가 불편함을 안겨주지만 그럼에도 사람들을 극장으로 불러 모으는 까닭은 끈덕진 폭력과 성이란 매체, 그 안에서 빚어지는 사람살이의 고약함을 잘 그려내기 때문이지요. 이 영화는 ‘김기덕 세계관’에다 <친절한 금자씨>가 버무려진 느낌입니다. 그야말로 <친절한 복남씨>의 탄생입니다.

Friday, January 10, 2014

Top 10 Big Data Stories Of 2013

source: http://www.informationweek.com/big-data/big-data-analytics/top-10-big-data-stories-of-2013/d/d-id/1113277?

Top 10 Big Data Stories Of 2013

Big data equals big opportunity -- and a surplus of hype. Catch up on the big data articles that interested readers most in 2013.
 Big Data Talent War: 7 Ways To Win
Big Data Talent War: 7 Ways To Win
(click image for larger view and for slideshow)
Big data ruled as one of the most popular tech topics of 2013, drawing reader interest along many different angles of coverage. Whether focused on careers and education, emerging platforms and technologies, or real-world use cases from healthcare to celebrity social networking, our big data coverage during the last year drew millions of page views.
For a look back at what you may have missed, here's our list of the top-ten big data headlines of 2013.
1. Big Data Analytics Master's Degrees: 20 Top Programs. Our detailed guide to well-known and emerging masters programs specifically targeting the big data analytics talent gap.
2. 7 Big Data Solutions Try To Reshape Healthcare. From Beth Israel Deaconess Medical Center to the University of Pittsburgh Medical Center, leading institutions and technology providers are applying big data to healthcare challenges in innovative ways.
3. 5 Big Wishes For Big Data Deployments. The industry made progress on a couple of these challenges in 2013 -- including SQL-on-Hadoop and stream processing -- but simplified deployment, management, and analysis remain works in progress.
4. Big Data's Surprising Uses: From Lady Gaga To CIA. Lady Gaga's manager created her Littlemonsters.com social network site by mining the singer's 31 million plus fans on Twitter and 51 million plus on Facebook. Now check out the eight other surprising uses covered in this image gallery.
5. Microsoft's Big Data Strategy: An Insider's View. In this in-depth interview, Microsoft executive Dave Campbell outlines plans for Hadoop, machine learning, high-performance computing, and data and analytic offerings on Azure.
6. Big Data Career Switch: 4 Key Points. Looking to retool your skillset to land a job in data science? Beware these issues as you consider university programs.
7. IBM And Big Data Disruption: Insider's View. IBM's Bob Picciano, general manager of Information Management, talks up five big data use cases and Hadoop-driven change -- and  slams SAP Hana and NoSQL databases.
8. NoSQL Vs. Hadoop: Big Data Spotlight At E2. This preview article about a panel discussion at the E2 conference seemed to strike a nerve. The premise: Hadoop is too often seen as a panacea while NoSQL databases are the unsung heroes. Do you agree?
9. Big Data Debate: Will Hadoop Become Dominant Platform? Well-known experts Dave Menninger of Pivotal and James Kobielus of IBM square off on the question of whether Hadoop will become the hub from which most data management activities will either integrate or originate.
10. Big Data: A Practical Definition. Today's hazy definitions don't clearly illustrate big data's benefits. A Hortonworks exec offers a pragmatic alternative.
There's still plenty of debate about just what big data means and whether it will turn out to be an overplayed or underplayed topic where the future of technology is concerned. In our view, data has always been invaluable to effective decision making, and the accuracy of decisions will only improve as we apply more data to important questions. We'll be there to follow the important big data advances in the year ahead. Happy New Year!
Doug Henschen is executive editor of InformationWeek, where he covers the intersection of enterprise applications with information management, business intelligence, big data and analytics. He previously served as editor-in-chief of Intelligent Enterprise, editor-in-chief of Transform Magazine, and executive editor at DM News.
There's no single migration path to the next generation of enterprise communications and collaboration systems and services, and Enterprise Connect delivers what you need to evaluate all the options. Register today and learn about the full range of platforms, services, and applications that comprise modern communications and collaboration systems. Register with code MPIWK and save $200 on the entire event and Tuesday-Thursday conference passes or for a Free Expo pass. It happens in Orlando, Fla., March 17-19.

Thursday, January 9, 2014

ETE 2012 - Nathan Marz on Storm

source: http://vimeo.com/40972420


ETE 2012 - Nathan Marz on Storm from Chariot Solutions on Vimeo.


From the abstract:
"Storm makes it easy to write and scale complex realtime computations on a cluster of computers, doing for realtime processing what Hadoop did for batch processing. Storm guarantees that every message will be processed. And it’s fast – you can process millions of messages per second with a small cluster. Best of all, you can write Storm topologies using any programming language. Storm was open-sourced by Twitter in September of 2011 and has since been adopted by numerous companies around the world.
Storm provides a small set of simple, easy to understand primitives. These primitives can be used to solve a stunning number of realtime computation problems, from stream processing to continuous computation to distributed RPC. In this talk you’ll learn:
- Developing and testing topologies using Storm’s local mode
- Deploying topologies on Storm clusters
- How Storm achieves fault-tolerance and guarantees data processing
- Computing intense functions on the fly in parallel using Distributed RPC
- Making realtime computations idempotent using transactional topologies
- Examples of production usage of Storm


- The concepts of Storm: streams, spouts, bolts, and topologies

Big Data 2014: Powering Up the Curve

source: http://blog.pentaho.com/2013/12/05/quentin-2014-big-data-predictions/

Big Data 2014: Powering Up the Curve

Last year, I predicted that 2013 would be the year big data analytics started to go into mainstream deployment and the research we recently commissioned with Enterprise Management Consultantsindicates that’s happened. What really surprised me though is the extent to which the demand for data blending has powered up the curve and I believe this trend will accelerate big data growth in 2014.
Prediction one: The big data ‘power curve’ in 2014 will be shaped by business users’ demand for data blending
Customers like Andrew Robbins of Paytronix and Andrea Dommers-Nilgen of TravelTainment, who recently spoke about their Pentaho projects at events in NY and London, both come from the business side and are achieving specific goals for their companies by blending big and relational data. Business users like these are getting inspired by the potential to tap into blended data to gain new insights from a 360 degree customer view, including the ability to analyze customer behavior patterns and predict the likelihood that customers will take advantage of targeted offers.
Prediction two: big data needs to play well with others!
Historically, big data projects have largely sat in the IT departments because of the technical skills needed and the growing and bewildering array of technologies that can be combined to build reference architectures. Customers must choose from the various commercial and open source technologies including Hadoop distributions, NoSQL databases, high-speed databases, analytics platforms and many other tools and plug-ins. But they also need to consider existing infrastructure including relational data and data warehouses and how they’ll fit into the picture.
The plus side of all this choice and diversity is that after decades of tyranny and ‘lock-in’ imposed by enterprise software vendors, in 2014, even greater buying power will shift to customers. But there are also challenges. It can be cumbersome to manage this heterogeneous data environment involved with big data analytics. It also means that IT will be looking for Big Data tools to help deploy and manage these complex emerging reference architectures, and to simplify them.  It will be incumbent on the Big Data technology vendors to play well with each other and work towards compatibility. After all, it’s the ability to access and manage information from multiple sources that will add value to big data analytics.
Prediction three: you will see even more rapid innovation from the big data open source community
New open source projects like Hadoop 2.0 and YARN, as the next generation Hadoop resource manager, will make the Hadoop infrastructure more interactive. New open source projects like STORM, a streaming communications protocol, will enable more real-time, on-demand blending of information in the big data ecosystem.
Since we announced the industry’s first native Hadoop connectors in 2010, we’ve been on a mission to make the transition to big data architectures easier and less risky in the context of this expanding ecosystem. In 2013 we made some massive breakthroughs towards this, starting with our most fundamental resource, the adaptive big data layer. This enables IT departments to feel smarter, safer and more confident about their reference architectures and open up big data solutions to people in the business, whether they be data scientists, data analysts, marketing operations analysts or line of business managers.
Prediction four: you can’t prepare for tomorrow with yesterday’s tools
We’re continuing to refine our platform to support the future of analytics. In 2014, we’ll release new functionality, upgrades and plug-ins to make it even easier and faster to move, blend and analyze relational and big data sources. We’re planning to improve the capabilities of the adaptive data layer and make it more secure and easy for customers to manage data flow. On the analytics side, we’re working to simplify data discovery on the fly for all business users and make it easier to find patterns and catch anomalies. In Pentaho Labs, we’ll continue to work with early adopters to cook up new technologies to bring things like predictive, machine data and real-time analytics into mainstream production.
As people in the business continue to see what’s possible with blended big data, I believe we’re going to witness some really exciting breakthroughs and results. I hope you’re as excited as I am about 2014!
Quentin Gallivan, CEO, Pentaho
Big-Data-2014-Predictions-Blog-Graphic

Predicting Big Data's 2014

source: http://www.zdnet.com/predicting-big-datas-2014-7000024189/

Predicting Big Data's 2014

Summary: A summary of Big Data new year predictions from Tableau, Tibco, Alteryx, Basho and Gainsight
There has been no shortage of new year's Big Data and Business Intelligence predictions in my inbox in the past month.  As the predictions have trickled in, I was unsure of the value of running any one slate of predictions as an article in itself.  But once they collected, I realized there's real value in reviewing a compilation of these predictions, seeing where they overlap, and appending a few predictions of my own.
The predictions come from a set of companies in the analytics world ranging from an Enterprise software company (TIBCO, makers of Spotfire); a publicly-traded Business Intelligence company (Tableau); an analytics applications platform start-up (Alteryx); a major NoSQL vendor (Basho); and a customer analytics company (Gainsight).  Together, these companies paint an interesting picture of what the analytics state-of-the-art and market will look like in 2014.
The overarching themes in most of the predictions are: Big Data technologies going mainstream; highly specialized areas of analytics becoming more accessible; an increased influence from cloud and mobile; the continued explosion of data volumes, driven by device- and machine-borne data; and disruption to the incumbent megavendors' hold on the database market.
Mainstream or bust
In the Big Data goes mainstream department, Alteryx predicts 2014 will be when "Hadoop Moves From Curiosity to Critical."  Gainsight imagines a world in 2014 where "People Stop Saying Big Data and Start Meaning It," adding "next year it's table stakes."  TIBCO's CTO, Matt Quinn, says "Big Data and all of its tools and technologies will need to move away from being science experiments, and more into the day-to-day, second-by-second operational decision making."
Another spin on analytics technology becoming more mainstream is that it becomes more applied as well.  Alteryx predicts that in 2014 "Big Data Brings Its 'A Game' in Marketing" and that "Predictive Analytics Will No Longer Be A Specialist Subject." Tableau agrees, surmising that "Predictive Analytics, once the realm of advanced and specialized systems, will move into the mainstream as businesses seek forward-looking rather than backward looking insight from data."
Gainsight says "Businesses Get Proactive by Leveraging Customer Data" and TIBCO's Quinn says "Big Data will focus more on value," explaining that "The challenge is no longer in storing the data...but how to extract value from it."
We're all data scientists nowA couple of companies on our panel are predicting that the high priesthood of data scientists will start to become less crucial as analytics tools become more accessible by business users.  Tableau goes so far as to predict "The end of data scientists," adding "Familiarity with data analysis becomes part of the skill set of ordinary business users, not experts."
Alteryx echos this sentiment with its own "Modern Analysts Matter More Than Data Scientists" prediction, saying "Empowering analysts in business departments with Big Data and analytics will become more important than filling the perceived need for millions of data scientists."  That sounds like a good answer to a problem that I've asserted previously, that "Data scientists don't scale."
Cloud and mobileTableau predicts that "Cloud business intelligence goes mainstream" in 2014, which is a bit ironic since the company only launched its paid cloud solution this year.  It also predicts "Big data finally goes to the sky."  Gainsight says "SaaS Will Become Table Stakes," and although that sentiment refers to the industry as a whole, we can pretty much bet that it applies to the world of Big Data in a prominent fashion.  Basho goes so far as to say "CIOs become cloud operators," expounding that this "will result in many organizations deploying a range of public and private cloud solutions."
TIBCO's view of Big Data and the cloud is encapsulated in its "Big Data will be used for security/cloud" prediction. Quinn expands on that thought, saying "Big Data will be stored and analyzed in the cloud and I expect the bulk of the 2014 data to be generated from cloud services across the stack from PaaS on up."
Moving from cloud to mobile, Tableau says "mobile business intelligence becomes the primary experience, not an occasional experience."  Interestingly, none of the other vendors addressed the question of mobile.  Although Alteryx calls out mobile devices as an important source of data in volume.
Data explosion
The volume and velocity of data shows no sign of letting up, according to most of our predictors.  As I said, Alteryx calls out mobile devices and location data in general as a big source.  Basho has two relevant predictions here, conjecturing that the "'Internet of Things' hits prime time, accelerating the data explosion" and "Your customers' experience will be measured in milliseconds, not seconds."
Measuring customer and market sentiment at such fine granularity has implications for both velocity and volume of data.  Tableau certainly doesn't disagree with Basho's assertion, predicting that "Organizations begin to analyze social data in earnest."
Disruption complexNot surprisingly, Alteryx, a start-up company, reasons that "A new data and analytics stack emerges with new solutions for databases, analytics and visualization, all disrupting the traditional mega-vendors."  Building on the new stack idea, Tableau sees a world in 2014 where "NoSQL technologies become more popular as companies seek ways to assimilate this kind of data."
This sword has two edges though: Basho thinks that the incursion of the new stack into IT will cause IT to demand some help, predicting "Strained Enterprise IT will demand operational simplicity from vendors."  Gainsight might agree, saying 2014 will be a "Big Year for EnterpriseTech IPOs" (emphasis mine).
IMHO, ho, ho
I think the consensus in the predictions we've just gone over serves as a reasonable validation of their efficacy.  I also think our collection of tech companies may have missed a few important potential developments for next year: Hadoop will become more integrated, embedded and less discrete; conventional databases will accommodate NoSQL/semi-structured data workloads, and the industry will consolidate.
With the release of Hadoop 2.0 and its YARN management layer, Hadoop is no longer tied to the MapReduce algorithm and batch processing; as such, it becomes more of a platform and an engine for distributed processing of data, and less of "product."  Additionally, the ability to process key/value data, JSON object/documents, sparse columns and other NoSQL data has already shown up in relational products like DB2 and Vertica, and that trend will continue.
With those opportunities for integration and consolidation of products, I believe it follows that companies will consolidate too.  I expect the Big Data world is teed up for the same kind of M&A activity that the BI world underwent, circa 2007.  
So don't count the enterprise companies out, because they are the likely buyers.  But don't despair, as this is in no way a zero-sum game.  Without all of the innovation of the last few years in the analytics world, the megavendors would likely be giving us another round of relatively minor, evolutionary upgrades in their database platforms.  As things now stand, in 2014, that would be a road that would lead to the industry wilderness.
Topic: Big Data

About 

Andrew J. Brust has worked in the software industry for 25 years as a developer, consultant, entrepreneur and CTO, specializing in application development, databases and business intelligence technology.

Big Data In 2014: 6 Bold Predictions

source: http://www.informationweek.com/big-data/big-data-analytics/big-data-in-2014-6-bold-predictions/d/d-id/1113091



Big Data In 2014: 6 Bold Predictions



'Tis the season when temperatures tumble, shoppers stumble, and prognosticators fumble, often. Will these big data prophecies come true?


How will big data evolve in 2014? The future is anyone's guess, of course, but we thought we'd compile a tasty holiday assortment of prognostications from executives working in the big data trenches. So without further delay, here they are -- six big data predictions for next year:
1. "More Hadoop projects will fail than succeed."That scary assessment is from Gary Nakamura, CEO of Concurrent, a big data application platform company. In a December 12 blog post, Nakamura made a few 2014 forecasts, including this not-so-rosy assessment of Hadoop:


2. Enterprises will focus less on big data and more on stepping up their data management game. 
"There's no doubt that companies' pursuits of big data initiatives have the best intentions to improve operational decision making across the enterprise. That being said, companies shouldn't get stuck on the term 'big data.' The true initiative and what they ultimately need to be concerned with is how they're implementing better data management practices that account for the variety and complexity of the data being acquired for analysis," Scott Schlesinger, a senior vice president for consulting and outsourcing giant Capgemini, told InformationWeek via email.

3. The pace of big data innovation in the open-source community will accelerate in 2014. 
"New open-source projects like Hadoop 2.0 and YARN, as the next-generation Hadoop resource manager, will make the Hadoop infrastructure more interactive. New open-source projects like STORM, a streaming communications protocol, will enable more real-time, on-demand blending of information in the big data ecosystem," wrote Quentin Gallivan, CEO of business analytics software firm Pentaho, in a December 5 blog post.

4. The need for automated tools will become increasingly critical.
"It seems that the more data we have, the more we want," John Joseph, VP of product marketing for analytics software firm Lavastorm Analytics told InformationWeek via email. "But as data volumes increase, the need for pattern matching, simulation, and predictive analytics technologies become more crucial. Engines that can automatically sift through the growing mass of data, identify issues or opportunities, and even take automated action to capitalize on those findings will be a necessity."

5. Beware, Oracle! 2014 will be the year of SQL on Hadoop. 
"I think you'll see people start building interactive applications on the Hadoop infrastructure. And what I mean by that -- and I think this is probably the most controversial thing -- is that people will start replacing their first-generation relational databases with SQL on Hadoop," said Monte Zweben, CEO of SQL-on-Hadoop database startup Splice Machine, in a phone interview with InformationWeek.

6. Big data flies to the cloud. 
"Big data has gained a lot of traction in 2013 but complex technologies are keeping many businesses from getting their solutions into production and generating a positive ROI. In 2014, businesses will look beyond the hype and turn to cloud solutions that generate fast time to value and do not require highly specialized dedicated skill sets, like Hadoop, to manage. 2014 will be the year that big data moves from buzzword to business imperative," said Sandy Steier, cofounder and CEO of cloud-based analytics firm 1010data, via email.
2. Enterprises will focus less on big data and more on stepping up their data management game. 
"There's no doubt that companies' pursuits of big data initiatives have the best intentions to improve operational decision making across the enterprise. That being said, companies shouldn't get stuck on the term 'big data.' The true initiative and what they ultimately need to be concerned with is how they're implementing better data management practices that account for the variety and complexity of the data being acquired for analysis," Scott Schlesinger, a senior vice president for consulting and outsourcing giant Capgemini, told InformationWeek via email.
3. The pace of big data innovation in the open-source community will accelerate in 2014. 
"New open-source projects like Hadoop 2.0 and YARN, as the next-generation Hadoop resource manager, will make the Hadoop infrastructure more interactive. New open-source projects like STORM, a streaming communications protocol, will enable more real-time, on-demand blending of information in the big data ecosystem," wrote Quentin Gallivan, CEO of business analytics software firm Pentaho, in a December 5 blog post.

4. The need for automated tools will become increasingly critical.
"It seems that the more data we have, the more we want," John Joseph, VP of product marketing for analytics software firm Lavastorm Analytics told InformationWeek via email. "But as data volumes increase, the need for pattern matching, simulation, and predictive analytics technologies become more crucial. Engines that can automatically sift through the growing mass of data, identify issues or opportunities, and even take automated action to capitalize on those findings will be a necessity."

5. Beware, Oracle! 2014 will be the year of SQL on Hadoop. 
"I think you'll see people start building interactive applications on the Hadoop infrastructure. And what I mean by that -- and I think this is probably the most controversial thing -- is that people will start replacing their first-generation relational databases with SQL on Hadoop," said Monte Zweben, CEO of SQL-on-Hadoop database startup Splice Machine, in a phone interview with InformationWeek.

6. Big data flies to the cloud. 
"Big data has gained a lot of traction in 2013 but complex technologies are keeping many businesses from getting their solutions into production and generating a positive ROI. In 2014, businesses will look beyond the hype and turn to cloud solutions that generate fast time to value and do not require highly specialized dedicated skill sets, like Hadoop, to manage. 2014 will be the year that big data moves from buzzword to business imperative," said Sandy Steier, cofounder and CEO of cloud-based analytics firm 1010data, via email.
3. The pace of big data innovation in the open-source community will accelerate in 2014. 
"New open-source projects like Hadoop 2.0 and YARN, as the next-generation Hadoop resource manager, will make the Hadoop infrastructure more interactive. New open-source projects like STORM, a streaming communications protocol, will enable more real-time, on-demand blending of information in the big data ecosystem," wrote Quentin Gallivan, CEO of business analytics software firm Pentaho, in a December 5 blog post.
4. The need for automated tools will become increasingly critical.
"It seems that the more data we have, the more we want," John Joseph, VP of product marketing for analytics software firm Lavastorm Analytics told InformationWeek via email. "But as data volumes increase, the need for pattern matching, simulation, and predictive analytics technologies become more crucial. Engines that can automatically sift through the growing mass of data, identify issues or opportunities, and even take automated action to capitalize on those findings will be a necessity."

5. Beware, Oracle! 2014 will be the year of SQL on Hadoop. 
"I think you'll see people start building interactive applications on the Hadoop infrastructure. And what I mean by that -- and I think this is probably the most controversial thing -- is that people will start replacing their first-generation relational databases with SQL on Hadoop," said Monte Zweben, CEO of SQL-on-Hadoop database startup Splice Machine, in a phone interview with InformationWeek.

6. Big data flies to the cloud. 
"Big data has gained a lot of traction in 2013 but complex technologies are keeping many businesses from getting their solutions into production and generating a positive ROI. In 2014, businesses will look beyond the hype and turn to cloud solutions that generate fast time to value and do not require highly specialized dedicated skill sets, like Hadoop, to manage. 2014 will be the year that big data moves from buzzword to business imperative," said Sandy Steier, cofounder and CEO of cloud-based analytics firm 1010data, via email.
4. The need for automated tools will become increasingly critical.
"It seems that the more data we have, the more we want," John Joseph, VP of product marketing for analytics software firm Lavastorm Analytics told InformationWeek via email. "But as data volumes increase, the need for pattern matching, simulation, and predictive analytics technologies become more crucial. Engines that can automatically sift through the growing mass of data, identify issues or opportunities, and even take automated action to capitalize on those findings will be a necessity."
5. Beware, Oracle! 2014 will be the year of SQL on Hadoop. 
"I think you'll see people start building interactive applications on the Hadoop infrastructure. And what I mean by that -- and I think this is probably the most controversial thing -- is that people will start replacing their first-generation relational databases with SQL on Hadoop," said Monte Zweben, CEO of SQL-on-Hadoop database startup Splice Machine, in a phone interview with InformationWeek.

6. Big data flies to the cloud. 
"Big data has gained a lot of traction in 2013 but complex technologies are keeping many businesses from getting their solutions into production and generating a positive ROI. In 2014, businesses will look beyond the hype and turn to cloud solutions that generate fast time to value and do not require highly specialized dedicated skill sets, like Hadoop, to manage. 2014 will be the year that big data moves from buzzword to business imperative," said Sandy Steier, cofounder and CEO of cloud-based analytics firm 1010data, via email.
5. Beware, Oracle! 2014 will be the year of SQL on Hadoop. 
"I think you'll see people start building interactive applications on the Hadoop infrastructure. And what I mean by that -- and I think this is probably the most controversial thing -- is that people will start replacing their first-generation relational databases with SQL on Hadoop," said Monte Zweben, CEO of SQL-on-Hadoop database startup Splice Machine, in a phone interview with InformationWeek.
6. Big data flies to the cloud. 
"Big data has gained a lot of traction in 2013 but complex technologies are keeping many businesses from getting their solutions into production and generating a positive ROI. In 2014, businesses will look beyond the hype and turn to cloud solutions that generate fast time to value and do not require highly specialized dedicated skill sets, like Hadoop, to manage. 2014 will be the year that big data moves from buzzword to business imperative," said Sandy Steier, cofounder and CEO of cloud-based analytics firm 1010data, via email.
6. Big data flies to the cloud. 
"Big data has gained a lot of traction in 2013 but complex technologies are keeping many businesses from getting their solutions into production and generating a positive ROI. In 2014, businesses will look beyond the hype and turn to cloud solutions that generate fast time to value and do not require highly specialized dedicated skill sets, like Hadoop, to manage. 2014 will be the year that big data moves from buzzword to business imperative," said Sandy Steier, cofounder and CEO of cloud-based analytics firm 1010data, via email.
How will big data evolve in 2014? The future is anyone's guess, of course, but we thought we'd compile a tasty holiday assortment of prognostications from executives working in the big data trenches. So without further delay, here they are -- six big data predictions for next year:
1. "More Hadoop projects will fail than succeed."
"More Hadoop projects will be swept under the rug as businesses devote major resources to their big data projects before doing their due diligence, which results in a costly, disillusioning project failure. We may not hear about most of the failures, of course, but the successes will clearly demonstrate the importance of using the right tools. The right big data toolkit will enable organizations to easily carry forward the success of these projects, as well as further insert their value into their business processes for market advantage."
[Who are next year's rising stars in business intelligence? Read 2014 BI Outlook: Who's Hot, Who's Not.]
Jeff Bertolucci is a technology journalist in Los Angeles who writes mostly for Kiplinger's Personal Finance, the Saturday Evening Post, and InformationWeek.
IT groups need data analytics software that's visual and accessible. Vendors are getting the message. Also in the State Of Analytics issue of InformationWeek: SAP CEO envisions a younger, greener, cloudier company. (Free registration required.)