Light my bonfire

It is almost a cliche: put a bunch of 20-somethings together and the first business they want to start is building their own iPhone app. The second kind of business is something involving social media. And the third is something with sharing photos.

Yet if you look beyond these broad strokes there is something to be said with what a group of young entrepreneurs are doing in St. Louis with an app called BonfyreApp.com. It could be something that will change that social/mobile/photo space in spite of being part of that triple trendy collection of categories.

I have to say I was very unimpressed when I first heard about it, and was shown the app by one of its founders. Ho hum. Yet Another Social Mobile App. I showed it to my 20-something daughter, who also pointedly yawned. “Dad, I already spend enough time on Facebook and don’t need another network,” she told me.

But the audience for Bonfyre isn’t necessarily another medium for posting pix of people holding red cups filled with intoxicants. It is designed for brand owners to build engaging meetings and to tell their stories. When you pitch their idea that way, it begins to make sense.

When you go to a conference,assuming the conference is any good, you want to bottle some of that good feeling you get from the time spent and preserve those memories. Yeah, and you get the tote bag or backpack too. Maybe you want to capture a few scenes from the speaker’s presentations, or remember some of the folks that you met. Or whatever. So how do you do it now? Rather crudely, with a combination of Facebook photos, LinkedIn groups, email and texts. Links to Instagram or Pinterest photo collections. And a batch of business cards that if you were lucky you either scanned or annotated so you remember who that person was that you met.

The problem is that your stored common memory of the event is all over the place. None of the above mechanisms really work well. Facebook is too public, and navigating its sharing and privacy controls are like trying to set up the next NASA launch (or whomever is launching rockets these days). Texting is great if you want to share one or two photos with one or two people, but breaks down in the many-to-many context rather quickly. The LinkedIn group with its triple opt-in takes months to actually create and get going, by which time the group has moved on to other matters (and doesn’t really work anyway for sharing photos). And the stack of business cards gathers dust quickly as the memory of each individual fades.

That is the space where Bonfyre is trying to enter. The idea is that anyone can download the app to their phone and create these quick discussion groups and invite anyone else to them. There is a Web app for monitoring your discussions. You can be up and sharing content with specific people within minutes. No one else can view the content, unless they are invited in. Once the discussion is created, everyone in the group sees everything. It is mainly for sharing and commenting on photos, but you can also share messages too.Think of it as the virtual tote bag that can preserve your memories of the event.

I began to see the light when I was going to a party a few months ago, a party put on by the Bonfyre PR firm. That day I happened to be having lunch with one of Bonfyre’s founders. He showed me the discussion that was started by the PR firm’s owner, who was trying to figure out what shoes she should wear that night and had photographed several choices. Suddenly we were photographing our own sneakers and putting them online. Soon other attendee’s shoe pictures followed.

Now, granted this was our interpretation of the infamous red cup pix of so many 20-somethings’ nights out, but that is partly my point: no one else was going to see these pictures, unless you were going to the party. And we all had a good laugh when we finally got to the party and looked at each other’s feet.

But now let’s take this silly moment and move into what is actually happening with the Bonfyre app by meeting and event planners. At one conference of 500 people, 60% of the attendees were running the app, and 60% of them were sharing content with each other. At a Rams football game, they had 2000 people at the stadium using the app, and these people uploaded almost as many photos as the entire half million Facebook fans of the Rams. Think about that for a moment: you have all these folks in the stadium sharing their memories of the game with each other, interacting with each other and with folks watching the game around the world. If you were the marketing director of the Rams, wouldn’t you want to reach those folks and leverage this interest? If you were a Rams advertiser, wouldn’t you want to connect with these people, perhaps offer them something? Now you begin to see the power of what Bonfyre can do.

They haven’t gotten everything worked out yet: how they charge businesses, getting their analytics act together, and hiring a real sales team to promote their own brand still remain on the to do list. But this is one mobile, social, photo sharing app that you should take a closer look at. No matter how old you are. Try it at your next meeting or corporate event, and see if you can light your own bonfire.

ITworld: Try out your Hadoop app on the world’s largest cluster

Are you looking to be on the cutting edge of Big Data? How would you like to test and refine your Hadoop application to see if it can handle the largest known cluster? Then you might be interested in what EMC’s Greenplum unit is doing in its Las Vegas data center, where anyone can make use of their facility for free. Yes, you read that correctly. It has been in operation for less than a year, and is already getting rave reviews from more than a dozen different customers from all over the world.

I interviewed several customers of the cluster for a recent story in ITworld here.

Blogger in residence at SailPoint’s Navigate user conference

One of the more fun gigs I have is being the blogger on the ground during an event, and posting commentary and analysis in near-real-time on the sponsoring company’s blog. Today I am in Austin, along with a few hundred other identity geeks from the world’s largest companies at the SailPoint Navigate13 user conference. You can read my posts here on SailPoint’s blog:

In addition to this work, I also have written these articles on other blogs about what I saw at the conference:

ITworld: How smart crowds are solving big data problems

Holding contests for improving data science models is no longer news, thanks in large part to Kaggle and several of its competitors. But what is changing is the nature of how private businesses and government agencies are interacting with the growing data science community, and how these projects are being used to further their own operations. Companies as diverse as Allstate Insurance, Microsoft, GE, GM and NASA have run prominent contests with positive results.

The contests are a way to bring outside and fresh perspectives to a thorny business problem, attract attention and new talent, and also provide some excitement in some pretty nerdy areas that normally don’t get front-page headlines.

You can read the rest of the story on ITWorld here.

Slashdot: How Kooky Kaggle Contests Advance Data Science

Kaggle.com lets organizations and individuals post problems to its massive community of scientists. The prospect of crowdsourcing some of the world’s thorniest data conundrums is evidently a popular one: more than 82,000 people from 100 countries have signed on.

I have to say that I am a big fan (from afar) of Kaggle, mainly because of my training. One of my hardest but most fun classes when I was an engineering graduate student was a class in building mathematical models, which is what we called data science back in the day.

You can read my article, posted today to Slashdot/BI here, and see five of my favorite contests.

 

Slashdot: Game Studios at the Forefront of Big Data

If you want to see the future of Big Data, look no further than the nearest gaming-development studio. It isn’t all fun and first-person-shooting. Game developers are the sentinels of a variety of advanced IT techniques, placing them in front of the general IT population with regard to using real-time analytics and cloud computing, among other areas.

You can read the rest of my article on Slashdot published here today where I interview some of the leading game developers and what they are doing with BI tools.

ArsTechnica: What lies ahead in the world of networking

Tomorrow’s data center is going to look very different from today’s. Processors, systems, and storage are getting better integrated, more virtualized, and more capable at making use of greater networking and Internet bandwidth. At the heart of these changes are major advances in networking. In my story for ArsTechnica, I examine six specific trends driving the evolution of the next-generation data center and discuss what both IT insiders and end-user departments outside of IT need to do to prepare for these changes.

Need to test your Hadoop app on a thousand nodes? Here’s how.

It isn’t often that you can get access to a thousand-node network to test your latest app, but thanks to the efforts of EMC’s Greenplum unit and some additional computing vendors, you can, and more amazingly, it is free of charge too.

The network was announced last fall at Strata and connects 1,000 specialized servers from Supermicro running dual Intel Xeon processors with 48 GB of RAM apiece along with Mellanox 10 GB Ethernet adapters and switches, and a total of 12,000 Seagate 2 TB drives. It is all contained within Greenplum’s Las Vegas data center, with the goal of having the largest publically accessible Hadoop cluster around. While Yahoo and eBay and others have some fairly large Hadoop clusters, they generally don’t let anyone else come in and try out their apps. The cluster goes under the name of Analytics Workbench. On this page, you can click on the “learn more” button and submit your name if you are interested in using the cluster.

The goal, according to Greenplum staffers, is to have a community and collaborative big data platform that can be applied to a set of analytical problems that have wide appeal. When the Strata announcement was made last fall, Greenplum stated that they wanted to eventually publish any results from the cluster, but they haven’t yet. Intel was one of the first clients to use the workbench (and running a thousand-node job too), but they are still reviewing their results.

Other clients that are running tests on the cluster include Mellanox and VMware, who both donated gear to power it, and a research team from the University of Central Florida. A group from NASA Goddard is using it to perform an analysis of historical weather patterns. The cluster formally opened up in July, and yes, it is really is free of charge. Applicants need to be vetted and work closely with the Greenplum engineers to get their apps uploaded and configured to the cluster.

“We accept bids based on any submitted application and developers can request specific time and resources,” says William Davis, one of the Greenplum product marketers involved with the cluster’s creation. Applications are reviewed by an internal group of Hadoop experts called the Jedi Council, and they try to select who will have the best fit for the next test run on the cluster.

Greenplum intends to use the cluster in a variety of ways besides public testing. Sometime next quarter they will launch a training program for Hadoop. A unique aspect of the program is that each member of the course will be granted access to the cluster to use as a sandbox environment for their own project. They are still working out the details on how this will work. The company has other fee-based programs to leverage its experience with this cluster, including what it calls its Analytics Lab packages. This uses their team of data scientists on specific vertical markets or particular custom applications.

There are several other tools that are offered on the cluster in addition to Hadoop including MapReduce, the parallel job processing software; VMware’s Rubicon system management team; and standard Hadoop add-ons such as Hive, Pig, and Mahout.

Greenplum isn’t the first to have such a large test bed assembled, but probably the first to use this level of gear for Hadoop and other data science activities. In the late 1980s, a group of Novell engineers in Utah created the “SuperLab” which eventually grew to1,700 PCs connected together. The lab was used to prove the features and scalability of Novell’s Netware network operating system, a piece of software that at one time could be found in most enterprises but now is largely a historical curiosity. Just to give you some perspective, in 1999 the PCs in Novell’s lab had a whopping 256 MB of RAM and 8 GB of storage (try buying that on today’s PCs). How times have changed.

Anyway, the SuperLab team left Novell a few years later and built their own private test lab for a startup called Keylabs. I was one of their early customers, using the facility to publish some of the test results in cNet and other IT publications of the first Web server comparison tests.

The Keylabs engineers very quickly discovered that automating the sequencing and actions of the individual PCs was tedious, and they wrote software that eventually spawned Altiris. Part of the assets of this company was later purchased by Symantec and is still used for their desktop imaging and management tool line.

Speaking of scaling up to a thousand machines automatically, running tests on this scale can be tricky. Greenplum has already seen several hardware failures that take down particular nodes as they have begun using their cluster. And like Keylabs, understanding how to sequence all this gear to come online quickly can be vexing: imagine if each machine takes just ten minutes to boot up and launch an app: times ten or twenty nodes that isn’t much of a big deal, but when you are trying to bring up hundreds it could tie up the cluster for the better part of a week in just starting up the tests. “It is a bit of a challenge in educating our customers on how to use and manage something of this size and how to deploy their software across the entire cluster. You can’t deploy software serially, and we have to make sure that our customers understand these issues,” says Davis.

So get your application in now for testing your app. You could be making computing history.

Slashdot: Big Data Meets Big Box: How Two St. Louis Startups are Changing the Retail Game

foodTwo St. Louis startups are working independently to change the way we shop for the basics such as groceries and hardware, with core strategies that rely on Big Data collections to transform the buying process and improve the flow of information from consumers to retailers and brands.

The startups are Aisle411.com and FoodEssentials.com. You can read more about what they are doing on Slashdot/BI here.

Slashdot: For Riot Games, Big Data Is Serious Business

riot games why hadoopWhen we think of firms that leverage Big Data analytics, we tend to think of large retailers, stuffy insurance companies, and maybe the occasional dot-com business such as Netflix or eBay. Chances are, few of these places explicitly encourage their Hadoop developers to actually play video games during the workday.

Welcome to Riot Games. You can read my story about how they came to be such Big Data adopters on Slashdot/BI here.