Archive for April, 2013

IBM acquiert UrbanCode

UrbanCode

 

24 avril 2013 – IBM a annoncé aujourd’hui l’acquisition de l’entreprise UrbanCode. Basée à Cleveland, Ohio, UrbanCode automatise le lancement d’applications et aide les entreprises à mettre rapidement sur le marché des applications liées à la mobilité, au Big Data, au Cloud Computing et au social business, ainsi que leur mise à jour.

Les technologies liées à la mobilité, au social business, au Big Data et au Cloud Computing sont en train de créer une demande nécessitant la mise à disposition plus rapide d’applications logicielles. Aujourd’hui, attendre des jours, voire des mois, afin de fournir une mise à jour logicielle aux clients n’est plus concevable. Avec les technologies d’UrbanCode, les entreprises peuvent réduire de quelques mois à quelques minutes la durée nécessaire pour la commercialisation des nouvelles applications ou des mises à jour.… Read more

In the wake of the Boston Marathon bombings a new hero emerges: technology

Got him

By:  Gregory P. Bufithis, Founder & CEO

22 April 2013 – In the wake of the Boston Marathon bombings we saw a new hero emerge: technology. The fast responses of medical professionals already onsite likely saved numerous lives. Furthermore, those runners that finished the race and then continued on to donate blood at the local hospital should be praised as well. The human element, no doubt, played a vital role in minimizing casualties and helping people get medical attention quickly.

But as we read and analyzed the situation, saw what law enforcement and public officials were doing, we saw the new tools at their disposal, all from technology.

According to numerous media sources reporting on the Boston Marathon bomb attack, the FBI collected more than 10 terabytes of video and mobile phone data.  Within hours of obtaining identifications of the Boston marathon bombing suspects, police obtained search warrants and extensive digital records from mobile phone networks and social media and e-mail providers.  The data included call logs collected by cellphone towers along the marathon route and surveillance footage collected by … Read more

Key “Big Data” terms you should know [ with video of Jakob Homan of LinkedIn putting it in perspective]

Big Data Haddop NoSQL word merge

 

16 April 2013 – Here is a very short list of the key Big Data terms that you should know and a very brief explanation of what it is in simple language:

1.  Hadoop: System for processing very large data sets
2. HDFS or Hadoop Distributed File System: For storage of large volume of data (key elements – Datanodes, Namenode and Tasktracker)
3.  MapReduce: Think of it as Assembly level language for distributed computing. Used for computation in Hadoop
4.  Pig: Developed by Yahoo. It is a higher level language than MapReduce
5.  Hive: Higher level language developed by Facebook with SQL like syntax
6.  Apache HBase: For real-time access to Hadoop data
7.  Accumulo: Improved HBase with new features like cell level security
8.  AVRO: New data serialization format (protocol buffers etc.)
9.  Apache ZooKeeper: Distributed co-ordination system
10.  HCatalog: For combining meta store of Hive and merging with what Pig does
11.  Oozie: Scheduling system developed by Yahoo
12.  Flume: Log aggregation system
13.  Whirr: For automating hadoop cluster processing
14.  Sqoop: For transfering structured data to … Read more

Visualizing the Paris metro system

Parisian subway 625x367

 

16 April 2013 – Data visualization group Dataveyes looks closer at the Paris metro system from a time and crowd point of view:  

This visualization offers to challenge the way we traditionally view our 2D metro maps. Métropolitain takes on an unexpected gamble: using cold, abstract figures to take the pulse of a hectic and feverish metropolis. The metro map is no longer arbitrarily dictated by the spatial distance between two points. By playing around with two extra variables — time and crowds — users can transform the map, view it in 3D and unveil the true reality behind their daily commute.

No doubt inspired by the Travel Time Tube Map of the London Underground by Tom Carden, Métropolitain lets you select a station and the lines morph to represent how long it takes to get to other stations. A layer underneath is a heatmap that shows annual incoming traffic per station.

Finally, you can switch between 2-D and 3-D. I’m not sure if the extra dimension adds much from an understanding point of view, but it is … Read more

Laws as algorithms: converting simple laws to machine-readable code

Robot

 

13 April 2013 – The legal industry remains Lady GaGa-ed with Richard Susskind and his pronouncements on the deep and rapid technological advances (of the disruptive kind) leading to major threats to various aspects of the traditional law firm business model, and the relentless connectivity in the burgeoning electronic legal marketplace. He has his critics and even he was somewhat self-deprecating in a recent Oxford University Press blog when he said “the uncharitable might say that I write the same book every four years or so. Some critics certainly accuse me of having said the same thing for many years. I don’t disagree. Since the early 80s, my enduring interest has been in the ways in which technology can modernize and improve the work of the legal profession and the courts. My main underpinning conviction has indeed not changed: that legal work is document and information intensive, and that a whole host of information technologies can and should streamline and sometimes even overhaul traditional methods of practicing law and administering justice.”

His recent book does have a lot of … Read more

IBM: a culture of innovation and analytics

 

IBM collage

 

11 April 2013 – It was a wild, wacky, exhilarating ride at the Mobile World Congress this year, much of it spent with the IBM team. This was the second year in a row I had the opportunity to spend a fair amount of time with the IBM telecom team and members of the Watson team in attendance.  Paul Bloom, Chief Technology Officer for Telecom Research, gave us riviting summary … it was a lot of info, a lot of subjects, and a lot of arcane technology but he made it interesting and fun … of what IBM is doing in the communications industry which is dealing with an explosion of data in the connected world.  We talked about escalating traffic loads, ever-increasing network and customer data, and keeping a competitive advantage.  We talked about Watson and how the technology can improve communications by applying analytics to manage network bottlenecks, how customer customer interaction with call centers can rise to new levels (more about that below), and just the developments in more natural man/machine collaboration.

I also … Read more

E-Discovery Concerns Must Be Addressed Before Moving Data to the Cloud

 

Cartoon about cloud computing

11 April 2013 – If you begin with the following assumption:

As businesses move more applications and data to cloud services, those businesses inevitably are going to find themselves in litigation with the need to retrieve electronically stored information (ESI) from the cloud to comply with their e-discovery obligations.”

….then it makes a lot of sense to make sure that you do not forget about e-discovery when you are considering moving your company’s data to the cloud environment.

In what our staff believes to be one of the better postings on this important risk mitigation topic, they would like to bring your attention to a recent article, written by Jay Yurkiw, and  posted on the Technology Law Source blog, which clearly presents some great tips on how businesses can better manage their e-discovery risks —whether they are just considering a move to the cloud or even if they have already made that move.

For more click here.… Read more

Cloud Forensics with F-Response

Cloud computing forensics

 

9 April 2013 – Like many great inventions, the idea behind F-Response is so simple and elegant it is hard not to punish yourself for not thinking of it. Using the iSCSI protocol to provide read-only mounting of remote devices opens up a wealth of options for those of us working in geographically dispersed environments. I have used it for everything from remote imaging to fast forensic triage to live memory analysis. F-Response is vendor-neutral and tool independent, essentially opening up a network pipe to remote devices and allowing the freedom of using nearly any tool in your kit. The product is so good, I really wouldn’t blame them for just sitting back and counting their money. Luckily, counting money gets boring fast, so instead the folks at F-Response have kept innovating and adding value. Their latest additions are new “Connector” tools: Database, Cloud, and Email.

Now is the time to start planning how to acquire forensic copies of all that data your organization is pushing to cloud providers. Hopefully you already have established agreements and processes in place … Read more

Don’t Forget About E-Discovery When Moving To The Cloud

eDiscovery Cloud Computing 150 x 112

 

9 April 2013 – As businesses move more applications and data to cloud services (e.g., Google Apps for Business, Salesforce.com, Amazon S3, etc.), they inevitably are going to find themselves in litigation with the need to retrieve electronically stored information (ESI) from the cloud to comply with their e-discovery obligations. While the risks of e-discovery likely will not keep any businesses away from public cloud services altogether, businesses at least should plan for how they are going to meet the demands of e-discovery in the cloud when litigation arises.

Following are some tips on how businesses can manage their e-discovery risks if they are considering a move to a cloud or if they have already made the move:

For more click here.… Read more

If Hadoop was easy … well, then everyone would be doing it

Big Data Hadoop word conglomeration

 

3 April 2013 – One of our “must reads” of late has been IBM Data Magazine (available in print and digital) because of its clear, in-depth technical advice and hands-on examples on the latest topics in data management, IBM databases, and Big Data. It’s coterie of columnists include Tom Deutsch on Big Data, Paula Wiles Sigmon on Governance, and James Kobielus who writes our favorite column “Rocketship to Planet Petabyte”.  From the current issue:

The advantages of enhancing an analytic ecosystem with Apache Hadoop capabilities to leverage unstructured data have never been clearer. Just a few years ago, this technology was not available to enterprises—all we had was good-old structured data in the data warehouse. Today, though, the picture is very different. Hadoop is presenting tremendous opportunities to evolve from traditional data warehousing to big data platforms where organizations can process all kinds of data.

At IBM, we’ve spent quite a bit of time looking at how customers are leveraging big data technologies. Five key use cases have emerged:

  1. Enriching an organization’s information base with big data exploration
  2. Improving
Read more