Archive for Big Data
Ericsson Athlone is looking for a Big Data/Data Layer Architect.
The Big Data/Data Layer Architect has overall responsibility for driving the major technical decisions, expressed as the software architecture. This typically includes identifying and documenting the architecturally significant aspects, component and deployment of the system. You will be responsible to drive the implementation of the data layer for the Ericsson OSS product and is responsible to ensure all non-functional requirements will be met and proven within the market. For more information, or to apply, please visit: http://bit.ly/1FNSCfq
Ericsson Network IQ Statistics is a performance management application for multi-vendor and multi-technology environments. It collects and processes data for use in performance reporting and resource planning.
Ericsson Athlone is looking for an Experienced Integration Solution Designer. The role involves the development and automation of integration, installation and upgrade solutions for the OSS and Eniq products. Think this is you? Please click here to know more or apply:
Big data is very topical at he moment with Edward Snowden so much in the news for blowing the whistle on Prism, and whatever your views on it, Big Data is undeniably the technological Zeitgeist. As you may or may not know, big data is a favorite topic of mine, that’s why it was with regret that I missed the Jaspersoft Breakfast Seminar last week in Dublin. On the bright side though, Jaspersoft have been kind enough to make materials available online. The slides make for interesting reading, so much so, I’ve decided to set up my Hadoop/MongoDB lab over the weekend (wish me luck!).
The slides are available (although the link to Bryan Drexlers slides is currently broken) here, and are comprehensive from an overview of the area (for example, did you know that 90% of the data in the world was created in the last 2 years?) to pragmatic and straightforward advice on building interactive dashboards from Raphaël Peguet. You can view the slides here: https://www.jaspersoft.com/event/big-data-analysis-made-easy
Great to see these tools becoming more and more powerful and accessible. It would be great to see Jaspersoft develop a predictive modelling application to compete with the open-source Weka or SAS. Here’s hoping.
Were always interested in hearing from you if you are a Senior Java professional. We have a large Product Development Unit (PDU) in Athlone that is working on cutting edge solutions such as SON, Hadoop and others. Here is what we are currently hiring:
A great coup for NUI Galway as they landed the role for leading Ireland’s involvement in the €3m EU project Big Data Public Private Forum (BIG).
According to NUI, The BIG project aims to:
provide a platform for industry, research, policy makers, and community initiatives to discuss the challenges of Big Data and the emerging Data Economy. The project is developing a requirements roadmap together with action plans for addressing these challenges at the European-level. The project sees eleven companies, research institutions and community initiatives from six European countries join forces to tackle issue surrounding Big Data
For more, you can visit the NUI Galway website here: http://www.nuigalway.ie/about-us/news-and-events/news-archive/2013/april2013/3-million-eu-project-to-roadmap-a-big-data-strategy-for-europe.html
There is a new Tax in Ireland, called the Local Property Tax. (LPT). All property owners are being sent an estimate of their property value by the Revenue Commissioners (the Irish name for the taxman). Based off this estimate, the owner will have to pay a tax of between €90 and €1775 per year.
A couple of friends of mine (from Dublin Institute of Technology) have hit upon a very clever idea with Data Analystics/Big Data. They have created a master dataset from a variety of sources (they were very tight lipped about exactly where), cleansed it and are using it to perform analysis of property values all over Ireland.
Their method is top secret, but they did tell me that it involves aspects of kNN (K Nearest Neighbour) and Bayesian Classification in a hybrid which they call “POND”.
Anyway – the outcome is they are offering to see (for free) if they can beat the taxman’s estimate, and if they can you can purchase a full report from them that you can use to save you paying the incorrect tax.
If you are liable for this tax, I’d encourage you to take a look at their website and give it a go: http://freelpt.com