What has changed?
For decades, POS workplaces have been built on standard PCs. Starting with DOS, then moving to other operating systems, COM-ports have been replaced by USB, but the situation hasn’t changed much: industrial PCs are put inside a specially designed computer casing.
Traffic accidents in the UK, 1979-2004.
Whether you are a journalist, a researcher or a data geek, in order to start working with large data sets, you have to complete laborious tasks of setting-up an infrastructure, configuring an environment, learning new unfamiliar tools and coding complicated apps – with DC/OS you can start crunching those numbers within minutes.
Let’s start with a problem of analyzing a set of data and take a road safety data from Great Britain, 1979-2004. While the data set might seem small, some of the analysis might require distributed processing and we should have an environment that allows our processing jobs to scale horizontally. To achieve this, we’ll be running a DC/OS cluster on top of a cluster of virtual machines. We’ll be using AWS EC2 in this scenario, but the same solution can be ported to other public and private clouds.
Why would one create a package?
Once you get familiar with DC/OS, the open source project that was created by Mesosphere you get access to packages certified by Mesosphere. There are several ways to deploy your service into DC/OS: (1) use dcos marathon command in CLI; (2) use Marathon REST API directly; (3) deploy your service as a package. Using package approach makes your solution consistent with the environment and gives other benefits.
Anyone who has been abroad knows that currency conversion occurs whenever you pay with a credit or debit card. However, many don’t understand why charges are relatively high. To help explain the issue, let me explain how your payments happen overseas.
As soon as you return from your trip, you can compare receipts in foreign currency with your billing. A quick check will show that you have paid 5% more than you expected for the conversion. How did that happen?
The Third Annual Wearable Technology Show was held at London’s ExCel conference center on 15th-16th of March. There were over 140 exhibitors, nine tracks and more than 40 product launches to keep technology executives on their toes.
Healthcare & Life Science, Travel & Hospitality and Betting & iGambling Practices of DataArt exhibited at the event and demoed many of our concept products, examples of how technology brings business value. Here are some of them: KidPRO uses gamification to motivate and engage young patients while managing their own healthcare or participating in a clinical trial. MedAR is an augmented reality app that recognizes medications and provides all relevant information about it. Pills Adjutant simplifies medication adherence. Tiredness Checker helps users check their tiredness level. SmartBet and WatchSlots apps bring quick bets and slots to your wrist.
Information technology has always been full of surprisingly contradicting beliefs and every market, product or community has its own FAQ list or Top 10 Myths whitepaper. This week brought another “myth case” to my desk. Though it has been around for several years already, it is still hot. While my fellow database developers are busy completing another data warehousing project (“traditional” relational solution, by the way) for a travel firm, our marketing department approached me with the discussion of how we can define our new data warehousing offering. The question and concern was: “Hasn’t big data killed data warehousing already?”
The Scope Summit was held on February 23-25 at the Hyatt Regency in Miami and attracted a record 1200+ attendees. It brought together the leading senior-level industry representatives and provided a great platform for networking, in-depth discussions and insightful keynotes.
My focus was in the area of advancing clinical research with technology and innovation. One of the most interesting talks was by Craig Lipset, Head of Clinical Innovation at Pfizer, who applied the concept of Gartner’s Hype Cycle to clinical trial technologies.
On 27 February – 2 March, DataArt exhibited with Canonical at Mobile World Congress in Barcelona. More than 2,000 exhibitors and 100,000 attendees gathered in an arena bursting with networking opportunities to present and absorb the latest technological developments and next generation services of the mobile industry.
The big trends this year were the Internet of Things, Big Data, Cloud, VR and 5G. Almost every booth had an IoT demo stand. Cars, refrigerators, smart home solutions, low energy sensors, and the list goes on. Overcrowding of IoT booths made it evident that this year IoT is finally reaching the end users. Notably, the cloud technology becomes the new IoT standard. Almost every IoT solution enables your device data to be sent straight to the cloud. Why? Because from that point you can do whatever you want with your solution: scale it, use big data, do machine learning, etc. The sky’s the limit.
On 27 February – 2 March, DataArt exhibited with Canonical at Mobile World Congress in Barcelona. The sheer scope of the world’s biggest mobile industry event was mind boggling – 100,000 attendees and 2200 exhibitors spanned nine halls and one dozen outdoor spaces at Fira Gran Via and Fira Montjuïc.
DataArt demoed enterprise predictive maintenance IoT solution, enabling preventative, condition-based monitoring of a piece of manufacturing equipment. We used accelerometer-based sensors and an IoT gateway running Snappy Ubuntu Core to capture the vibration profile of a fan and analyzed it in AWS, to determine whether it’s in range of a normally operating equipment, and if not – to trigger a maintenance alert.
About 100 developers from all over the world gathered in Berlin to participate in THack – one of the most prestigious hackathons organized in the travel technology space. The event, organized by Tnooz, took place at the betahaus co-working space over the weekend of 4-6 March and was supported by HomeAway, Skyscanner and Xapix.io.
Participants were asked to develop solutions to these four travel challenges: