• Today IoT is expanding it’s borders and creeping into our daily lives. Devices are placed everywhere, various size from tiny things to monstrous automatic machinery. The internal device architecture and design form the constraints on the device behavior. Device protocol, operational cycle, and time are often limited by batteries, the underlying hardware, and existing libraries. The variety of protocols and message types means a typical solution to unite them involves implementing bridge-adapters that are capable of transforming data into a common format.

    Bridges are often seen as a pipe accepting messages and passing them to the next collector or adapter-bridge. The central business logic resides in the middle. Central logic responsible for accepting and handling all the messages. The replies are sent back, routed through the channels back to the device and client. A typical solution will require several type of adapters to be deployed. With an increasing number of bridges, fault tolerance requirements should be kept. At this point, cluster maintenance and monitoring becomes important task.

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    Modern internet technologies are constantly changing the way people communicate with each other. Various platforms and resources successfully connect producers and consumers, employers and job applicants, buyers and sellers. Social networks create communities and unite people who share common interests, from hobbies to business. The trading community is no exception.

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  • mobile_pos_devices (1)

    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.

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  • On-demand Interactive Data Science with DC/OS

    19 April 2016
    By Yuri Gubin, Software Architect, DataArt

    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.

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  • Getting started with packages in DC/OS

    19 April 2016
    By Yuri Gubin, Software Architect, DataArt

    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.

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  • Currency Conversion

    18 April 2016
    By Vasily Bernstein, Payments Systems Expert

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    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?

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  • The Next Big Things at the Wearable Technology Show

    31 March 2016
    By Roman Chernyshev, Senior VP, Healthcare and Life Sciences Practice, DataArt and Janie Fox, Account Director, Travel and Hospitality Practice, DataArt

    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.

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  • Hasn’t Big Data killed Data Warehousing Already?

    17 March 2016
    By Oleg Kapustin, Data Warehouse Architect

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    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?”

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  • 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.

    A hype cycle for clinical research operations.jpg

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  • Connecting to the Future at the Mobile World Congress 2016

    14 March 2016
    By Maxim Ivannikov, Solutions Consultant, DataArt

    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.

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