• IoT, Big Data, 5G and Virtual Reality – all a Reality at the Mobile World Congress 2016

    14 March 2016
    By Artyom Astafurov, Chief Innovation Officer at DataArt

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    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.

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  • Data Warehousing: Then & Now, and What to Do with It

    03 December 2015
    By Oleg Kapustin, Data Warehouse Architect

    Background

    Data warehousing is not a new thing today. The concept was first introduced in the 1970s and its key terms “dimension” and “fact” appeared even earlier – in the 1960s. Since then, many businesses have successfully implemented and adopted various data warehouse solutions. Though they were using a great variety of technologies, processes, and ways of thinking, their goals were alike – consolidating data from scattered operational systems, making data clean and trustworthy, extracting the information, and unlocking hidden knowledge. All this was necessary to improve business decisions, to make them knowledgeable, rather than based on blind-guesses.

    Many organizations from various industries – from finance to hospitality, from healthcare to gambling – leverage the benefits provided by this several decades old concept. But technologies evolve and brings new methods of data processing, new algorithms and implementations, new features and new possibilities. The amount of data available for analysis grows dramatically. The speed of communication increases. Thus businesses face new challenges – they need to cope with a highly competitive environment which is much faster than before, they need to evaluate the situation in a much more accurate manner, they cannot wait.

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  • Strata+Hadoop World NYC 2015 Reflections

    06 October 2015
    By Artyom Astafurov, Chief Innovation Officer at DataArt

    Machine learning, cloud, visualization, Hadoop, spark, data science, scalability, analytics, terabytes, petabytes, faster, bigger, more secure, simply better. The kind of a merry-go-round that keeps spinning in your head after you spend three days on the exhibit floor at Strata+Hadoop conference. And lots of elephants, of course.

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  • DeviceHive Releases Version 2.0

    23 June 2015
    By Artyom Astafurov, Chief Innovation Officer at DataArt

    We are proud to announce DeviceHive 2.0: faster, friendlier, more functional IoT Data Platform with a rich IoT Gateway framework. Get in touch with us if you want to learn more. Here are some of the key features included in this release.

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  • These days I work together with many top-notch developers, dealing with very different projects, solutions and applications (not only with SCOM management packs :)). And what I like most of all about being in this very diverse community is the variety of questions whose folks bring onto the table. Here is the most recent one:

    Can we store configuration information for our application in AD? If yes, then how?

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  • Smart watch will win the market, and here’s why

    15 May 2015
    By Igor Kozhurenko, Vice President, R&D,

    The launch of Apple Watch has meant that wearable technologies – and smart watches in particular – are getting a lot of attention. Just think about this; according to Juniper research, over 70M fitness wearable devices are expected to be in use worldwide by 2018, up from 19M in 2014. On top of that, Business Insider estimates that the smart watch will be the leading product category on the wearable market and will account for 59% of total wearable device shipments this year, expanding to just over 70% of shipments by 2019.

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  • At the Recent Bankathon, Both Charities and DataArt were Winners

    01 May 2015
    By Steve Pscheid, Vice President Germany,

    Michael Koch, Deutsche Bank (on the left) awarding DataArt team: Steve Pscheid (in the middle) and Ilya Aristov (on the right)

    Last week, in Frankfurt, a team of DataArt developers attended the Bankathon hack-a-thon event, organized by GINIand FIGO, a pair of new powerful API’s for the financial industry.

    Our team emerged from the event with a killer app and a special award from Deutsche Bank.

    The team spent 2 days developing Doo’Nation, an app that allows consumers to follow the money trail for any charitable donation they wish to make. The goal was to create an app that removes some of the “sketchy” from typical donations one might make on the street and digitize these transactions. Watch our app presentation on YouTube.

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  • DataArt to Present a Charity App at the Upcoming Hackathon

    23 April 2015
    By Steve Pscheid, Vice President Germany,

    In Frankfurt, April 26-28, as part of a hackathon, DataArt will roll out a new mobile app that allows consumers to make donations to their favorite charities and organizations within 3 taps on their smartphone. Using the API’s from Gini and figo, DataArt will showcase an app that eliminates concerns around donating; digital records will show a consumer that their money has made it into the proper hands. In addition, customers will receive a digital receipt for their donation in near real-time.

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  • Apple Watch – Not Quite There Yet

    11 March 2015
    By admin,

    Apple Watch

    New Apple Watch, while highly anticipated, remains predominantly a niche product despite high hopes in the industry. It’s not that the idea is wrong – no one disputes that wearables can improve our lives in many ways. However, to date implementation of the idea has been sloppy, and has failed to deliver on the promise of a brighter future. Now all hopes are pinned on Apple, a company known for its ability to enter a challenging market and change the environment with one impeccable product.

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  • Using JMeter for Distributed Load

    20 February 2015
    By Roman Denisenko, Senior QA

    Introduction

    Sometimes during performance testing we have to deal with high-powered systems. Such systems can painlessly handle massive amounts of requests creating an extra headache: how can you emulate such a huge load yourself, without access to the full production side hardware capabilities? Another situation occurs when the system to be tested has multiple servers where the behavior is controlled by forces on the client’s side, and therefore we have to handle a geo-distributed load.

    I think every performance engineer has faced the aforementioned issues at least once in his experience. The solution is to use distributed agents to emulate the load. Almost all commercial and free software provide abilities for the utilization of external agents which work simultaneously, increasing the amount of the overall load. In this article, I would like to talk about the ways to make the most popular free performance tool emulate the load from different agents. More specifically, I will talk about JMeter and its performance load agents.

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