Business and Big Data: FABERNOVEL Lab

    Big Data - a term that has already become a real “baseword”, this topic is so popular. More and more people and companies from all over the world and industries are beginning to understand the importance of data analysis. But it’s not enough just to want to use the data, you also need to understand what and how to collect and study. Today we will consider this particular problem.


    First of all, let's talk about how exactly the technologies developed, which led to the emergence of the very possibility of the concept of Bid Data. The development of this technology cannot be considered in isolation from the cost of storing information. For example, in the 80s it was already possible to collect large amounts of data, but their storage was very expensive. So, storing 1 GB of data in 1980 cost $ 300,000.

    For the first time, the practical use of big data in a computer system was realized in 1997 by the creators of the Deep Blue chess computer, which defeated world champion Garry Kasparov in chess.

    By the year 2000, the cost of storing 1 gigabyte of data had already dropped to just $ 100.

    The next highlight in the evolution of Big Data was the creation of a distributed computing platform.Hadoop in 2005.

    Awareness of the importance of working with data continued to come to the owners of an increasing number of businesses, mainly IT companies. In 2006, Netflix launched a contest during which developers gained access to a dataset and had to improve the algorithm of service recommendations (the results should have been improved by 10%). The prize was $ 1 million for the winner.

    By the beginning of the first decade of the 21st century, even representatives of government agencies were convinced of the prospects of Big Data. In 2011, the Los Angeles Police launched a project to analyze crime data for 80 years to improve the quality of prediction of future crime scenes.

    In 2013, the cost of storing 1 GB of data is reduced to $ 0.1.

    By 2017, McKinsey predicts the growth of the global Big Data market to $ 50 billion.

    “Knowledge of Big Data” as a line in a resume

    Businesses have long realized that the ability to work with data is a competitive advantage, and specialists with similar skills will be worth its weight in gold.

    According to the same McKinsey company, by 2018 in the U.S. alone, the shortage of specialists with deep analytical skills will amount to 190 thousand people. By 2018, the shortage in the market of managers who can analyze large volumes of data to make effective decisions will amount to 1.5 million.

    DataLab by FABERNOVEL

    As usual, in Runet the development of Big Data lags behind the United States, but in our country there are a considerable number of companies that, if desired, can collect huge amounts of data about current and potential customers. Next, the question arises about the ability to effectively analyze and monetize this information.

    Big Data specialists are not enough in America, but in Russia they cannot be found in the afternoon with fire. However, they are still there and are ready to share their knowledge.

    FABERNOVEL has developed a special “Laboratory” - a one-day Big Data course, students who will be able to understand the main scenarios of Big Data application, get acquainted with the basic technologies in this area and create an experimental Big Data project with the help of industry mentors. Briefly, the program can be divided into three sections:
    • Business aspects: the history of Big Data and the evolution of the market, the most vulnerable segments and industries, the main challenges and successful scenarios of technology application.
    • Technological aspects: the Hadoop revolution and its principles, promising technologies (Storm et Spark), No-SQl and its new features, technology application scenarios.
    • Simulation of your own Big Data project: the goal of the exercise is to get the first insights, visualize the results and understand the principles of obtaining ROI (return on investment)

    In the classroom, participants together with mentors will consider various theoretical and practical topics from the field of Big Data. For example, one of the tasks will be devoted to defining scenarios for using data to achieve business goals, and during another lesson, the task will be to analyze an anonymous data set and extract useful insights from it.

    Such educational initiatives are currently not very common in our country, so we invite both company representatives and individual specialists to participate in the FABERNOVEL Data Lab.

    Business needs fuel, and now fuel is data. You just need to learn how to use them correctly.

    Thanks for attention!

    The laboratory will be held in Digital October, for all questions of participation, you can contactLeo Samsonov .

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