2016/02/05 13:32:27

Specialist with Big Data (big data)

In the conditions of an unstable economic situation in Russia and the world to do positive forecasts for 2016 quite difficult. Nevertheless, against the background of the general decrease in growth rates of the majority of the industries of business the digital-industry, and with it and the Big Data area, continue to show growth and to strengthen the positions. In this ambiguous time owners of analytical thinking, patience and diligence quite will be able not only to hammer together the seed capital (the data-analyst with experience of 1 year receives not less than 110,000 rub now), but also to make the name.

BI and Big Data overview

The specialist in Big Data – that hero who on the basis of studying of data bulks in different spheres of life (it can be both business, and science), formulates trends selects trends and predicts what cannot be seen with the naked eye. In practice such researches lead to discoveries, increase in company performance, determination of new sources of income, improvement of customer service, etc., but it can unroll Big Data ball not to everyone.

Personal qualities of the specialist in Big Data: snob or perfectionist?

Big Data homeland with confidence it is possible to call America, and in English this profession is called "Data scientist" – an unambiguous hint on what should be present the data-specialist – a little bit the scientist. In love with the case, the snob (he not without the bases is sure that he is an excellent specialist) and moderately gikovaty is a little, ready to get to the bottom of the essence of the phenomena – here it there has to be the one who works with Big Data.

Classical expression "data bulks" as the translation into Russian of the term "Big Data" not absolutely truly transfers an essence of this concept. Big Data is more likely not information volume, and the hidden deep intersections and processes which cannot be revealed without additional analysis. Big Data - as that American gold mine: the gold prospector (analyst) should work well to find something standing. He should have both the correct spirit, and tool kit, and a large supply of determination to find out what is hidden from normal eyes.

Analytics and severe management: what skills perfect?

Future data-specialist should have a strong basic mathematical or technical education, he should understand technologies and lifecycle of data arrays well.

Skills of programming will surely be useful to it, in particular, capability to implement in a program code a full stroke of development (from collecting and data scrubbing to their analysis and visualization of result), to think out and solve algorithmic problems, to own special software.

In addition, the specialist in Big Data as the teamplayer, should learn to solve business challenges, offering an optimal set of technologies and algorithms as the solution.

Always tidily dressed and with an excellent hairstyle, he owns excellent presentation skills, accurately formulates the thoughts, and does in the spare time self-development and plays a bass guitar.

The areas of work with data: whom to be – here in what a question.

On survey results of employers, specialists in processing of Big Data work in 6% of the Russian companies. By tradition, the main demand for analysts of Big Data is created by players of IT sphere, the telecom company, banks and large retail networks. More and more the banking sector, public administration, agriculture resorts to the help of Data-specialists in the activity.

Because of low degree of development of the Russian Data market there is no uniform accepted terminology designating this or that amount of works with Big Data yet. The vacancies meaning the same specialization occasionally are called absolutely differently, for example: analyst of Big Data; mathematician / matematik-programmist; manager on the analysis of systems; architect of Big Data; business analyst; BI analyst; information analyst; specialist of Data mining; machine learning engineer.

In general those who work with Big Data are subdivided into 2 big groups: these are analysts on Big Data and Big Data engineers. The first are responsible for the analysis of Big Data, reveal interrelations and build models (at the moment in Russia this direction is less demanded, unlike specialization on analytics). The second more bear responsibility for storage, data translation and quick access to them:

Analyst of Big Data:

builds processes of data collection so that then it was possible to process information quickly;
analyzes and predicts consumer behavior, is engaged in segmentation of the customer base (it both a clustering, and classification, and modeling, and forecasting too);
personalizes product offers;
analyzes efficiency of internal processes and operating activities, develops solutions on their optimization;
carries out analytics of risks and suspicious transactions, elicits the fraud facts;
provides completeness and interrelation between data from different sources;

Specialists in Big Data are a new type of professionals, they help to consider what cannot be seen with the naked eye, with their help work with data reaches new qualitative level. Against the background of intensive development of the digital-sphere of a pit, connected with Big Data, looks very perspective.

- Material is prepared with the assistance of technology company Weborama (Veboram)

Specialist with Big Data (big data)

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