The Job of Big Data Consultant – The concept of Big Data appeared around 2008 when it became clear that the amounts of data arrays arising from various roots of measurements are so large that it has become either difficult or impossible to process those using standard means of mathematical statistics. To solve this problem, a profession has arisen – Big Data Specialist.

Big data today is generated in many industries from many sources of information. Mx volumes reach tens of terabytes. For example, every day thousands of petabytes (1015 bytes = 1024 terabytes) of knowledge pass through the servers of companies around the world. Timely processing of incoming it become difficult. In addition to huge quantities of info, the difficulty is complicated by their heterogeneity and high update rate, since it changes quickly and appears in various forms.

Most Big Data is unregulated, that greatly complicates its area and processing.  First, the existing bases are not suitable for this. Secondly, they are very difficult to treat and manage with traditional techniques such as DBMS. However, it stores a huge amount of learning, which may be extracted to solve many unresolved problems associated with processing and control.

What does a Data consultant do?

To determine the basic demands for the level of preparation of a big data scientist, you need to begin with the demands of the acknowledged standard.

The main goal of the type of known activity of a specialist according to the standard is “Creation of information technologies of a new generation that provide cost-effective extraction of useful information from large volumes of various data by the high speed of their acquisition, and the use of these technologies in learning and analytical activities, in control programs and decision-making, as well as for the growth of new products and services based on them”.

The main generalized labor function of a specialist in the analysis using the existing methodological and technological base in the big data consulting services by Data Science UA.

As an element of the specified activity, a specialist:

  • analyzes of the necessary criterion and finds hidden patterns and connections during the study;
  • analyzes internal means and also, possible risks;
  • is engaged in the implementation of models into existing industry infrastructures or business processes;
  • is engaged in the improvement of reports and forecasting;
  • advises executives and product managers based on the findings.

The need for scientists is growing every year.

What a big data scientist should know and be able to make

Principal, the specialist requires being able to program, because operating with huge volumes of data manually is impossible. Second, creating a model for assessing hypotheses, analytics, or estimating data. This cannot be done without the experience of the main programming languages:

  • Java, Hive for running with Hadoop;
  • Python – its basics and understanding of how to work with it in data analysis tools.
  • SQL;
  • The R language, which is useful for calculating statistics.

The next area is math. He must know and possess the methods of mathematical analysis, prospect system, and mathematical statistics, algebra. This experience will be useful to make forecasts, work on finding guides, including developing mathematical types.

The third area of ​​expertise is machine learning.  It is needed to create new patterns and retrain existing ones. It is also associated not only with artificial intelligence, but additionally with genetic, evolutionary algorithms, group tasks, and so on.