The constant acceleration of the data growth is an integral element of modern realities. Social networks, mobile devices, data from measuring devices, business information - these are just a few types of sources that can generate huge amounts of data. Currently, the term Big Data has become quite common. Not everyone is still aware of how quickly and deeply the technology of processing large amounts of data is changing the most diverse aspects of society. Changes are taking place in various fields, creating new problems and challenges, including the field of information security, where such important aspects as confidentiality, integrity, accessibility, etc. should be in the foreground.
On the labor market, the specialists who are able to work in the field of analysis of multidimensional data of complex structure are in demand. Organizations have accumulated huge amounts of data, many of which are poorly structured. Their processing and analysis become more and more actual as business processes accelerate, competition intensifies and the price of a timely and correct decision increases. In recent years, private and personal data posted on the Internet have also become more accessible for analysis, especially in the form of “social networks”.
The classical way of training analysts does not meet these challenges, since it does not systematically cover the additional tasks of processing and analyzing data, including unstructured data of large volumes. In addition to this, there is an obvious shortage of specialists who are ready to systematically approach the solution of tasks related precisely to the methodology for processing data of various types, streamlining access to data warehouses, restructuring the warehouses, the efficiency of a data processing, and analyzing big data (requiring a reduction in dimensionality, special circuits statistical experiments, approximate methods, efficient algorithms), etc. The deficit is exacerbated by the development of related technologies: 3D printing, augmented reality, cloud computing, smart environments, etc.
As examples, one can cite the competencies indicated in vacancies at leading online platforms: working with large volumes of data, data analysis, BI, Big Data, Distributed Cache, Data-Warehouse, ETL, Business Intelligence, Hadoop, MapReduce, practice of social networks analysis, experience with Big Data, etc.
The educational program “Big Data Analytics” includes working with data in a structured and unstructured form from information systems, processing big data, Big Data technologies, working with Excel, SQL and internal analytics systems. Designing internal data warehouses, with data binding from various systems, as well as the creation of dashboards and analytical reports. Using BI-systems (Oracle, IBM, SAS and others), SQL, ETL tools and programming languages. Intelligent analysis of structured and unstructured data. Using statistics, machine learning, and advanced predictive analytics to solve key business problems.
The educational program provides training in the field of modern methods of extracting knowledge from data, mathematical methods of modeling and forecasting, modern software systems and programming methods for data analysis.
