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Магистратура 2016/2017

Разработка и внедрение систем больших данных

Статус: Курс обязательный (Системы больших данных)
Направление: 38.04.05. Бизнес-информатика
Когда читается: 1-й курс, 2-4 модуль
Прогр. обучения: Системы больших данных
Язык: английский
Кредиты: 5

Программа дисциплины

Аннотация

Big data Systems address needs for structured and unstructured data across a wide spectrum of domains such as Web, social networks, enterprise, cloud, mobile, sensor networks, multimedia/streaming, and cyber physical and high performance systems. The course is focused on the relevant architecture of Big Data Systems, their building, implementation and management. The course emphasizes the skills and knowledge to identify and communicate business system needs, to develop right Big Data system architecture and software/hardware infrastructure and implement it into organizations to improve business performance and get profit from available data. The course contains an overview and case studies of contemporary Big Data systems and highlights the areas of greatest potential application of the technology.
Цель освоения дисциплины

Цель освоения дисциплины

  • To teach students to understand the connections between organization's business goals and data possessed by the organization.
  • To present the variety of modern corporate information systems' types and their properties regarding operations with data, data necessity and impact to reaching main business goal.
  • To provide students with the knowledge of Big Data paradigm and the present the concept of Big Data approach.
  • To introduce to the students the main principles for real-time data systems and Big Data platforms.
  • To help students develop skills of designing and managing Big Data systems.
Результаты освоения дисциплины

Результаты освоения дисциплины

  • Student should estimate and analyze different known scientific methods and approaches in terms of data collection, storage and processing.
Содержание учебной дисциплины

Содержание учебной дисциплины

  • Information Technology in organizations
  • The knowledge-based view of the corporate system
  • Types of information systems
  • Big Data Platforms
  • Typical Big Data system architecture and Big Data instruments
  • Storage techniques. Databases
  • Hadoop Distributed File System
  • Hadoop essentials
  • Hadoop ecosystem
  • Architecture principles for realtime Big Data systems
  • Big Data Systems implementation
  • Management of Big Data Systems
Элементы контроля

Элементы контроля

  • неблокирующий Created with Sketch. Score for the first home task
  • неблокирующий Created with Sketch. Score for essay (referat)
  • неблокирующий Created with Sketch. Score for the second home task
  • неблокирующий Created with Sketch. Oral exam
Промежуточная аттестация

Промежуточная аттестация

  • Промежуточная аттестация (4 модуль)
    0.4 * Oral exam + 0.2 * Score for essay (referat) + 0.2 * Score for the first home task + 0.2 * Score for the second home task
Список литературы

Список литературы

Рекомендуемая основная литература

  • Ali, A., Qadir, J., Rasool, R. ur, Sathiaseelan, A., & Zwitter, A. (2016). Big Data For Development: Applications and Techniques. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsarx&AN=edsarx.1602.07810

Рекомендуемая дополнительная литература

  • Adams, T. (2015). Development of a Big Data Framework for Connectomic Research. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsarx&AN=edsarx.1501.06102
  • Duque-Jaramillo, J. C., & Villa-Enciso, E. M. (2016). Big Data: development, advancement and implementation organizations in information age ; Big Data: desarrollo, avance y aplicación en las organizaciones de la era de la información. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.A8867B75