To cope with the increasing flood of information, many technologies have been brought onto the market in recent years under the buzzword "big data" in order to develop efficient, scalable applications that can process large volumes of data. However, the range of commercial and free open source software is so large that even experts find it difficult to select suitable technologies for a particular application.

In this certificate course, you will gain an overview of various big data systems (e.g. Hadoop, Spark) and learn which use cases they are suitable for through practical case studies. In addition, you will learn the basic principles of distributed, scalable big data architectures in order to be able to classify and evaluate systems accordingly. Through practical exercises with current big data systems and the discussion of individual questions, you will be able to transfer the content of the course to your everyday work.

Upon successful completion of the course, you will be able to

• Explain and compare different architectures of Big Data systems.
• Evaluate the advantages and disadvantages of distributed Big Data systems and justify their use.
• Implement data transformations and data queries in Big Data systems.
• Design and develop simple Big Data systems for specific requirements.
• Evaluate own or existing Big Data systems.

• Increased knowledge and competence through the communication of contemporary big data architectures
  and systems from research and practical application.
• Independent and critical discussion and evaluation of current big data technologies.
• Professional applicability of the content taught through practical exercises and project assignments.

The certificate course is aimed at specialists and managers from all sectors in the fields of information management, organization and process management,...

• who are responsible for the strategic planning of information architectures in a company.
• who define information systems and processes in companies and coordinate their use.

The interactive seminar-style course offers the opportunity to address individual questions and problems posed by participants. Practical implementation tasks for big data systems with various case studies and data sets as well as support through an online learning platform support the learning success. The content learned is applied and advanced in practice as part of a project assignment.

• Two online attendance dates:
  Please ask for new dates weiterbildung(at)hsrn.de
• Registration deadline: --
• Max. Number of participants: 12 persons
• Location: Online format (Zoom meeting)
• Course language: The certificate course is held in German.

• Participation fee: 595 € | alumni (5% discount) 565 €
• Participation requirements: University degree with one year of professional experience or vocational training and at least three years of professional experience. You should have basic knowledge of data architectures. You will need an internet-enabled PC or an internet-enabled notebook for Zoom as a video conferencing service and a headset if necessary.
• Scope (workload): 50 h, of which attendance 16 h, 2 ECTS
• Degree: University certificate / certificate of attendance
  Participants receive a certificate of attendance if at least 75% of the course is attended. A certificate from The Hochschule Niederrhein is awarded upon passing the examination.