"With Big Data, we can gain new insights from our data. To be able to process data efficiently with the desired quality, scalable data architectures are required."

Upon successful completion of the certificate program, you will be able to:

• understand the tasks of data governance and assess various possible solutions.
• analyze business processes to derive requirements for data management.
• understand the legal challenges of data protection and data security.
• explain and compare different data management architectures (e.g. NoSQL vs. Relational, Data Warehouse vs. Data Lake).
• Understand the challenges associated with managing large heterogeneous data sets.
• Apply methods and tools for data preparation, data integration, and data quality management.
• evaluate different Big Data technologies such as distributed data processing systems (e.g., Hadoop, Spark) or in-memory databases and select them for specific deployment scenarios.

The certificate program is aimed at specialists and managers from all industries 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 data governance policies and implement them in companies.
• define information systems and processes in companies and coordinate their use.
• plan and design architectures and systems for Big Data and Data Science applications.

• The didactic concept of the continuing education is specially tailored to working professionals.
• We offer you a high degree of temporal flexibility through the combination of classroom and online-supported self-learning phases.
• You will link your practical professional experience with scientific theories and methods and thus expand your competencies.
• The high practical relevance of the continuing education is guaranteed by the many years of professional experience of our lecturers in companies and institutions.
• With us you learn in small groups, so we guarantee you optimal support and enough space for your individual questions.
• You will benefit from the exchange with colleagues and expand your professional network.

The certificate program takes place in a combination of ONLINE presence and self-study units (blended learning). The self-study is accompanied by the online learning platform Moodle. The presence phases are held in an interactive seminar character, with impulse lectures and exercise elements alternating. The knowledge imparted is tested "hands-on" and there is the opportunity to work on individual questions and problems of the participants.

DATA GOVERNANCE
Data quality and data compliance.

"Data is like waste. You should know what you want to do with it before you collect it."
Mark Twain

There are opportunities and risks in equal measure for companies arising from the large volumes of "Big Data": How can big data be used to achieve business goals without creating security risks and compromising data quality? What legal requirements must be observed and how are the rights of data suppliers complied with? Which processes and roles need to be designed?

Data governance provides solutions to these challenges. It ensures a functioning framework and compliance with standards.

In this certificate course, you will learn which processes, methods and tools are available to make data in a company easily accessible and, at the same time, to store it correctly, secure it and file it in a uniform manner. You will be able to determine who is responsible for the stored information and how the data should be handled. Only a company-wide and systematic approach to data governance can ensure a high level of data quality and usability in the long term.

DATA ENGINEERING
Designing Data Architectures

"Data science is about asking interesting questions based on the data you have - or often the data you don't have."
Sarah Jarvis

Digitization is creating an ever-increasing flood of data of various kinds in companies, which is needed at various points in business or production processes. The availability and usability of data is thus necessary for efficient business management. However, the diverse data management solutions that have emerged in recent years under the buzzword "Big Data" present companies with the challenge of choosing suitable technologies.

In this certificate course, you will learn about various aspects that are necessary for efficient and effective data management. In addition to the topics of data modeling (relational and NoSQL), data cleaning and data integration, the course also presents more comprehensive concepts for data architectures such as data warehouse, data lake or lambda architecture. Practical exercises with current data management systems and discussion of individual issues with the lecturer will enable you to transfer the contents of the course to your everyday work.

BIG DATA TECHNOLOGIES
Develop scalable, distributed Big Data systems.

"Data is the new science. Big Data holds the answers."
Pat Gelsinger

To cope with the rising tide of information, many technologies have been launched in recent years under the buzzword "Big Data" to develop efficient, scalable applications that can process large amounts of data. However, the range of commercial or also free open source software is so large that even experts find it difficult to select suitable technologies for a use case.

In this certificate course, you will get an overview of different Big Data systems (e.g. Hadoop, Spark) and can learn with practical case studies for which use cases they are suitable. In addition, you will learn the fundamental 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 can transfer the contents of the course to your everyday work.

IN-MEMORY DATABASES
Implementing Big Data applications efficiently

"You can only grow if you are massively innovative."
Hasso Plattner

Many companies are currently facing the challenge of having to process a constantly increasing volume of data. The right information should be available at the right time in adequate form, quantity and quality for the respective users in the company - and in just a few seconds. Traditional relational database systems often reach their limits when it comes to meeting these requirements. Modern database models do not store their data on conventional hard disk storage, but use the main memory directly for this purpose. This allows significantly higher access speeds and, as a consequence, shortens and efficiently supports operational decision-making processes.

This certificate course shows the potential of Big Data applications based on in-memory technologies for a company and what open questions and hurdles exist. You will work on case studies with the in-memory database SAP HANA and can discuss individual questions from your own company with the lecturer and professionally experienced peers.

11 ONLINE dates of the courses - on request at weiterbildung(at)hsnr.de

• Data Governance - Data Quality and Data Compliance
• Data Engineering - Designing Data Architectures
• Big Data Technologies - Developing scalable, distributed Big Data systems
• In-Memory Databases - Implementing Big Data Applications Efficiently

Between the attendance days there are online-supported self-study phases.

• Total workload: 275 h, of which 88 h attendance, 11 ECTS
• Registration deadline: --
• Number of participants: approx. 12 persons
• ONLINE-meetings: The meetings take place in ONLINE-format (Zoom-Meeting). You need a PC with internet access and a headset if necessary.

• Participation fee: 3.950 € | Payment in three installments is possible (the first installment 1.300 Euro, the two others à 1.325 Euro) | Alumni (5% discount) 3.752 €
• Participation requirements: University degree with at least one year of professional experience or other professional degree with at least three years of professional experience. Basic knowledge of data architectures and data management should be present.
• Degree: Each individual certificate course can be completed with an examination in the form of a project assignment or with a certificate of attendance (with 75% attendance). If the examination results of all four certificate courses are passed, the Certificate of Advanced Studies Hochschule Niederrhein "Data Architect" is awarded.