Big Data Management

Certificate Course - Information Systems Engineering - ISE.3.4.I26

Date Jun 10 - 11, 2027
Duration 2 days
Location On campus - Karlsruhe
Language English
ECTS upon request
Cost 1,550€
Book the course 

Course Prerequisites - No prerequisites required.

Discover what this course is all about 

Fundamentals 

The course teaches fundamentals of Big Data, including real-world cases, challenges and opportunities of Big Data.

Technology 

It covers distributed system algorithms and technologies for managing Big Data on cloud infrastructures and analytics tasks.

Applications 

Hands-on sessions include setting up cloud environments and querying and visualizing large datasets.

What you'll explore 

The course presents an overview of methods and technologies related to Big Data including:

  • Distributed Systems and Cloud Computing.
  • Foundational Big Data Technologies.
  • Theory and Practice of NoSQL Systems.
  • Big Linked Data.
  • Exploiting Similarity Measures for Data Integration.
  • The course concludes with an outlook on further topics, including data mining and machine learning. 

 

Your key takeaways

After completing the course, participants are able to:

  • explain the Vs of Big Data.
  • outline the distributed architectures and core components used in Big Data systems.
  • explain Brewer’s CAP theorem.
  • select NoSQL systems appropriate for given requirements.
  • outline the use of similarity metrics for data mapping.
  • explain steps involved in large scale data integration and data analytics 

 

Taught by recognized experts in Big Data Management 

Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.

Prof. Dr. York Sure-Vetter

Prof. Dr. York Sure-Vetter is Director of Information Process Engineering at Karlsruhe Institute of Technology (KIT) and a leading expert in Web Science, Semantic Web, Linked Data, and data-driven innovation. His research focuses on transforming data into actionable knowledge through text mining, service science, and intelligent information systems. After earning his degree in Industrial Engineering and a PhD in knowledge management at KIT, he held senior research and leadership roles at SAP and GESIS. He has also served as visiting professor at Stanford University and the University of Mannheim. Today, he combines academic excellence with leadership in national and international data infrastructure initiatives, advancing the future of data-driven research and digital knowledge systems.

Prof. Dr. Maribel Acosta 

Prof. Dr. Maribel Acosta is a Junior Professor for Databases and Information Systems at Ruhr University Bochum (RUB) and a leading researcher in the fields of databases, Semantic Web, and artificial intelligence. Her work focuses on the efficient querying and management of knowledge graphs, combining advanced data engineering techniques with machine learning approaches. With a strong academic background and experience at leading institutions such as KIT and Heidelberg University, she contributes to the development of intelligent information systems and innovative data-driven technologies through research and teaching.

Dr. Lars Heling

Dr. Lars Heling is Senior Knowledge Engineer in SAP’s Business AI Unit, where he works on intelligent data and knowledge driven systems for enterprise applications. He focuses on knowledge graphs, semantic technologies, and AI powered query processing to enable scalable and trustworthy data integration. With a strong background in research and industry, including Bosch, Stardog, and KIT, he bridges academic innovation with real world AI solutions and contributes to the development of future data driven expertise in industrial AI and semantic systems.

Who should attend 

This course is particularly beneficial for professionals in the following fields:

  • Data engineers and architects
    Professionals responsible for designing, implementing, and managing big data infrastructures, cloud-based data solutions, or large-scale analytics platforms.

  • Data scientists and AI specialists
    Data scientists, machine learning engineers, and AI professionals working with large datasets who want to optimize data processing, storage, and analysis.

  • IT consultants and analysts
    Consultants and analysts supporting organizations in adopting big data technologies, selecting appropriate tools, or developing data-driven strategies.

  • Software developers and engineers
    Developers working on scalable data applications, cloud services, or distributed systems who need to integrate big data technologies into their workflows.

  • Business intelligence and analytics professionals
    Specialists focused on extracting insights from large datasets, visualizing data trends, or enabling data-driven decision-making.

  • Researchers and academics
    Researchers, PhD candidates, and students in computer science, data science, or related fields focusing on big data, distributed systems, or advanced analytics.

  • Project managers and team leads
    Managers overseeing data projects, digital transformation initiatives, or big data implementation efforts within organizations.

Advance your career with KIT-level expertise 

Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth.

Flexibility 

Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.

Relevance

Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.

Advancement

Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.

 

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About HECTOR School 

HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.

For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.