online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Data Analysis - Big Data Management
This four-part seminar examines the technologies, architectures, and practical use of Big Data platforms.
We begin with the essentials — cluster computing, scalable and highly available storage, and the main consistency models.
Later sessions dive into data-lake architecture and application design patterns.
Essential concepts and features are explained, with presentations supported by illustrative examples.
Participants will be able to assess the concepts and technologies in their own environments.
Topics covered:
• Introduction to Big Data: Scalable, highly available storage
• Architectural patterns for data platforms and applications
• High-speed, parallel processing with Apache Spark
• Key-value and wide-column stores for low-latency access
About the trainer: Karl-Heinz Sylla works as a Senior Scientist at Fraunhofer IAIS. He is a system architect and serves as project lead for both industrial and research projects, as well as a seminar instructor and speaker on topics related to software engineering.
His current work focuses on the architecture and design of big data systems and their application-specific implementations.
MZE (Building 30.48), ground floor R017
Dr. Jernej Zupanc, Seyens Ltd.
You will learn the Seyens Method™—a comprehensive design philosophy, process, and set of strategies tailored specifically for scientists to visually communicate your own complex ideas so your messages are effortlessly understood by scientists or non-scientists.
It is a structured, no fluff, memorable, easy to follow, useful and fun training that will empower and enable you to create effective images, slides, posters, and grants. You will imediatelly apply the new skills to communicate your own science, draw a graphical abstract and discuss it with your peers and receive actionable feedback on your images and slides.
Aim:
You will learn the Seyens Method™—a comprehensive design philosophy, process, and set of strategies tailored specifically for scientists to visually communicate your own complex ideas so your messages are effortlessly understood by scientists or non-scientists.
It is a structured, no fluff, memorable, easy to follow, useful and fun training that will empower and enable you to create effective images, slides, posters, and grants. You will imediatelly apply the new skills to communicate your own science, draw a graphical abstract and discuss it with your peers and receive actionable feedback on your images and slides.
Content:
Self-study module—Mandatory Fundamentals, Slides, and Homework (5 h)
Fundamental Visual Communication: understand how human visual perception and psychology shape our interpretation of visual information. Discover a science-based design method to visualize your research, making it easily comprehensible. We will cover strategic use of layout, eye-flow, colors, and typography applied to all types of scientific images.
Slides, Posters, Grants: you will learn how to apply the Seyens Method™ design philosophy and strategies introduced in the Fundamentals to slides, posters, and grants. This will give you a holistic approach that builds from the first principles, makes sense and is easy to remember and apply.
Homework: submit your images and slides to receive personalized feedback.
Live Workshop—In person (7–8 h)
Recap and Q&A: an effective review of self-study topics and optional
1-on-1 consulting with facilitator to address your individual challenges.
Feedback on your submitted materials: you will get actionable suggestions
on how to improve your own scientific images and slides. Discussions on your own posters, grants, and other means of visual science communication encouraged.
Graphical abstract drawing exercise: you will draw a sketch of your research
Peer-instruction group discussion: you will give and receive informed and structured feedback to improve yours’ and other participants’ images.
Trainer: Dr. Jernej Zupanc, Founder of Seyens Ltd.
"My mission is to empower scientists to effectively communicate their ideas and findings, maximizing the impact of their research. I am passionate about teaching and communication, continually seeking innovative approaches from various fields that can be quickly and easily applied by scientists. I simplify these principles into engaging learning experiences where participants imediatelly get results."
