online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Fundamentals of Big Data – Importance, challenges, and application areas of large datasets.
Data Management Framework – Strategies for storage, management, and fast analysis of large datasets.
Data Parallelization & Scalability – Distributed processing, parallelization techniques.
Data Preparation & Analysis – Methods for data cleaning, evaluation, and visualization.
Application Examples
Practical Part:
Introduction to Spark
Hands-on practice with PySpark – Demonstrations and exercises.
online
Karl-Heinz Sylla, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Fundamentals of Big Data – Importance, challenges, and application areas of large datasets.
Data Management Framework – Strategies for storage, management, and fast analysis of large datasets.
Data Parallelization & Scalability – Distributed processing, parallelization techniques.
Data Preparation & Analysis – Methods for data cleaning, evaluation, and visualization.
Application Examples
Practical Part:
Introduction to Spark
Hands-on practice with PySpark – Demonstrations and exercises.
