Digitization of Processes

Data Mining & Reference Material

Comprehensive exploration of digital transformation methodologies, Big Data ecosystems, data representation and analysis techniques, and semantic web technologies for process optimization and intelligent automation.
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Course Materials

Foundation

Introduction to Big Data

Fundamental concepts of Big Data ecosystems, exploring the volume, velocity, and variety challenges. Covers distributed storage systems, processing frameworks, and the role of Big Data in digital transformation.

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Core Techniques

Data Representation, Manipulation & Analysis

Comprehensive study of data structures, transformation techniques, processing pipelines, and analytical methods for extracting actionable insights from digitized business processes.

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Semantic Web

Linked Open Data

Semantic web technologies for intelligent process automation. RDF data models, SPARQL queries, ontologies, and leveraging linked data for enhanced interoperability and knowledge integration.

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Practical Sessions

GitHub Repository

TDM - Practical Exercises

Hands-on projects in digital process transformation and data mining. Includes real-world case studies, Big Data implementations, semantic web applications, and automated workflow optimizations.

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