Big Data Masterclass

Die ganze Welt der Datenanalyse - mit Data Engineering und Big Data Technologien zur Verarbeitung großer Datenmengen.
Kenntnisse über NoSQL-Datenbanken und andere Big Data-Frameworks sind ebenfalls mit dabei. Plus Cloud Computing und Machine Learning

Die Weiterbildungsinhalte sind auf Englisch.
Introduction to Data Science

• Introduction to Data Science
• Data
• Data Science in Business
• Statistics
• Machine Learning

Data Quality and Data Wrangling

• Data quality and associated management techniques
• Data acquisition from public sources
• Working with relevant data formats
• Techniques for shaping and tidying data for analysis

Data Science Software Engineering

• Traditional project management
• Agile project management
• Testing
• Software development paradigms
• From model to production

Project: From Model to Production Environment

• This course focuses on creating a setup which allows the integration of a predictive model into an enterprise-grade application or service.

Big Data Technologies

• Data types and data sources
• Text-based and binary data formats
• Distributed systems
• Streaming frameworks
• NoSQL approach to data storage

Cloud Computing

• Cloud computing fundamentals
• Relevant enabling technologies for cloud computing
• Introduction to serverless computing
• Established cloud platforms
• Cloud offerings for data science and analytics

Data Engineering

• Core concepts of data engineering and data-intensive applications
• Current storage technology and architectural patterns for data at scale
• Container technology
• Operational aspects of data pipelines
• Data security and protection

Projekt: Data Engineering

• Transfer of methodological knowledge to the implementation of real-world data engineering use cases from the above-mentioned problem domains.