Data-Engineering-Kurse können Ihnen helfen zu lernen, wie Datenpipelines aufgebaut, Systeme integriert und Daten effizient verarbeitet werden. Sie können Fähigkeiten in ETL-Prozessen, Datenmodellierung, Orchestrierung und Umgang mit großen Datenmengen aufbauen. Viele Kurse stellen Tools und Plattformen für moderne Dateninfrastrukturen vor.

Kompetenzen, die Sie erwerben: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Scala Programming, Spring Boot, Java Programming, Development Environment, Apache, JSON, Data Processing, Information Architecture, Data Transformation, Solution Design, Content Management, Data Import/Export, Performance Tuning, Software Architecture, Data Validation, System Configuration
Anfänger · Spezialisierung · 1–3 Monate

Duke University
Kompetenzen, die Sie erwerben: Apache Airflow, Vector Databases, Performance Tuning, Scalability, Database Management Systems, Database Management, Data Pipelines, MySQL, Data Import/Export
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Data Architecture, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Model Training, Model Deployment, Distributed Computing, Data Transformation, SQL, Python Programming
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Continuous Integration, Continuous Deployment, Real Time Data, Data Integration, Data Pipelines, IT Automation, Development Environment, Data Management, Automation, Data Storage, Metadata Management, File Systems
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Dataflow, Data Transformation, Apache Hive, Data Strategy, Data-Driven Decision-Making, Big Data, Data Warehousing, Data Architecture, Apache Spark, Data Integration, Data Processing, Data Capture, Data Collection, Data Management, Data Analysis, Scalability
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Cloud Engineering, Cloud-Native Computing, Software Engineering, Cloud Development, Distributed Computing, Cloud Storage, Engineering Software, Extract, Transform, Load, Google Cloud Platform, Software Engineering Tools, Big Data, Software Development, Cloud Computing, Serverless Computing, Data Infrastructure, Cloud Technologies, Cloud Services, Cloud Solutions, Data Pipelines, Command-Line Interface
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cloud Engineering, Data Transformation
Mittel · Kurs · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Site Reliability Engineering, Docker (Software), Containerization, GitHub Copilot, Kubernetes, Virtualization, Cloud Deployment, Virtualization and Virtual Machines, Microservices, Development Environment, Application Deployment, Virtual Machines, Cloud Development, Database Management, Test Engineering, Cloud-Based Integration
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, AI literacy, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Data Analysis
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, NoSQL, Apache Spark, IBM DB2, Big Data, Dashboard Creation, Data Integration, Dashboard, Business Intelligence, Database Architecture and Administration, PySpark, Data Pipelines, Analytics, Databases, Relational Databases, SQL, Python Programming
Fortgeschritten · Kurs · 1–3 Monate

Duke University
Kompetenzen, die Sie erwerben: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Shell Script, Database Administration, Command-Line Interface, Operational Databases, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation, Python Programming, Data Processing, Linux
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Duke University
Kompetenzen, die Sie erwerben: Data Pipelines, Rust (Programming Language), Restful API, Cloud-Based Integration, Amazon Web Services, Data Structures, Secure Coding, Data Processing, Application Programming Interface (API), Data Manipulation, System Programming, Cryptography, Python Programming, Command-Line Interface, Software Testing
Mittel · Kurs · 1–4 Wochen