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.

Google Cloud
Kompetenzen, die Sie erwerben: Data Migration, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Import/Export, Data Processing, Data Store, Apache Airflow, Data Lakes, Data Infrastructure, Data Storage, Apache Spark, Data Warehousing, Cloud Storage, IT Automation, Data Transformation, Serverless Computing, Automation, Event-Driven Programming
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Google Cloud Platform, Model Deployment, Dataflow, Data Pipelines, Data Import/Export, Data Lakes, Feature Engineering, Data Governance, Real Time Data, Dashboard Creation, Cloud Engineering, Unstructured Data, Tensorflow, Apache Kafka, Data Warehousing, Apache Spark, Dashboard, Data Infrastructure, Big Data, Data Migration
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Correlation Analysis, Data Pipelines, Dashboard, Dashboard Creation, Analytics, SQL, Business Analytics, Data Infrastructure, Data-Driven Decision-Making, Warehousing, Analysis, Capacity Management, Data Warehousing, Performance Analysis, Performance Metric, Scalability, Performance Measurement, Return On Investment, Interactive Data Visualization, Descriptive Statistics
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Database Design, Performance Tuning, Data Warehousing, Apache Spark, Data Architecture, SQL, Query Languages, Data Transformation, Disaster Recovery, Database Management, PySpark, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Data Pipelines, Data Import/Export, Data Infrastructure, Data Processing, Data Capture, Big Data, Data Warehousing, Data Integration, Data Storage, SQL, IT Automation, Data Transformation, Data Management, Automation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Metadata Management, Extract, Transform, Load, Data Migration, Google Cloud Platform, Data Pipelines, Data Import/Export, Apache Airflow, Data Infrastructure, Data Sharing, Data Storage Technologies, Data Processing, Data Integration, IT Automation, Cloud Storage, Data Storage, Real Time Data, Data Transformation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Architecture, Real Time Data, Data Lakes, Capacity Management, Data Pipelines, PySpark, Transact-SQL, Apache Spark, Data Transformation, Data Security, Event Monitoring, Microsoft Copilot, Continuous Monitoring, Data Analysis, Workflow Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Warehouse Operations, Warehouse Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Validation, Data Quality, SQL, Data Integrity, Verification And Validation, Unit Testing
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Transformation, Azure Synapse Analytics, Database Design, Data Wrangling, Data Architecture, Database Theory, Apache Cassandra, Apache Hive, Amazon Redshift
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Validation, Data Integrity, Data Maintenance, Data Transformation, Data Quality, Data Warehousing, Extract, Transform, Load, Reconciliation, Code Reusability
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Tensorflow, Big Data, Extract, Transform, Load, Data Architecture, Data Warehousing, Apache Spark, Apache Hadoop, Real Time Data, Data Processing, Data Integration, Unstructured Data, Dashboard Creation, Data Security, Applied Machine Learning, Data Quality
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Validation, Data Quality, Data Integrity, Debugging, Data Pipelines, Test Automation, Root Cause Analysis, YAML, Generative AI, Test Tools, Anomaly Detection, AI Integrations, CI/CD, Python Programming, Reliability, Performance Tuning, Memory Management
Anfänger · Kurs · 1–3 Monate