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Erkunden Sie den Datenengineering-Kurskatalog
- Status: Kostenloser Testzeitraum
Duke University
Kompetenzen, die Sie erwerben: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Devops Tools, Microservices, Development Environment, Software Development Tools, Application Deployment, Virtual Machines, Software Development, Cloud Development, Database Management, GitHub, Cloud-Based Integration, Scalability
- Status: Kostenloser Testzeitraum
Kompetenzen, die Sie erwerben: Maschinelles Lernen, Daten-Pipelines, Skalierbarkeit, Docker (Software), Apache Hadoop, Datenbank Management, Kubernetes, Datenbanken, MongoDB, NoSQL, Big Data, Apache Cassandra, Apache Spark, PySpark, Angewandtes maschinelles Lernen, Generative KI, Verteiltes Rechnen, Überwachtes Lernen, IBM Cloud, Apache Hive
Kompetenzen, die Sie erwerben: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL
Kompetenzen, die Sie erwerben: Data Sharing, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Pipelines, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation
- Status: NeuStatus: Kostenloser Testzeitraum
Dartmouth College
Kompetenzen, die Sie erwerben: Digital Transformation, Business Ethics, Predictive Modeling, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Advanced Analytics, Customer experience strategy (CX), Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning
- Status: Kostenloser Testzeitraum
Kompetenzen, die Sie erwerben: Dataflow, Google Cloud Platform, Data Pipelines, Looker (Software), Data Lakes, Data Warehousing, Real Time Data, Data Processing, Big Data, Cloud Infrastructure, Data Infrastructure, Unstructured Data, Tensorflow, Dashboard, Data Architecture, Apache Airflow, Extract, Transform, Load, Cloud Storage, MLOps (Machine Learning Operations), Serverless Computing
- Status: Kostenloser Testzeitraum
Duke University
Kompetenzen, die Sie erwerben: Daten-Pipelines, Bereitstellung von Anwendungen, Paket- und Software-Management, Testautomatisierung, Containerisierung, Cloud-Technik, Befehlszeilen-Schnittstelle, Virtuelle Umgebung, Algorithmen, Angewandtes maschinelles Lernen, Microservices, Jupyter, Entwicklungsumgebung, Python-Programmierung, AWS SageMaker
Kompetenzen, die Sie erwerben: Data Processing, Metadata Management, Cloud Storage, Google Cloud Platform, Data Pipelines, Data Migration, Big Data, Data Storage, Extract, Transform, Load, Data Infrastructure, Cloud Services, Data Management, Automation, Data Transformation, Real Time Data, Serverless Computing
- Status: NeuStatus: Kostenloser Testzeitraum
Fractal Analytics
Kompetenzen, die Sie erwerben: Data Governance, Metadata Management, Data Ethics, Data Management, Data Architecture, Interoperability, Data Strategy, Data Store, Responsible AI, Generative AI Agents, Threat Modeling, Data Storage, Data Pipelines, Data Processing, Data Security, Zero Trust Network Access, Large Language Modeling, Agentic systems, Machine Learning
- Status: Vorschau
Kompetenzen, die Sie erwerben: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Data Pipelines, Data Processing, Big Data, Data Warehousing, Data Integration, Data Storage, SQL, Data Transformation, Automation
Kompetenzen, die Sie erwerben: Metadata Management, Dataflow, Data Pipelines, Cloud Storage, Data Migration, Google Cloud Platform, Data Processing, Cloud Engineering, Extract, Transform, Load, Data Storage Technologies, Cloud Services, Data Integration, IT Automation, Data Lakes, Data Management, Real Time Data, Serverless Computing
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Transformation, Apache Spark, Serverless Computing
Zusammenfassend finden Sie hier 10 unsere beliebtesten data engineering Kurse
- Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
- NoSQL-, Big Data- und Spark-Grundlagen: IBM
- Introduction to Data Engineering on Google Cloud - Español: Google Cloud
- Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
- Data Analytics for Digital Transformation: Dartmouth College
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
- Webanwendungen und Befehlszeilen-Tools für Data Engineering: Duke University
- Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
- Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
- Introduction to Data Engineering on Google Cloud - 繁體中文: Google Cloud