Results for "data orchestration"
Skills you'll gain: Apache Airflow, Data Warehousing, Data Flow Diagrams (DFDs), Data Pipelines, Diagram Design, Data Integration, Data Lakes, Performance Tuning, Data Governance, Cloud Deployment, Data Management, Data Modeling, Data Mapping, Extract, Transform, Load, Trend Analysis, Service Level Agreement, Systems Integration, SQL, Apache Kafka, Python Programming
Skills you'll gain: Data Pipelines, Data Integration, Data Lakes, Apache Airflow, Performance Tuning, Data Security, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Data Architecture, Cloud Computing, Data Governance
Skills you'll gain: Apache Airflow, CI/CD, Data Pipelines, Continuous Deployment, Workflow Management, Site Reliability Engineering, Data Engineering, Model Deployment, Data Quality, Version Control, PostgreSQL, Git (Version Control System), Python Programming, Debugging, SQL, Production Management, Scheduling, Unit Testing, Linux Commands, Web Servers
Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), SQL, Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Automation, Configuration Management, Root Cause Analysis, Python Programming
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
What brings you to Coursera today?
Skills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Amazon Web Services, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Cloud Engineering, Cloud Management, Interactive Data Visualization, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, AWS Identity and Access Management (IAM)
Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation
Skills you'll gain: Data Architecture, Data Infrastructure, LLM Application, Data Quality, AI Workflows, Generative AI, Data Governance, Data Pipelines, Extract, Transform, Load, Distributed Computing, AI Integrations, Data Management, Self Service Technologies, Cloud Storage, Data Processing, Data Storage, Scalability, Data Wrangling, Data Collection
Skills you'll gain: 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
Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Java Programming, Application Deployment, Enterprise Application Management
Skills you'll gain: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Architecture, Performance Tuning, Data Store, Unit Testing, Data Transformation, Data Processing, Data Validation, Maintainability, Continuous Integration, Continuous Deployment, Data Integrity
In summary, here are 10 of our most popular data orchestration courses
- Pipeline Architects: Data Engineering to Lakehouse:Â Coursera
- Modern Data Architecture & Lakehouse Engineering:Â Coursera
- Data Engineering Workflow Orchestration with Airflow:Â Edureka
- DataOps: Automation & Reliability:Â Coursera
- Open source Data Engineering with Spark, dbt & Airflow:Â Coursera
- Orchestrate, Analyze, and Evaluate ML Pipelines:Â Coursera
- Data Engineering on AWS - The Complete Training:Â Packt
- Orchestrate ML Workflows with Vertex AI Pipelines:Â Google Cloud
- Data Mesh Architectures and Implementations:Â Edureka
- Microsoft Fabric Data Engineer: DP-700 Exam Prep:Â Edureka
