Results for "cloud+dataflow+sdk"
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)
Google Cloud
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Site Reliability Engineering, Cloud Security, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Cloud Storage, Development Testing, Unit Testing, Containerization, File I/O, Data Transformation
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
Google Cloud
Skills you'll gain: Generative AI, Data Analysis, Model Training, Data-Driven Marketing, Customer Relationship Management (CRM) Software, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Data Science, Data Processing, Prompt Engineering
Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Configuration Management, Enterprise Security
Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Cloud Infrastructure, Data Modeling, Database Design, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
What brings you to Coursera today?
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
Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, File I/O, Data Transformation, Jupyter, Performance Tuning, SQL
Google Cloud
Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, System Monitoring, Serverless Computing
KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Skills you'll gain: GitHub Copilot, Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Azure, Cloud Storage, Data Storage, Prompt Patterns, Cloud Applications, Software Development, Text Mining, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Computer Vision, Cloud Computing, Machine Learning
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
In summary, here are 10 of our most popular cloud+dataflow+sdk courses
- Open source Data Engineering with Spark, dbt & Airflow:Â Coursera
- Serverless Data Processing with Dataflow:Â Google Cloud
- Machine Learning Operations (MLOps) on Google Cloud:Â Google Cloud
- Integrate Generative AI Into Your Data Workflow:Â Google Cloud
- Building Automated Data Pipelines with Spark,dbt,and Airflow:Â Coursera
- Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI:Â Coursera
- Data Engineering with Scala and Spark:Â Packt
- Serverless Data Processing with Dataflow: Develop Pipelines:Â Google Cloud
- Build Batch Data Pipelines on Google Cloud:Â Google Cloud
- Data Engineering Essentials:Â KodeKloud
