Filter by
The language used throughout the course, in both instruction and assessments.
Results for "etl pipelines"
Skills you'll gain: CI/CD, Full-Stack Web Development, MongoDB, Application Deployment, Cloud Applications, Node.JS, React.js, DevOps, IBM Cloud, NoSQL, Database Management, Kubernetes, JavaScript Frameworks, Front-End Web Development, Software Architecture, Application Development, Web Applications, Authorization (Computing), Server Side, Back-End Web Development
Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Jupyter, Deep Learning, Machine Learning Methods, Pandas (Python Package), Predictive Modeling, Application Deployment, Data Import/Export, Supervised Learning
LearnKartS
Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Data Pipelines, Apache Spark, Big Data, Infrastructure Architecture, Systems Architecture, Data Processing, Data Architecture, Security Controls, Data Security, Distributed Computing, Scala Programming, Restful API, Configuration Management, Scalability, System Configuration, JSON
DeepLearning.AI
Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, Data Manipulation, Database Design, Data Mart, Star Schema, Applied Machine Learning, Real Time Data, Data Access
Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Pandas (Python Package), Serverless Computing, SQL, Jupyter, Google Cloud Platform
LearnKartS
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Big Data, Data Processing, Distributed Computing, Scalability, Software Installation, Performance Tuning, System Configuration
- Status: Free
Amazon Web Services
Skills you'll gain: Infrastructure as Code (IaC), Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Data Warehousing, Security Controls, Amazon CloudWatch, Terraform, Requirements Analysis
Skills you'll gain: Google Cloud Platform, Data Pipelines, Big Data, Data Processing, Kubernetes
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Data Analysis, Cloud Development, Applied Machine Learning, Predictive Modeling, Application Deployment, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms
Google Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Data Pipelines, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning
Skills you'll gain: Kubernetes, CI/CD, Application Deployment, DevOps, Continuous Integration, Containerization, Continuous Deployment, Package and Software Management, YAML, Infrastructure as Code (IaC), Git (Version Control System)
Google Cloud
Skills you'll gain: Continuous Delivery, Release Management, CI/CD, Kubernetes, Application Deployment, Google Cloud Platform, Containerization
In summary, here are 10 of our most popular etl pipelines courses
- JavaScript Full Stack Capstone Project: IBM
- Intro to TensorFlow en Español: Google Cloud
- Apache Kafka: LearnKartS
- Data Modeling, Transformation, and Serving: DeepLearning.AI
- Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
- Kafka Fundamentals: LearnKartS
- Data Engineering on AWS - Foundations: Amazon Web Services
- Build a BigQuery Processing Pipeline with Events for Cloud Run for Anthos: Google Cloud
- MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
- ML Pipelines on Google Cloud - Français: Google Cloud