Results for "data engineering with gcp"
Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services, Scalability
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
Status: AI SkillsSkills you'll gain: Extract, Transform, Load, NoSQL, Apache Spark, Data Warehousing, Web Scraping, Database Administration, Apache Hadoop, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, IBM Cognos Analytics, Database Management, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
Pragmatic AI Labs
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Relational Databases, Databases, Unit Testing, Stored Procedure, Data Import/Export, SQL Server Integration Services (SSIS), Programming Principles, PostgreSQL, MySQL, Query Languages, File I/O, Python Programming, Data Transformation, Package and Software Management
What brings you to Coursera today?
Google Cloud
Skills you'll gain: Generative AI, Data Analysis, Machine Learning Methods, Predictive Analytics, Machine Learning, Data Science
Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Management, Databases, Unit Testing, SQL Server Integration Services (SSIS), Data Transformation, Package and Software Management, Application Programming Interface (API), Data Pipelines, Python Programming, Programming Principles
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 Infrastructure, Cloud Engineering, Data Architecture, Performance Tuning, Unit Testing, Data Transformation, Data Processing, Data Validation, Real Time Data, Big Data, Data Integrity
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, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation
In summary, here are 10 of our most popular data engineering with gcp courses
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- IBM Data Engineering: IBM
- Data Engineering with Delta Lake on Databricks: Pragmatic AI Labs
- DataOps: Automation & Reliability: Coursera
- Data Engineering Foundations: IBM
- Introduction to Data Engineering: IBM
- Integrate Generative AI Into Your Data Workflow: Google Cloud
- Mastering Azure Databricks for Data Engineers: Packt
- Python Project for Data Engineering: IBM
