Results for "cloud+dataprep"
Microsoft
Skills you'll gain: Data Literacy, Data Storytelling, Data-Driven Decision-Making, Cloud Solutions, Cloud Security, Statistical Modeling, Business Analytics, Infrastructure as Code (IaC), Team Oriented, Advanced Analytics, Virtual Machines, Data Mining, Hybrid Cloud Computing, System Monitoring, Enterprise Security, Data Processing, Data Manipulation, Statistical Software, Data Import/Export, Computer Programming
Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Database Administration, Data Warehousing, Database Theory, Databases, Cloud Services, Data Architecture, NoSQL, Database Software, Apache Spark, Relational Databases, Database Systems, Cloud Storage, Database Management Systems, MySQL, Data Store
Skills you'll gain: Ansible, Containerization, CI/CD, Docker (Software), Version Control, DevOps, Application Deployment, Devops Tools, Data Pipelines, Development Environment, Continuous Integration, Continuous Deployment, Infrastructure as Code (IaC), Git (Version Control System), Data Infrastructure, Configuration Management, Performance Tuning, Software Versioning, IT Automation, Root Cause Analysis
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
Google Cloud
Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Gemini, Data Visualization, Dashboard Creation, Dashboard, Interactive Data Visualization, Data Presentation, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Google Gemini, Data Infrastructure, Cloud Storage, Identity and Access Management
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Cloud Deployment, Apache Spark, Web Services, Cloud Technologies, Cloud Services, Virtualization and Virtual Machines, Cloud Computing Architecture, PySpark, Cloud Infrastructure, Cloud Development, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
What brings you to Coursera today?
Skills you'll gain: Dashboard Creation, Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Dataflow, Data Pipelines, Cloud Storage, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Cloud Engineering, Data Architecture, Data Governance, Apache Kafka, Data Warehousing
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: 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: Azure Synapse Analytics, Relational Databases, Power BI, Microsoft Azure, Data Store, Data Visualization, Database Management, Real Time Data, Interactive Data Visualization, Data Storage, Database Theory, Dashboard, Data Presentation, Databricks, Database Administration, Data Warehousing, Data Management, Data Architecture, Data Integrity, Data Analysis
Skills you'll gain: Cloud Security, Apache Spark, Transaction Processing, Cloud Infrastructure, Data Lakes, PySpark, Data Security, Security Controls, Data Infrastructure, Performance Tuning, Cloud Computing, Cloud Storage, Data Storage Technologies, Data Storage, Cloud Deployment, Data Warehousing, Data Management, Infrastructure Architecture, Data Integrity, Infrastructure as Code (IaC)
Skills you'll gain: Azure Synapse Analytics, Power BI, Databricks, Microsoft Azure, Cloud Services, Data Warehousing, Data Architecture, Apache Spark, Database Systems, Cloud Storage, Database Theory, Databases, Data Store, Dashboard Creation, Analytics, Big Data, Extract, Transform, Load, Data Visualization Software, Data Integration, Data Visualization
In summary, here are 10 of our most popular cloud+dataprep courses
- Foundations of Cloud Analytics:Â Microsoft
- Microsoft Azure Data Fundamentals DP-900 Exam Prep:Â Microsoft
- DevOps and CI/CD for Data Engineering Performance:Â Coursera
- DataOps: Automation & Reliability:Â Coursera
- Google Cloud Data Analytics:Â Google Cloud
- Cloud Computing for Data Science:Â University of Pittsburgh
- Preparing for Google Cloud Certification: Cloud Data Engr:Â Google Cloud
- Data Engineering on AWS - The Complete Training:Â Packt
- Data Engineering with Scala and Spark:Â Packt
- Microsoft Azure Data Fundamentals Exam Guide (DP-900):Â Packt
