Results for "aws: data processing"
Skills you'll gain: AWS Kinesis, AWS SageMaker, AWS CloudFormation, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, Software Development Tools, Data Security, Data Import/Export, Database Systems, Databases, Version Control, Apache Spark, Apache Airflow, Data Modeling, Cloud Security, Database Management Systems, AWS Identity and Access Management (IAM), Data Processing
Johns Hopkins University
Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Pipelines, Data Science, Databases, Data Integration, SQL, Query Languages, File I/O, Data Architecture, Distributed Computing, Performance Tuning
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: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
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)
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
What brings you to Coursera today?
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
Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon Web Services, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Data Lakes, Data Storage, Business Intelligence Software, Databases, Apache Airflow, Cloud Computing Architecture, Virtual Networking
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: Apache Airflow, Service Level Agreement, Data Pipelines, Workflow Management, Dependency Analysis, Scalability, Service Level, System Monitoring
Skills you'll gain: AWS Kinesis, Real Time Data, Apache Spark, Apache Hive, Data Pipelines, Apache Hadoop, Data Processing, Extract, Transform, Load, Amazon Web Services, Serverless Computing, Data Lakes, Data Visualization, Interactive Data Visualization, Query Languages, Performance Tuning
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, Serverless Computing, AWS SageMaker, Generative AI, AI Integrations, Token Optimization, AI Workflows, Amazon Web Services, Other Programming Languages, Rust (Programming Language), Analytics, Anomaly Detection, Performance Tuning, Development Environment, Performance Analysis, Python Programming, Operational Efficiency, Data Wrangling, Benchmarking, Cost Reduction
In summary, here are 10 of our most popular aws: data processing courses
- AWS Certified Data Engineer Associate Exam Prep:Â LearnKartS
- Big Data Processing Using Hadoop:Â Johns Hopkins University
- Data Engineering Workflow Orchestration with Airflow:Â Edureka
- Data Engineering, Big Data, and Machine Learning on GCP:Â Google Cloud
- Data Engineering on AWS - The Complete Training:Â Packt
- Serverless Data Processing with Dataflow:Â Google Cloud
- Cloud Computing for Data Science:Â University of Pittsburgh
- Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate:Â Whizlabs
- Optimizing Spark and Cloud Data Storage for Analytics:Â Coursera
- Automate Data Workflows with Airflow Excellence:Â Coursera
