Results for "data parallelism"
Skills you'll gain: Data Pipelines, Data Integration, Data Lakes, Apache Airflow, Performance Tuning, Data Security, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Data Architecture, Cloud Computing, Data Governance
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
Skills you'll gain: Database Design, Performance Tuning, Data Warehousing, Apache Spark, Data Architecture, SQL, Query Languages, Data Transformation, Disaster Recovery, Database Management, PySpark, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management
Rice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing
Skills you'll gain: Data Pipelines, Data Validation, SQL, Extract, Transform, Load, Data Transformation, JSON, Data Processing, Database Management, Data Mart, Data Warehousing, Data Integration, Star Schema, Performance Tuning, Data Quality, Verification And Validation, Dashboard, Systems Integration, Dimensionality Reduction
University of Colorado Boulder
Skills you'll gain: Hardware Architecture, Bash (Scripting Language), Distributed Computing, Scalability, Computer Systems, File I/O, Big Data, Operating Systems, File Systems, Scripting, Command-Line Interface, C and C++, Performance Tuning, Computer Programming Tools, Linux, Load Balancing, Programming Principles, Communication Systems, Linear Algebra
What brings you to Coursera today?
Skills you'll gain: Apache Spark, Distributed Computing, PySpark, Data Pipelines, Performance Tuning, Scalability, Debugging, Performance Analysis, Data Processing
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
Skills you'll gain: Cloud Security, Apache Spark, Transaction Processing, Data Lakes, PySpark, Data Security, Data Infrastructure, Performance Tuning, Cloud Computing, Cloud Computing Architecture, Amazon S3, 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: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Data Quality, Data Validation, Configuration Management, Enterprise Security
Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Data Processing, Extract, Transform, Load, Data-Driven Decision-Making, Statistical Analysis
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
In summary, here are 10 of our most popular data parallelism courses
- Modern Data Architecture & Lakehouse Engineering: Coursera
- Cloud Computing for Data Science: University of Pittsburgh
- Performance Engineering for Data Systems: Coursera
- Parallel, Concurrent, and Distributed Programming in Java: Rice University
- Advanced SQL for Data Pipeline Optimization: Coursera
- High-Performance and Parallel Computing: University of Colorado Boulder
- Fix Data Bottlenecks: Optimize Spark Performance: Coursera
- Big Data Processing with Hadoop and Spark: University of Pittsburgh
- Optimizing Spark and Cloud Data Storage for Analytics: Coursera
- Building Automated Data Pipelines with Spark,dbt,and Airflow: Coursera
