Results for "mapreduce & distributed 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: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Rice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Event-Driven Programming, Distributed Computing, Java Programming, Dataflow, Java, OS Process Management, Scala Programming, Data Structures, Scalability, Programming Principles, Server Side, Servers, Application Frameworks, Algorithms, Performance Tuning, Performance Testing, Functional Design
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
Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, Database Development, Database Systems, Databases, Database Management Systems, Database Management, Extract, Transform, Load, Database Software, Database Administration, PySpark, Apache Hive, Machine Learning Methods, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Model Evaluation
Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Java Programming, Application Deployment, Enterprise Application Management
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: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, Power BI, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Scalability, Data Processing, Data Governance, Event-Driven Programming, System Monitoring, Docker (Software)
Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Distributed Computing, Scalability, Transaction Processing, Database Systems, Database Design, Applied Machine Learning, Database Management Systems, Data Architecture, Database Theory, Database Management, Database Development, Database Architecture and Administration, Cloud Computing, Big Data, Relational Databases, Query Languages, Data Processing, SQL
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 Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Cloud Infrastructure, Data Modeling, Database Design, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Configuration Management, Enterprise Security
In summary, here are 10 of our most popular mapreduce & distributed data processing courses
- Big Data Processing Using Hadoop: Johns Hopkins University
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Parallel, Concurrent, and Distributed Programming in Java: Rice University
- Serverless Data Processing with Dataflow: Google Cloud
- NoSQL, Big Data, and Spark Foundations: IBM
- Big Data Foundations with Hadoop and Spark: Packt
- Cloud Computing for Data Science: University of Pittsburgh
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
- Large-Scale Database Systems: Johns Hopkins University
- Optimizing Spark and Cloud Data Storage for Analytics: Coursera
