Results for "mapreduce+&+distributed+data+processing"
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)
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
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: 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
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: 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, 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)
Skills you'll gain: Apache Airflow, Service Level Agreement, Data Pipelines, Workflow Management, Dependency Analysis, Scalability, Service Level, System Monitoring
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: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Pipelines, Data Processing, Data Import/Export, Linux Commands, Linux, File Systems, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Software Installation, Java, C++ (Programming Language)
Skills you'll gain: Data Pipelines, Apache Kafka, Apache Airflow, Data Transformation, Extract, Transform, Load, Data Processing, Data Integration, Data Warehousing, Data Cleansing, Data Lakes, Data Mart, Performance Tuning, Shell Script, Bash (Scripting Language), Command-Line Interface
In summary, here are 10 of our most popular mapreduce+&+distributed+data+processing courses
- Open source Data Engineering with Spark, dbt & Airflow:Â Coursera
- Big Data Processing Using Hadoop:Â Johns Hopkins University
- Parallel, Concurrent, and Distributed Programming in Java:Â Rice University
- Serverless Data Processing with Dataflow:Â Google Cloud
- Big Data Foundations with Hadoop and Spark:Â Packt
- Cloud Computing for Data Science:Â University of Pittsburgh
- NoSQL, Big Data, and Spark Foundations:Â IBM
- Real-Time, Real Fast: Kafka & Spark for Data Engineers:Â Coursera
- Automate Data Workflows with Airflow Excellence:Â Coursera
- Optimizing Spark and Cloud Data Storage for Analytics:Â Coursera
