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 Science, Databases, Data Integration, SQL, Query Languages, File I/O, Data Architecture, Data Manipulation, 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
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Open Source Technology, Data Transformation, Debugging
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
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: 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
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
Coursera
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Geospatial Information and Technology, Apache Airflow, Geospatial Mapping, Spatial Data Analysis, GIS Software, Cloud Computing, Geographic Information Systems, Leaflet (Software), Google Cloud Platform, Real Time Data, Global Positioning Systems, Data Transformation, Data Analysis, Anomaly Detection, Technical Communication, Machine Learning
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)
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis
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
- Introduction to Big Data with Spark and Hadoop:Â IBM
- Serverless Data Processing with Dataflow:Â Google Cloud
- Cloud Computing for Data Science:Â University of Pittsburgh
- NoSQL, Big Data, and Spark Foundations:Â IBM
- ETL and Data Pipelines with Shell, Airflow and Kafka:Â IBM
- Building Automated Data Pipelines with Spark,dbt,and Airflow:Â Coursera
- Geospatial Data Engineering:Â Coursera
