Results for "mapreduce+&+distributed+data+processing"
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Web Services, Cloud Computing, Cloud Computing Architecture, Cloud Storage, Cloud Infrastructure, Cloud Applications, Google Cloud Platform, Flask (Web Framework), Distributed Computing, Containerization, Software Architecture, Docker (Software), Virtualization, Restful API, JSON, Microservices, Scalability, Extensible Markup Language (XML), API Design, Computer Architecture
Status: Free TrialJohns 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, SQL, Query Languages, Java, Data Manipulation, Data Structures, Distributed Computing, Performance Tuning, Software Architecture
Status: NewStatus: Free TrialUniversity 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
Status: NewStatus: Free TrialUniversity 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
Status: NewStatus: Free Trial
Status: Free TrialRice 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
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing
Status: Free TrialSkills 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, Data Transformation, Debugging
Status: Free TrialSkills you'll gain: Data Pipelines, Apache Kafka, Apache Airflow, Extract, Transform, Load, Data Processing, Data Warehousing, Data Integration, Data Migration, Data Quality, Data Storage Technologies, Web Scraping, Data Transformation, Real Time Data, Data Mart, Performance Tuning, Scalability
Status: Free TrialGoogle Cloud
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Data Infrastructure, Cloud Security, Cloud Computing, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Data Storage Technologies, Unit Testing, Containerization, Interoperability, File I/O, Data Transformation
Status: NewStatus: Free TrialSkills you'll gain: Apache Spark, Distributed Computing, PySpark, Data Pipelines, Performance Tuning, Scalability, Debugging, Performance Analysis, Data Processing
Status: NewStatus: Free TrialSkills you'll gain: Apache Airflow, Service Level Agreement, Data Pipelines, Workflow Management, Scalability, MLOps (Machine Learning Operations), DevOps, Extract, Transform, Load, System Monitoring, Incident Response
What brings you to Coursera today?
In summary, here are 10 of our most popular mapreduce+&+distributed+data+processing courses
- Distributed Systems and Web Services:Â University of Pittsburgh
- Big Data Processing Using Hadoop:Â Johns Hopkins University
- Big Data Processing with Hadoop and Spark:Â University of Pittsburgh
- Cloud Computing for Data Science:Â University of Pittsburgh
- Data Processing, Exploratory Analysis and Visualization:Â Microsoft
- Parallel, Concurrent, and Distributed Programming in Java:Â Rice University
- NoSQL, Big Data, and Spark Foundations:Â IBM
- Introduction to Big Data with Spark and Hadoop:Â IBM
- ETL and Data Pipelines with Shell, Airflow and Kafka:Â IBM
- Serverless Data Processing with Dataflow:Â Google Cloud
