Results for "mapreduce & distributed data processing"
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, SQL, Query Languages, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, File Management, Performance Tuning
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
Status: New
Status: NewStatus: Free TrialSkills you'll gain: Apache Kafka, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Multi-Tenant Cloud Environments, Dashboard, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Governance, Data Processing, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)
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 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
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: PySpark, Apache Spark, Power BI, Data Visualization Software, Big Data, Distributed Computing, Databricks, Dashboard, SQL, Data Processing, Data Transformation, Performance Tuning, Performance Analysis
Status: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Apache Kafka, Cloud Security, Identity and Access Management, Performance Tuning, Data Integrity, Maintainability, Real Time Data, Data Transformation, Debugging, Extract, Transform, Load, System Monitoring, CI/CD, Containerization, Unit Testing, Data Storage Technologies, File I/O
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: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability
Status: NewStatus: Free TrialSkills you'll gain: Enterprise Architecture, Apache Kafka, Data Architecture, Generative AI, Data Infrastructure, Root Cause Analysis, Dataflow, Solution Architecture, Data Quality, Data Pipelines, Software Architecture, Data Integration, Cloud Storage, Data Storage, Failure Analysis, Data Processing, Dependency Analysis, Real Time Data
Status: NewStatus: Free TrialSkills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Processing, Data Import/Export, Data Integration, Linux Commands, File Systems, Text Mining, Data Transformation, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Java, C++ (Programming Language)
In summary, here are 10 of our most popular mapreduce & distributed data processing courses
- Big Data Processing Using Hadoop: Johns Hopkins University
- Parallel, Concurrent, and Distributed Programming in Java: Rice University
- Fix Data Bottlenecks: Optimize Spark Performance: Coursera
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
- NoSQL, Big Data, and Spark Foundations: IBM
- Serverless Data Processing with Dataflow: Google Cloud
- Data Processing, Exploratory Analysis and Visualization: Microsoft
- Serverless Data Processing with Dataflow en Español: Google Cloud
- Introduction to Big Data with Spark and Hadoop: IBM
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
