Mapreduce Courses
MapReduce courses can help you learn data processing techniques, parallel computing, and distributed systems. You can build skills in optimizing data workflows, managing large datasets, and implementing algorithms for big data analysis. Many courses introduce tools like Apache Hadoop and Apache Spark, that support executing MapReduce jobs and processing vast amounts of information efficiently.
Popular Mapreduce Courses and Certifications
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming
Status: Free TrialDeepLearning.AI
Skills you'll gain: Data Storage, Query Languages, Data Lakes, File Systems, Database Systems, SQL, Databases, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Amazon S3, Graph Theory, Performance Tuning
Status: Free TrialSkills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Dataflow, Data Management, Data Architecture, Scalability
Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing
- Status: Free Trial
Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Issue Tracking, Unit Testing, Disaster Recovery
Status: Free TrialCloudera
Skills you'll gain: SQL, Apache Hive, Big Data, MySQL, Databases, PostgreSQL, Data Manipulation, Data Analysis, Virtual Machines
Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Status: Free TrialSkills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Identity and Access Management, Cloud Security, Data Security, Google Cloud Platform, Data Processing, Scalability
Status: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Jupyter, Google Cloud Platform, JSON, Application Programming Interface (API), SQL, Analytics
Status: Free TrialSkills you'll gain: PySpark, Data Pipelines, Apache Spark, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Text Mining, Data Transformation, Deep Learning, Performance Tuning
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration
In summary, here are 10 of our most popular mapreduce courses
- Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
- Trees and Graphs: Basics:Â University of Colorado Boulder
- Data Storage and Queries:Â DeepLearning.AI
- Engineering Data Ecosystems: Pipelines, ETL, Spark:Â Coursera
- Serverless Data Processing with Dataflow: Operations - 日本語版 : Google Cloud
- Serverless Data Processing with Dataflow: Operations:Â Google Cloud
- Analyzing Big Data with SQL:Â Cloudera
- Data Analysis Using Pyspark:Â Coursera
- Serverless Data Processing with Dataflow: Foundations em Português Brasileiro: Google Cloud
- Serverless Data Processing with Dataflow: Develop Pipelines en Español: Google Cloud
