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: Free TrialSkills you'll gain: Model Deployment, Feature Engineering, PySpark, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, PyTorch (Machine Learning Library), Big Data, Transfer Learning, Text Mining, Model Evaluation, Natural Language Processing, Unstructured Data, Machine Learning, Scalability, Unsupervised Learning, Supervised Learning
Status: Free TrialSkills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Programming Principles, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Programming
Status: Free TrialCloudera
Skills you'll gain: SQL, Apache Hive, Big Data, MySQL, Databases, PostgreSQL, Data Manipulation, Data Analysis, Virtual Machines
Status: NewStatus: Free TrialSkills you'll gain: Java Programming, Functional Design, Performance Tuning, Application Programming Interface (API)
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 TrialSkills you'll gain: Dataflow, Data Pipelines, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Data Transformation, Unit Testing, Disaster Recovery
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 TrialGoogle Cloud
Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, Database Management, System Monitoring, Serverless Computing
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration, Data Migration
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration, Data Migration, Data Analysis
Status: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Jupyter, File I/O, Google Cloud Platform, JSON, Application Programming Interface (API), SQL, Analytics
In summary, here are 10 of our most popular mapreduce courses
- Data Analytics and Machine Learning for Big Data:Â Microsoft
- Engineering Data Ecosystems: Pipelines, ETL, Spark:Â Coursera
- Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
- Analyzing Big Data with SQL:Â Cloudera
- Java SE 17 Developer (1Z0-829): Unit 5:Â Pearson
- Serverless Data Processing with Dataflow: Operations - 日本語版 : Google Cloud
- Serverless Data Processing with Dataflow: Operations:Â Google Cloud
- Data Analysis Using Pyspark:Â Coursera
- Build Batch Data Pipelines on Google Cloud:Â Google Cloud
- Configuring MongoDB Atlas with BigQuery Dataflow Templates:Â Google Cloud
