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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 Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Analysis Using Hadoop Tools

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Apache Spark, NoSQL, Data Management, Data Processing, SQL, Query Languages, Data Manipulation, Scripting Languages, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Building Batch Data Pipelines on GCP en Español

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Apache Hive, Data Integration, Apache Spark, PySpark, Serverless Computing, Apache Hadoop, Big Data, Data Migration, Data Transformation, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Alibaba Cloud Academy

    Big Data Analysis Deep Dive

    Skills you'll gain: Dashboard, Big Data, Data Processing, Data Visualization Software, Apache Hive, Apache Spark, Apache Hadoop, Pandas (Python Package), Data Manipulation, SQL, Extract, Transform, Load, PySpark, Business Intelligence, Data Integration, Database Management, Cloud Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts: Part 2

    Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    319 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Data Analytics

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Designing data-intensive applications

    Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Relational Databases, Unstructured Data, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, NoSQL, Data Processing, Maintainability, Software Design, SQL, Apache Hadoop

    4.3
    Rating, 4.3 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Big Data and Hadoop Foundations and Setup

    Skills you'll gain: Big Data, Apache Hadoop, Data Infrastructure, Data Processing, Analytics, Data Science, Distributed Computing, Linux, Software Installation, Scalability, System Configuration

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Cloudera

    Managing Big Data in Clusters and Cloud Storage

    Skills you'll gain: Apache Hive, Database Management, SQL, Big Data, Databases, Data Management, Amazon S3, Apache Hadoop, Data Storage, Cloud Storage, Performance Tuning, File Systems, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
    ·
    297 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Hadoop and Spark Fundamentals: Unit 3

    Skills you'll gain: Apache Hadoop, Apache Hive, Apache Spark, Big Data, Data Pipelines, Data Import/Export, Data Integration, Data Processing, Relational Databases, File Systems, Command-Line Interface, Configuration Management, Software Installation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    HDFS Architecture and Programming

    Skills you'll gain: Apache Hadoop, File Systems, Big Data, Java, Data Structures, Infrastructure Architecture, File Management, Systems Architecture, Data Processing, Distributed Computing, Data Storage, Development Environment, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

    Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management, Servers

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Beginner · Project · Less Than 2 Hours

Searches related to mapreduce

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big data with hadoop: apply mapreduce, pig & hive
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In summary, here are 10 of our most popular mapreduce courses

  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Data Analysis Using Hadoop Tools: Johns Hopkins University
  • Building Batch Data Pipelines on GCP en Español: Google Cloud
  • Big Data Analysis Deep Dive: Alibaba Cloud Academy
  • Cloud Computing Concepts: Part 2: University of Illinois Urbana-Champaign
  • AWS: Data Analytics: Whizlabs
  • Designing data-intensive applications: Universidad Nacional Autónoma de México
  • Big Data and Hadoop Foundations and Setup: Johns Hopkins University
  • Managing Big Data in Clusters and Cloud Storage: Cloudera
  • Hadoop and Spark Fundamentals: Unit 3: Pearson

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