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  • Mapreduce Distributed Data Processing


Results for "mapreduce+&+distributed+data+processing"


  • Status: New
    New
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    U

    University of Pittsburgh

    Cloud Computing for Data Science

    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

    Build toward a degree

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Big Data Processing Using Hadoop

    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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow

    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

    4
    Rating, 4 out of 5 stars
    ·
    128 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Distributed Systems and Web Services

    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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel, Concurrent, and Distributed Programming in Java

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    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

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills 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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    832 reviews

    Beginner · Specialization · 3 - 6 Months

  • The Google AI Certificate that powers your career

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  • Status: Free Trial
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    P

    Pearson

    Hadoop and Spark Fundamentals

    Skills 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)

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Large-Scale Database Systems

    Skills you'll gain: Data Warehousing, Apache Hadoop, Distributed Computing, Scalability, Transaction Processing, Database Design, Database Management Systems, Database Systems, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Query Languages, Big Data, Databases, Data Processing, Machine Learning, SQL, Data Access

    3.5
    Rating, 3.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

    Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    95 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow en Español

    Skills 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, System Monitoring, CI/CD, Containerization, Unit Testing, Data Storage Technologies, SQL, Scalability

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

1234…9

In summary, here are 10 of our most popular mapreduce+&+distributed+data+processing courses

  • Cloud Computing for Data Science: University of Pittsburgh
  • Big Data Processing Using Hadoop: Johns Hopkins University
  • Serverless Data Processing with Dataflow: Google Cloud
  • Distributed Systems and Web Services: University of Pittsburgh
  • Parallel, Concurrent, and Distributed Programming in Java: Rice University
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Hadoop and Spark Fundamentals: Pearson
  • Data Processing, Exploratory Analysis and Visualization: Microsoft
  • Large-Scale Database Systems: Johns Hopkins University

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