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  • Cluster Computing

Results for "cluster computing"


  • 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

  • I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills 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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Cloud Computing Foundations

    Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Platform As A Service (PaaS), GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    288 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pittsburgh

    Cloud Computing Fundamentals

    Skills you'll gain: Cloud Computing, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, Virtualization, Cloud Platforms, Virtual Machines, Data Infrastructure, Scalability, NoSQL, Cloud Storage, Database Design, Database Management, Data Warehousing, MongoDB, MySQL, SQL, Application Programming Interface (API), Python Programming, Git (Version Control System)

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Computing, Ethics, and Society

    Skills you'll gain: Data Ethics, Security Awareness, Healthcare Ethics, Responsible AI, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Diversity Equity and Inclusion Initiatives, Social Impact, Media and Communications, Automation, Robotics, Cultural Diversity, Personally Identifiable Information, Emerging Technologies

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Enterprise Computing

    Skills you'll gain: Mainframe Computing, z/OS, Virtualization, IBM Cloud, Virtual Machines, Infrastructure Architecture, Computer Architecture, Enterprise Security, Computer Systems, Computer Hardware, Cryptography, System Configuration, Process Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts, Part 1

    Skills you'll gain: Distributed Computing, NoSQL, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to High-Performance and Parallel Computing

    Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, File Systems, Linux, Scripting, Command-Line Interface, Performance Tuning, Programming Principles

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    161 reviews

    Beginner · Course · 1 - 4 Weeks

1234…387

In summary, here are 10 of our most popular cluster computing courses

  • Hadoop and Spark Fundamentals: Pearson
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Cloud Computing Foundations: Duke University
  • Cloud Computing Fundamentals: University of Pittsburgh
  • Computing, Ethics, and Society: University of Colorado Boulder
  • Social Computing: Johns Hopkins University
  • Data Processing, Exploratory Analysis and Visualization: Microsoft
  • Introduction to Enterprise Computing: IBM
  • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh

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