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    • Hadoop

    Hadoop Courses Online

    Master Hadoop for big data processing. Learn to use Hadoop ecosystem tools like HDFS, MapReduce, and Hive for managing large datasets.

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    Explore the Hadoop Course Catalog

    • G

      Google Cloud

      Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

      Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Infrastructure, Computing Platforms, Jupyter, System Configuration

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Dataproc: Qwik Start - Console

      Skills you'll gain: Apache Spark, Apache Hadoop, Google Cloud Platform, Data Processing, Command-Line Interface, Big Data, Cloud Computing

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Machine Learning with Spark on Google Cloud Dataproc

      Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Building Realtime Pipelines in Cloud Data Fusion

      Skills you'll gain: Cloud-Based Integration, Real Time Data, Data Pipelines, Apache Spark, Data Integration, Data Transformation, Data Wrangling

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Building Batch Pipelines in Cloud Data Fusion

      Skills you'll gain: Data Wrangling, Data Transformation, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Integration, Cloud Development, Cloud-Based Integration

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Java Built in Data Structures

      Skills you'll gain: Java, Data Structures, Java Programming, Data Access, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Big Data Analysis to a Slide Presentation

      Skills you'll gain: Big Data, Google Cloud Platform, Google Sheets, Data Visualization, Spreadsheet Software, Analytics, Scripting, Data Presentation, Google Workspace, Cloud API

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Distributed Image Processing in Cloud Dataproc

      Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Distributed Computing, Package and Software Management

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Kafka Integration with Storm, Spark, Flume, and Security

      Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Apache Hadoop, Data Integration, Performance Tuning, Data Security, Data Processing, Scala Programming, Distributed Computing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Using gsutil to Perform Operations on Buckets and Objects

      Skills you'll gain: Cloud Management, Cloud Storage, File Management, Data Storage, Google Cloud Platform

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Leveraging Unstructured Data with Cloud Dataproc on Google Cloud em Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Big Data, Apache Spark, Apache Hadoop, Jupyter, PySpark, Cloud Storage, Cloud Services, Apache Hive, Data Processing, Unstructured Data, Natural Language Processing, Distributed Computing, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations

      Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Unit Testing, Disaster Recovery

      3.6
      Rating, 3.6 out of 5 stars
      ·
      17 reviews

      Advanced · Course · 1 - 3 Months

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    1…91011…12

    In summary, here are 10 of our most popular hadoop courses

    • Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
    • Dataproc: Qwik Start - Console: Google Cloud
    • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
    • Building Realtime Pipelines in Cloud Data Fusion: Google Cloud
    • Building Batch Pipelines in Cloud Data Fusion: Google Cloud
    • Java Built in Data Structures: Coursera Project Network
    • Big Data Analysis to a Slide Presentation: Google Cloud
    • Distributed Image Processing in Cloud Dataproc: Google Cloud
    • Kafka Integration with Storm, Spark, Flume, and Security: LearnKartS
    • Using gsutil to Perform Operations on Buckets and Objects: Google Cloud

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Hadoop

    Apache Hadoop is a software library operated by the Apache Software Foundation, an open-source software publisher. Hadoop is a framework used for distributed processing of big data, especially across a clustered network of computers. It uses simple programming models and can be used with a single server as well as with installations that involve hundreds or even thousands of machines with their own computation and storage capabilities. The Hadoop software is used to deliver services across a network of computers, any one of which could crash. This is important in data management, machine learning, data warehousing, and other machine-intensive programming applications.‎

    Careers that use Hadoop include computer engineering, computer programming, computer science, and data analysis. Hadoop is typically used in programming and data analysis positions that work with big data. Hence, more and more careers call for an understanding of it. Data management, machine learning, and cloud storage systems run on Hadoop. As more work involves big data, the ability to use Hadoop to collect and analyze it becomes more important. Learning Hadoop will prepare you to use data or to communicate with colleagues who are managing it. Structuring data warehouses and designing management dashboards can improve operations in many types of organizations. Hadoop is specialized, but its use is becoming more widespread.‎

    Online courses can help you learn Hadoop by introducing you to the basics of it, having you work through exercises and create programs that use it, and seeing how it connects to other parts of the data warehouse. Some courses require no programming experience. Others assume that you understand programming but need specific experience with Hadoop. Some courses are practical, offering hands-on experience and leading to the creations of programs that can be used right away. Others are theoretical and explain the nature of Hadoop and the underlying principles of big data. The courses build on each other, with some leading to Specializations and online degrees.‎

    Online Hadoop courses offer a convenient and flexible way to enhance your knowledge or learn new Hadoop skills. Choose from a wide range of Hadoop courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Hadoop, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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