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    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

    • Status: Free Trial
      Free Trial
      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, Distributed Computing, Performance Tuning, Data Transformation, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      451 reviews

      Intermediate · Course · 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, File Systems, Data Processing, Data Management, Analytics, Data Science, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Data Transformation, File Management, Performance Tuning

      Intermediate · Specialization · 3 - 6 Months

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

      Pearson

      Hadoop and Spark Fundamentals

      Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Data Pipelines, Data Processing, Data Import/Export, Data Integration, Linux Commands, Data Mapping, Linux, File Systems, Text Mining, Data Management, Distributed Computing, Relational Databases, Java, C++ (Programming Language)

      Intermediate · Specialization · 1 - 4 Weeks

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      786 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      53 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Database Administration, Data Store, Jupyter, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Data Engineering: Pipelines, ETL, Hadoop

      Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data-Driven Decision-Making, Big Data, Data Warehousing, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      The Ultimate Hands-On Hadoop

      Skills you'll gain: Apache Spark, Apache Hadoop, Real Time Data, Apache Hive, Apache Kafka, Big Data, Distributed Computing, Data Processing, Databases, MongoDB, NoSQL, System Design and Implementation, SQL, Scalability

      Intermediate · Course · 1 - 3 Months

    • 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 Processing, Analytics, Data Science, Distributed Computing, Linux, Data Storage, Software Installation, Scalability, System Configuration

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Architecture

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Database Administration, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Data Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Introduction to Big Data with Spark and Hadoop: IBM
    • Big Data Processing Using Hadoop: Johns Hopkins University
    • Hadoop and Spark Fundamentals: Pearson
    • Hadoop Platform and Application Framework: University of California San Diego
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Big Data: University of California San Diego
    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • IBM Data Engineering: IBM
    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • The Ultimate Hands-On Hadoop: Packt

    Skills you can learn in Software Development

    Programming Language (34)
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    Google Cloud Platform (18)
    Application Programming Interfaces (17)
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    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
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    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.‎

    A Hadoop certified developer is someone who has demonstrated the ability to build and manage data processing applications on the Apache Hadoop framework. Certifications often focus on skills in MapReduce, HDFS, and data workflows. Courses like Introduction to Big Data with Spark and Hadoop from IBM on Coursera can help you build foundational knowledge as you prepare.‎

    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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