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  2. Hadoop

Hadoop Courses

Hadoop courses can help you learn data processing, distributed storage, and big data analytics. You can build skills in writing MapReduce programs, managing Hadoop clusters, and utilizing HDFS for data storage. Many courses introduce tools like Apache Hive for data querying, Apache Pig for data manipulation, and Apache Spark for real-time processing, demonstrating how these skills are applied in handling large datasets and performing complex analyses.

Popular Hadoop Courses and Certifications


  • I

    IBM

    Introduction to Big Data with Spark and Hadoop

    4.4 stars, 485 reviews, Intermediate, Course

    ★ 4.4 (485) · Intermediate · Course

  • 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, Linux Commands, Linux, File Systems, Data Management, Command-Line Interface, Relational Databases, Software Installation, Java, Debugging, Java Programming, C++ (Programming Language)

    Intermediate · Specialization · 1 - 4 Weeks

  • 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, Databases, SQL, Query Languages, File I/O, Java, Java Programming, Distributed Computing, Scripting Languages, Performance Tuning, Program Development

    4.6 stars, 11 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (11) · Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Big Data Foundations with Hadoop and Spark

    Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, AWS Kinesis, Apache Hive, Data Pipelines, Big Data, Applied Machine Learning, Data Processing, Systems Design, System Design and Implementation, Apache Cassandra, Java, IntelliJ IDEA, Java Programming, Application Deployment

    4.7 stars, 20 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.7 (20) · Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, Apache Hadoop, Big Data, Data Quality, Data Integration, DevOps, SQL, Python Programming

    3.9 stars, 71 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 3.9 (71) · Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, Databases, Database Management, Extract, Transform, Load, Apache Hive, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Database Theory, Generative AI, IBM Cloud, Data Pipelines, Model Evaluation, Database Architecture and Administration, Kubernetes, Supervised Learning

    4.5 stars, 850 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.5 (850) · Beginner · Specialization · 3 - 6 Months

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  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Dashboard Creation, Real Time Data, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Lakes, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Tensorflow, Data Warehousing, Prompt Engineering

    4.6 stars, 5K reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.6 (5K) · Intermediate · Professional Certificate · 3 - 6 Months

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  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, File Systems, Data Processing, Performance Tuning, System Configuration, Python Programming

    4 stars, 3.3K reviews, Mixed, Course, 1 - 3 Months

    ★ 4 (3.3K) · Mixed · Course · 1 - 3 Months

  • 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, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    IBM Data Engineering

    Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Bash (Scripting Language), Package and Software Management, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science

    4.6 stars, 63K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.6 (63K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Trending right now
    Trending right now
  • 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, PySpark, Cloud Infrastructure, Cloud Development, Cloud Applications, Cloud Platforms, Data Pipelines, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture

    4.8 stars, 12 reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.8 (12) · Intermediate · Specialization · 1 - 3 Months

    Category: Build toward a degree
    Build toward a degree
1234…13

Best Hadoop courses from IBM

Top-rated Hadoop courses offered by IBM on Coursera.

  1. 1
    Introduction to Big Data with Spark and Hadoop
    IBMIntermediateIBM
  2. 2
    NoSQL, Big Data, and Spark Foundations
    IBMBeginner3 - 6 Months4.5(850)IBM
  3. 3
    IBM Data Engineering
    IBMBeginner3 - 6 Months4.6(62,756)IBM

Best Hadoop certificate programs

Earn a certificate in Hadoop from top universities and companies.

  1. 1
    Hadoop and Spark Fundamentals
    PearsonIntermediate1 - 4 Weeks5.0(3)Specialization
  2. 2
    Big Data Processing Using Hadoop
    Johns Hopkins UniversityIntermediate3 - 6 Months4.6(11)Specialization
  3. 3
    Big Data Foundations with Hadoop and Spark
    PacktIntermediate3 - 6 Months4.7(20)Specialization

Skills you can learn in Software Development

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Google (25)
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Problem Solving (14)
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List & Label (10)

Frequently Asked Questions about Hadoop

Hadoop is an open-source framework designed for distributed storage and processing of large data sets across clusters of computers. It is important because it enables organizations to handle vast amounts of data efficiently, making it a cornerstone of big data analytics. By using Hadoop, businesses can gain insights from their data, improve decision-making, and drive innovation.‎

With skills in Hadoop, you can pursue various job roles, including Data Engineer, Big Data Developer, Data Analyst, and Hadoop Administrator. These positions are in high demand as companies increasingly rely on data-driven strategies. Professionals skilled in Hadoop can help organizations manage and analyze large data sets, making them valuable assets in the tech industry.‎

To learn Hadoop effectively, you should focus on several key skills. These include understanding the Hadoop ecosystem, proficiency in programming languages like Java or Python, knowledge of data processing frameworks such as MapReduce, and familiarity with tools like Hive and Pig. Additionally, skills in data warehousing and ETL (Extract, Transform, Load) processes are beneficial.‎

Some of the best online courses for learning Hadoop include the Big Data Processing Using Hadoop Specialization and the Hadoop Platform and Application Framework. These courses provide comprehensive training on Hadoop's capabilities and applications, helping you build a solid foundation in big data.‎

Yes. You can start learning hadoop on Coursera for free in two ways:

  1. Preview the first module of many hadoop courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in hadoop, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Hadoop, begin by exploring introductory courses that cover the basics of the framework and its ecosystem. Engage with hands-on projects to apply your knowledge practically. Utilize online resources, such as tutorials and forums, to enhance your understanding. Consistent practice and real-world application will reinforce your skills and confidence in using Hadoop.‎

Hadoop courses typically cover a range of topics, including the architecture of Hadoop, data storage and processing, MapReduce programming, and the use of related tools like Hive and Pig. You may also learn about data ingestion, data analysis techniques, and best practices for managing Hadoop clusters, providing a well-rounded understanding of the framework.‎

For training and upskilling employees in Hadoop, consider courses like the Big Data Foundations with Hadoop and Spark Specialization and the Data Engineering: Pipelines, ETL, Hadoop. These programs are designed to equip teams with the necessary skills to leverage Hadoop effectively in their roles.‎

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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