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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


  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Pandas (Python Package), Google Cloud Platform, Data Transformation, SQL, Analytics

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms

    ★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    ★ 4.4 (318) · Intermediate · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • C

    Cloudera

    Foundations for Big Data Analysis with SQL

    Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, Database Management Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis, Unstructured Data

    ★ 4.7 (1.1K) · Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Elastic Stack Mastery with Elasticsearch & AWS

    Skills you'll gain: Cloud-Native Computing, Cloud Deployment, DevOps, CI/CD, Application Deployment, Devops Tools, Development Environment, Continuous Delivery, Cloud Applications, Amazon Elastic Compute Cloud, Real Time Data, Kibana, Query Languages, Data Modeling, Distributed Computing, SQL, Data Mapping, NoSQL, Event-Driven Programming, Relational Databases

    ★ 4.9 (18) · Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    ETL Processing on Google Cloud Using Dataflow and BigQuery

    Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages, Cloud Storage

    ★ 4.5 (14) · 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, Google Cloud Platform, Data Integration, Data Transformation, Data Wrangling, Data Analysis, Data Visualization, Data Management

    Beginner · Project · Less Than 2 Hours

  • K

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration

    Beginner · Course · 1 - 4 Weeks

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

  • Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Data Analysis Using Pyspark: Coursera
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Foundations for Big Data Analysis with SQL: Cloudera
  • Elastic Stack Mastery with Elasticsearch & AWS: EDUCBA
  • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
  • Building Realtime Pipelines in Cloud Data Fusion: Google Cloud

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