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    • Apache Storm

    Apache Storm Courses Online

    Explore Apache Storm for real-time data streaming and processing. Learn to build and manage complex event processing systems.

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    Explore the Apache Storm Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      O

      Oracle

      Oracle Cloud and AI

      Skills you'll gain: Oracle Cloud, Generative AI, Large Language Modeling, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Cloud Services, Cloud Solutions, Cloud Computing, Cloud Infrastructure, Deep Learning, Prompt Engineering, Artificial Neural Networks, Natural Language Processing, Enterprise Resource Planning, Application Deployment, Python Programming, Supply Chain Management, Customer Relationship Management (CRM) Software, Human Capital

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 1 - 3 Months

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

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, 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
      ·
      59K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      415 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      447 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Apache Kafka

      Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Apache Spark, Data Pipelines, Data Processing, Big Data, Continuous Monitoring, System Configuration, Microservices, Security Controls, Configuration Management, Data Integration, Middleware, Distributed Computing, Data Architecture, Restful API, Authentications, Scalability

      3.9
      Rating, 3.9 out of 5 stars
      ·
      34 reviews

      Beginner · Specialization · 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
      ·
      777 reviews

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Java in Machine Learning

      Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Deep Learning, Java Programming, Java, Applied Machine Learning, Jenkins, Spring Framework, Image Analysis, Application Deployment, Big Data, Statistical Analysis, Scalability, Decision Tree Learning, Machine Learning, Spring Boot, Regression Analysis, Reinforcement Learning, Natural Language Processing, Debugging

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Store, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Transformation, Data Visualization Software, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 4 Weeks

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

      IBM

      IBM Relational Database Administrator

      Skills you'll gain: Data Engineering, Data Warehousing, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, Jupyter, Generative AI, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Real-Time Operating Systems, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Data Mining, Delegation Skills, Failure Analysis, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Statistical Modeling, Unsupervised Learning, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    1234…29

    In summary, here are 10 of our most popular apache storm courses

    • Oracle Cloud and AI: Oracle
    • IBM Data Engineering: IBM
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Apache Kafka: LearnKartS
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Java in Machine Learning: Board Infinity
    • Introduction to Data Analytics: IBM
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Machine Learning with Apache Spark: IBM

    Skills you can learn in Support And Operations

    Google (8)
    Linux (6)
    Software Testing (5)
    Internet (4)
    Problem Solving (4)
    Application Programming Interfaces (3)
    Cybersecurity (3)
    Software Project Management (3)
    Web (3)
    Bash (unix Shell) (2)
    Computer Program (2)
    List & Label (2)

    Frequently Asked Questions about Apache Storm

    Apache Storm is an open-source, distributed real-time computation system for processing and analyzing large streams of data. It allows users to reliably process unbounded streams of data in real-time, enabling various use cases such as real-time analytics, machine learning, and continuous computation. With its robust fault tolerance and scalable architecture, Apache Storm makes it easy to process data in parallel across a cluster of machines, ensuring high throughput and low latency. It provides a programming model that supports a wide range of languages, making it accessible to developers from different backgrounds. Apache Storm is widely used in industries such as finance, telecommunications, and e-commerce for stream processing and real-time data analysis.‎

    To work with Apache Storm, you need to learn the following skills:

    1. Programming: A good understanding of Java is essential for working with Apache Storm as it is primarily written in Java. Knowledge of other programming languages like Python or Scala can also be beneficial.

    2. Distributed Systems: Apache Storm is a distributed real-time processing framework. Familiarity with distributed systems concepts such as parallelism, fault-tolerance, and data partitioning is important.

    3. Stream Processing: Apache Storm is designed for stream processing, so a solid understanding of stream processing concepts like event-driven architecture, data streams, and stream processing frameworks will be helpful.

    4. Message Queueing: Apache Storm integrates well with message queueing systems like Apache Kafka, RabbitMQ, or Apache Pulsar. Gaining knowledge and experience in using these systems will enhance your understanding of Apache Storm.

    5. Data Processing: Apache Storm operates on large volumes of streaming data. Having knowledge of data processing concepts and technologies like Apache Hadoop, Spark, or Flink can prove beneficial.

    6. Debugging and Troubleshooting: Being able to debug and troubleshoot issues in real-time streaming data pipelines is an important skill to have when working with Apache Storm. Familiarity with tools like log analysis, monitoring, and performance tuning is useful.

    It's worth noting that while the above skills are essential for working with Apache Storm, it's always beneficial to have a good foundation in computer science fundamentals, such as data structures, algorithms, and networking.‎

    With Apache Storm skills, you can pursue various job opportunities in the field of big data and real-time data processing. Some potential job roles include:

    1. Big Data Engineer: As a Big Data Engineer, you will leverage your Apache Storm skills to develop and maintain real-time data processing systems. You will be responsible for designing, building, and optimizing the infrastructure required for handling massive volumes of data.

    2. Real-Time Data Analyst: With Apache Storm skills, you can work as a Real-Time Data Analyst, where you will analyze and process real-time data streams. You will develop algorithms and models to extract valuable insights from the data and make informed decisions in real-time.

    3. Data Scientist: Data Scientists with Apache Storm skills can utilize real-time data processing to identify patterns, create predictive models, and derive actionable insights. You will work with large and complex datasets to solve business problems across various domains.

    4. Solutions Architect: Apache Storm skills can be valuable for Solutions Architects responsible for designing and implementing scalable and robust big data solutions. You will work closely with clients to understand their requirements and provide recommendations for integrating Apache Storm into their data processing pipelines.

    5. Streaming Data Engineer: As a Streaming Data Engineer, you will develop and maintain the infrastructure required for ingesting, processing, and analyzing real-time data. Your Apache Storm expertise will be crucial for building efficient and fault-tolerant data pipelines.

    6. Research Scientist: Research Scientists with Apache Storm skills can contribute to advancing real-time data processing techniques and algorithms. You can work in academia, research institutions, or technology companies, developing innovative solutions for streaming data analysis and processing.

    These are just a few examples, and the demand for professionals with Apache Storm skills extends to various industries that deal with real-time data analysis, such as finance, e-commerce, healthcare, and telecommunications.‎

    People who are interested in real-time data processing and have a strong background in programming and data analytics are best suited for studying Apache Storm. This technology is commonly used in industries such as finance, telecommunications, and e-commerce, where there is a need to process large volumes of data in real-time. Additionally, individuals who are comfortable working with distributed systems and have experience with Java or other programming languages will find studying Apache Storm more accessible.‎

    Here are some topics that you can study that are related to Apache Storm:

    1. Introduction to Apache Storm: Learn the basics of Apache Storm, including its architecture, components, and use cases.

    2. Real-time stream processing: Explore the concepts and techniques used in real-time stream processing, with a focus on Apache Storm.

    3. Apache Storm installation and setup: Discover how to install and set up Apache Storm on your local machine or a cluster environment.

    4. Storm topologies: Understand the concept of Storm topologies, which are the directed acyclic graphs used to process real-time data streams.

    5. Spouts and Bolts: Dive into the role and functionality of Spouts and Bolts in Apache Storm, which are the primary building blocks of Storm topologies.

    6. Message reliability and fault tolerance in Apache Storm: Learn how Apache Storm handles message reliability and fault tolerance to ensure data integrity.

    7. Apache Storm integration with other tools: Explore how Apache Storm can be integrated with other tools like Apache Kafka, Apache Hadoop, or Apache Spark to enhance data processing capabilities.

    8. Tuning and optimization in Apache Storm: Discover techniques for tuning and optimizing your Apache Storm cluster to achieve better performance and scalability.

    9. Monitoring and troubleshooting Apache Storm: Learn about the tools and techniques used to monitor and troubleshoot Apache Storm deployments.

    10. Advanced features and use cases of Apache Storm: Explore advanced topics like Trident, multi-language support, machine learning integration, and real-world use cases of Apache Storm.

    These topics will provide you with a comprehensive understanding of Apache Storm and equip you with the necessary skills to work with and leverage its capabilities effectively.‎

    Online Apache Storm courses offer a convenient and flexible way to enhance your knowledge or learn new Apache Storm is an open-source, distributed real-time computation system for processing and analyzing large streams of data. It allows users to reliably process unbounded streams of data in real-time, enabling various use cases such as real-time analytics, machine learning, and continuous computation. With its robust fault tolerance and scalable architecture, Apache Storm makes it easy to process data in parallel across a cluster of machines, ensuring high throughput and low latency. It provides a programming model that supports a wide range of languages, making it accessible to developers from different backgrounds. Apache Storm is widely used in industries such as finance, telecommunications, and e-commerce for stream processing and real-time data analysis. skills. Choose from a wide range of Apache Storm courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Apache Storm, 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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