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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

    • R

      Red Hat

      Linux and Private Cloud Administration on IBM Power Systems

      Skills you'll gain: Private Cloud, Red Hat Enterprise Linux, Linux Administration, Linux, Package and Software Management, Linux Servers, Linux Commands, Command-Line Interface, IBM Cloud, User Accounts, Cloud Management, Virtual Machines, Infrastructure As A Service (IaaS), Open Source Technology, File Management, Unix Commands, Systems Administration, Cloud Infrastructure, Virtualization, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      227 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Software-Defined Networking, Data Store, NoSQL, Cloud Platforms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow

      Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Google Cloud Platform, Cloud Security, Performance Tuning, Data Security, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Data Storage Technologies, Unit Testing, Containerization, Disaster Recovery, Data Transformation, Jupyter, JSON

      4.1
      Rating, 4.1 out of 5 stars
      ·
      119 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Foundations

      Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Google Cloud Platform, Cloud Security, Data Processing, Data Security, Data Storage Technologies, Containerization

      4.2
      Rating, 4.2 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      438 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Sustainable Cities

      Skills you'll gain: Architectural Design, Building Codes, Community Development, Land Development, Public Works, Landscape Architecture, Transportation Operations, Civil Engineering, Environmental Engineering, Building Design, Economic Development, Land Management, Water Resources, Environment, Geographic Information Systems, Environment and Resource Management, Construction, Environmental Science, Environmental Issue, Pollution Prevention

      4.6
      Rating, 4.6 out of 5 stars
      ·
      413 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Deploying SAP on Google Cloud

      Skills you'll gain: Disaster Recovery, Data Management, Google Cloud Platform, Cloud Infrastructure, SAP Applications, Identity and Access Management, Cloud Computing, Cloud Security, Data Migration, Cloud Storage, Virtual Machines, General Networking, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Visualization, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      319 reviews

      Advanced · Specialization · 3 - 6 Months

    • L

      LearnKartS

      Apache Kafka

      Skills you'll gain: Apache Kafka, Real Time Data, System Monitoring, Performance Tuning, Data Pipelines, Apache Spark, Apache Hadoop, Apache, Big Data, Systems Architecture, Continuous Monitoring, Data Processing, Data Integration, Data Architecture, Middleware, Data Security, Distributed Computing, Scala Programming, Software Architecture, Restful API

      4
      Rating, 4 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Data Infrastructure, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      122 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • V

      Vanderbilt University

      Scalable Microservices for Developers

      Skills you'll gain: Microservices, Spring Boot, Spring Framework, IntelliJ IDEA, Java Programming, Restful API, Object Oriented Programming (OOP), Java, Application Deployment, Software Architecture, API Design, Integrated Development Environments, Scalability, Service Oriented Architecture, Web Applications, Software Testing, Unit Testing, Object-Relational Mapping, Distributed Computing, Computer Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      48 reviews

      Intermediate · Specialization · 1 - 3 Months

    1234…28

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

    • Linux and Private Cloud Administration on IBM Power Systems: Red Hat
    • Cloud Computing: University of Illinois Urbana-Champaign
    • Serverless Data Processing with Dataflow: Google Cloud
    • Serverless Data Processing with Dataflow: Foundations: Google Cloud
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Sustainable Cities: Johns Hopkins University
    • Deploying SAP on Google Cloud: Google Cloud
    • IBM AI Enterprise Workflow: IBM
    • Apache Kafka: LearnKartS
    • Data Engineering Capstone Project: 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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