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    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: Free Trial
      Free Trial
      I

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, Interactive Data Visualization, Databases, Stored Procedure, Relational Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Classification And Regression Tree (CART), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      546 reviews

      Intermediate · Professional Certificate · 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
      ·
      99 reviews

      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, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • E

      Edureka

      Introduction to PySpark

      Skills you'll gain: PySpark, Apache Spark, Distributed Computing, Big Data, Apache Hadoop, Data Processing, Data Manipulation, Exploratory Data Analysis, Python Programming

      3.7
      Rating, 3.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      179 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      416 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Quality, Descriptive Statistics, Data Lakes, A/B Testing, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Pipelines, Databricks, JSON, Statistical Analysis, Database Design, Query Languages, Complex Problem Solving

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Building Scalable Java Microservices with Spring Boot and Spring Cloud

      Skills you'll gain: Microservices, Application Deployment, Google Cloud Platform, Cloud Applications, Spring Boot, Kubernetes, Java, Software Architecture, Data Migration, Cloud Services, Application Performance Management, Application Programming Interface (API), Databases

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Fundamentals

      Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Relational Databases, Data Store, SQL, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Node.JS, Image Analysis, Data Architecture, Data Import/Export, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Vertex AI Search for Retail

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Dashboard, Cloud Infrastructure, Identity and Access Management, Big Data, Data Visualization Software, Data Integration, Cloud Security, Performance Tuning, Applied Machine Learning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Data Warehousing, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    1234…28

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

    • BI Foundations with SQL, ETL and Data Warehousing: IBM
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Machine Learning with Apache Spark: IBM
    • IBM Data Architecture: IBM
    • Introduction to PySpark: Edureka
    • Large Language Model Operations (LLMOps): Duke University
    • Data Analysis and Visualization Foundations: IBM
    • Sustainable Cities: Johns Hopkins University
    • Learn SQL Basics for Data Science: University of California, Davis
    • Building Scalable Java Microservices with Spring Boot and Spring Cloud: Google Cloud

    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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