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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
      E

      EDUCBA

      Apache Spark: Apply & Evaluate Big Data Workflows

      Skills you'll gain: Apache Spark, PySpark, Big Data, Data Pipelines, Data Processing, Distributed Computing, Scala Programming, JSON, Data Manipulation, Data Transformation, Performance Tuning

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      E

      EDUCBA

      Apache Spark with Scala: Master Data Building & Analysis

      Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Apache Maven, Real Time Data, Data Processing, Scalability, Data Structures, Object Oriented Programming (OOP), Systems Integration

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      E

      EDUCBA

      Apache Spark: Design & Execute ETL Pipelines Hands-On

      Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, PySpark, Apache Hadoop, Data Transformation, MySQL, Data Manipulation, Java Platform Enterprise Edition (J2EE), Data Store, Data Import/Export, Development Environment, Software Installation, System Configuration

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Apache Kafka - An Introduction

      Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Data Processing, System Monitoring, Scalability, Performance Tuning, Configuration Management

      3.4
      Rating, 3.4 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Hadoop and Spark Fundamentals

      Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Data Pipelines, Data Processing, Data Import/Export, Data Integration, Linux Commands, Data Mapping, Linux, File Systems, Text Mining, Data Management, Distributed Computing, Relational Databases, Java, C++ (Programming Language)

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Applied Python: Web Dev, Machine Learning & Cryptography

      Skills you'll gain: Cryptography, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling, Back-End Web Development, Supervised Learning, Text Mining

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Linux Networking - Basics and Beyond

      Skills you'll gain: Apache, Network Troubleshooting, OSI Models, File Transfer Protocol (FTP), Linux Administration, Linux Servers, TCP/IP, Network Protocols, Linux Commands, Linux, Dynamic Host Configuration Protocol (DHCP), Unix, General Networking, Virtual Machines, Web Servers, Remote Access Systems, Virtualization, Network Administration, Computer Networking, Network Analysis

      Intermediate · Specialization · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Data Science

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

      Earn a degree

      Degree · 1 - 4 Years

    • 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
      ·
      451 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

      Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Apache Spark, SQL, Generative AI, Prompt Engineering, Data Governance, Quality Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      75 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Kafka Integration with Storm, Spark, Flume, and Security

      Skills you'll gain: Apache Kafka, Apache Spark, Data Pipelines, Distributed Computing, Real Time Data, Security Controls, Configuration Management, Data Processing, Performance Tuning, Encryption, Authorization (Computing), Authentications

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Machine Learning, Data Science and Generative AI with Python

      Skills you'll gain: Apache Spark, Generative AI, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Deep Learning, ChatGPT, OpenAI, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Pandas (Python Package), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning

      Intermediate · Specialization · 3 - 6 Months

    1234…31

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

    • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
    • Apache Spark with Scala: Master Data Building & Analysis: EDUCBA
    • Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA
    • Apache Kafka - An Introduction: Coursera Instructor Network
    • Hadoop and Spark Fundamentals: Pearson
    • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
    • Linux Networking - Basics and Beyond: Pearson
    • Master of Science in Data Science: University of Colorado Boulder
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera Instructor Network

    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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