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  • Apache Storm

Apache Storm Courses

Apache Storm courses can help you learn stream processing, real-time analytics, fault tolerance, and distributed computing. You can build skills in deploying and managing complex data pipelines, optimizing performance, and integrating with various data sources. Many courses introduce tools like Apache Kafka for message brokering, Nimbus for cluster management, and Storm UI for monitoring, demonstrating how these tools facilitate efficient data processing and enhance application responsiveness.


Popular Apache Storm Courses and Certifications


  • Status: New
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    EDUCBA

    Apache & Tomcat Web Application Deployment Projects

    Skills you'll gain: Server Side, Application Deployment, Apache Tomcat, Apache, Web Design, Front-End Web Development, PHP (Scripting Language), Application Servers, User Interface and User Experience (UI/UX) Design, Full-Stack Web Development, HTML and CSS, Web Development, UI Components, Web Servers, Email Automation, Usability, Development Testing, Interactive Design, Java Platform Enterprise Edition (J2EE), Web Analytics and SEO

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    LearnKartS

    Kafka Integration with Storm, Spark, Flume, and Security

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

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Create & Deploy Company Websites Using Apache & PHP

    Skills you'll gain: HTML and CSS, Web Design, UI Components, Web Analytics and SEO

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Apache Airflow Best Practices

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, Continuous Deployment, CI/CD, Devops Tools, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning, System Monitoring

    Intermediate · Course · 3 - 6 Months

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    Whizlabs

    Exam Prep DP-700: Microsoft Fabric Data Engineer Associate

    Skills you'll gain: Azure Synapse Analytics, Performance Tuning, Microsoft Azure, System Monitoring, Data Engineering, Transact-SQL, Star Schema, Power BI, PySpark, Data Cleansing, Data Analysis Expressions (DAX), Apache Spark, Data Warehousing, Analytics, Data Modeling, Data Analysis, SQL, Azure Active Directory, Advanced Analytics, Microsoft Copilot

    Intermediate · Specialization · 1 - 3 Months

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    EDUCBA

    Apache Avro & Kafka Data Engineering Projects

    Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Apache Hadoop, Scala Programming, Spring Boot, Development Environment, Apache, JSON, Data Processing, Information Architecture, Live Streaming, Data Transformation, Java, Restful API, Performance Tuning, Software Architecture, Data Validation, System Configuration

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
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    Coursera

    Apache Kafka - An Introduction

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

    3.5
    Rating, 3.5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: New
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    Coursera

    Level Up: Java-Powered Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
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    822 reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Build Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, Database Management, System Monitoring, Serverless Computing

    4.5
    Rating, 4.5 out of 5 stars
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    1.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Introduction to Data Analytics

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

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

1234…38

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

  • Apache & Tomcat Web Application Deployment Projects: EDUCBA
  • Kafka Integration with Storm, Spark, Flume, and Security: LearnKartS
  • Create & Deploy Company Websites Using Apache & PHP: EDUCBA
  • Apache Airflow Best Practices: Packt
  • Exam Prep DP-700: Microsoft Fabric Data Engineer Associate: Whizlabs
  • Apache Avro & Kafka Data Engineering Projects: EDUCBA
  • Apache Kafka - An Introduction: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Build Batch Data Pipelines on Google 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 a distributed real-time computation system designed to process large streams of data quickly and efficiently. It is important because it enables organizations to handle real-time analytics, machine learning, and data processing tasks that require immediate insights. With its ability to process millions of data points per second, Apache Storm is crucial for businesses that rely on timely data for decision-making, such as in finance, telecommunications, and social media.‎

Jobs related to Apache Storm typically include roles such as Data Engineer, Big Data Developer, and Real-Time Data Analyst. These positions often require expertise in managing and processing large datasets, as well as experience with real-time data processing frameworks. Companies looking for professionals skilled in Apache Storm value candidates who can design and implement systems that efficiently process data streams, making these roles vital in data-driven industries.‎

To learn Apache Storm, you should focus on developing skills in distributed computing, stream processing, and data integration. Familiarity with programming languages such as Java or Scala is essential, as these are commonly used with Storm. Additionally, understanding related technologies like Apache Kafka for data streaming and Apache Spark for batch processing can enhance your capabilities in real-time data processing.‎

Some of the best online courses for learning Apache Storm include specialized programs that cover its integration with other technologies. For instance, the Kafka Integration with Storm, Spark, Flume, and Security course provides insights into how Storm works with Kafka and Spark, which are essential for handling real-time data streams effectively.‎

Yes. You can start learning apache storm on Coursera for free in two ways:

  1. Preview the first module of many apache storm courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in apache storm, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Apache Storm, start by exploring introductory courses that cover the basics of stream processing and distributed systems. Engage in hands-on projects to apply your knowledge practically. Utilize online resources, documentation, and community forums to deepen your understanding. Consistent practice and real-world application will help solidify your skills in Apache Storm.‎

Topics typically covered in Apache Storm courses include the architecture of Storm, how to set up and configure a Storm cluster, and the development of real-time applications. Courses often explore integration with other big data tools like Apache Kafka and Spark, as well as best practices for managing data streams and ensuring fault tolerance in distributed systems.‎

For training and upskilling employees in Apache Storm, courses that focus on practical applications and integration with other technologies are highly beneficial. Programs like the Apache Kafka Specialization can provide a comprehensive understanding of how Storm interacts with Kafka, enhancing the team's ability to work with real-time data effectively.‎

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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