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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.

More to explore:

Popular Apache Storm Courses and Certifications

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

    Coursera

    Data Pipeline Engineering & Analytics

    Skills you'll gain: Dashboard, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Process Mapping, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming

    Intermediate · Specialization · 3 - 6 Months

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

    IBM

    IBM Data Engineering

    Skills you'll gain: Extract, Transform, Load, NoSQL, Apache Spark, Data Warehousing, Web Scraping, Database Administration, Apache Hadoop, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, IBM Cognos Analytics, Database Management, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Apache Kafka

    Skills you'll gain: Apache Kafka

    3.9
    Rating, 3.9 out of 5 stars
    ·
    49 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    E

    EDUCBA

    Apply and Analyze Sqoop for Hadoop ETL

    Skills you'll gain: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Import/Export, Data Pipelines, Big Data, Data Integration, MySQL, Data Processing, Data Migration, SQL, Analytics, Database Development, Data Manipulation, Database Management, Relational Databases, Data Architecture, Data Quality, Software Installation, Scalability

    Beginner · Specialization · 1 - 3 Months

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

    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

  • Status: Free Trial
    Free Trial
    I

    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
    ·
    830 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

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

    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Architecture

    Skills you'll gain: NoSQL, Data Warehousing, Database Administration, SQL, Apache Hadoop, Database Design, Relational Databases, Data Security, Linux Commands, Data Migration, Data Pipelines, Data Governance, Database Management, Apache Kafka, Apache Airflow, Apache Spark, Bash (Scripting Language), Extract, Transform, Load, Database Architecture and Administration, Data Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    Coursera

    Real-Time, Real Fast: Kafka & Spark for Data Engineers

    Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, Power BI, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Scalability, Data Processing, Data Governance, Event-Driven Programming, System Monitoring, Docker (Software)

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Apache Maven Cookbook

    Skills you'll gain: Apache Maven, Build Tools, Dependency Analysis, Integrated Development Environments, Jenkins, Software Configuration Management, JUnit, Software Installation, Code Coverage, Code Review, Software Versioning, Shell Script, Project Management, Software Documentation, Automation, Systems Integration, Debugging

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Optimize Spark Performance: Analyze & Accelerate

    Skills you'll gain: Apache Spark, PySpark, Performance Tuning, Data Pipelines, Data Processing, Systems Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

1234…42

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

  • Data Pipeline Engineering & Analytics: Coursera
  • IBM Data Engineering: IBM
  • Apache Kafka: LearnKartS
  • Apply and Analyze Sqoop for Hadoop ETL: EDUCBA
  • Apache Avro & Kafka Data Engineering Projects: EDUCBA
  • NoSQL, Big Data, and Spark Foundations: IBM
  • LLM Optimization & Evaluation: Coursera
  • IBM Data Architecture: IBM
  • Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
  • Apache Maven Cookbook: Packt

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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