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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

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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

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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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    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

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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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    LearnKartS

    Apache Kafka

    Skills you'll gain: Apache Kafka

    3.9
    Rating, 3.9 out of 5 stars
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    47 reviews

    Beginner · Specialization · 1 - 3 Months

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    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, Data Manipulation, Apache Spark, PySpark, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Processing, Data Governance, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

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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

  • Next level skills. New Year savings.

    Save on Coursera Plus
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    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

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    Packt

    Data Engineering on AWS - The Complete Training

    Skills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Apache Hive, Data Visualization Software, Cloud Storage, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, Database Architecture and Administration, AWS Identity and Access Management (IAM)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    BI Foundations with SQL, ETL and Data Warehousing

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

    4.6
    Rating, 4.6 out of 5 stars
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    24K reviews

    Beginner · Specialization · 3 - 6 Months

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    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, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Apache Maven Essentials for Build Automation

    Skills you'll gain: Apache Maven, Build Tools, Software Configuration Management, Continuous Integration, Integrated Development Environments, Java Programming, Dependency Analysis, Automation, Java, Product Lifecycle Management, Software Versioning

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

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

  • Apache & Tomcat Web Application Deployment Projects: EDUCBA
  • Apache Airflow Best Practices: Packt
  • Data Pipeline Engineering & Analytics: Coursera
  • Exam Prep DP-700: Microsoft Fabric Data Engineer Associate: Whizlabs
  • Apache Kafka: LearnKartS
  • Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
  • Level Up: Java-Powered Machine Learning: Coursera
  • LLM Optimization & Evaluation: Coursera
  • Data Engineering on AWS - The Complete Training: Packt
  • BI Foundations with SQL, ETL and Data Warehousing: 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 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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