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.

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

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

Skills you'll gain: HTML and CSS, Web Design, UI Components, Web Analytics and SEO
Beginner · Course · 1 - 4 Weeks

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

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

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

Coursera
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Data Processing, Scalability, Performance Tuning
Beginner · Course · 1 - 4 Weeks

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

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
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, Database Management, System Monitoring, Serverless Computing
Intermediate · Course · 1 - 4 Weeks

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
Intermediate · Professional Certificate · 3 - 6 Months

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
Beginner · Course · 1 - 3 Months
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:
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.‎