Hands on big data streaming with Apache Storm
Why take this course?
🌟 Course Headline:
Master Apache Storm for Real-Time Big Data Processing: A Comprehensive Developer Course with Hands-On Practice
🚀 Course Title: Hands On Big Data Streaming with Apache Storm by Ganapathi Devappa
📘 Course Description:
Welcome to the world of real-time big data processing with Apache Storm! In this comprehensive and interactive course, you will delve into the powerful capabilities of Apache Storm, learning to harness its full potential for streaming data applications. Taught by the knowledgeable Ganapathi Devappa, this course is designed to take you from a beginner to an expert in processing and analyzing large volumes of data in real-time using Java and other associated technologies.
Why Apache Storm?
- Real-Time Processing: Understand how Apache Storm outperforms traditional batch systems for real-time analytics.
- Scalability: Learn how to build a system that scales effortlessly across many nodes with high fault tolerance.
- Ease of Use and Deployment: Get familiar with the user-friendly APIs and deploy your applications easily on multiple clusters.
What You'll Learn:
- 🧠 Apache Storm Fundamentals: Get a solid understanding of core concepts, architecture, and components of Apache Storm.
- ⚙️ Java Programming with Apache Storm: Write robust and efficient Apache Storm topology programs in Java.
- 🔄 Integration with Data Sources: Connect to various data sources such as Kafka and Twitter to fetch real-time streaming data.
- 🛠️ Stateful Processing: Implement stateful operations to track and analyze changing trends in real-time data streams.
- 🗃️ Data Storage Solutions: Save processed data to tables in Cassandra or files in Hadoop HDFS for further analysis or reporting.
Course Structure:
- Introduction to Apache Storm: A walkthrough of the architecture and components that make up a Storm topology.
- Developing with Apache Storm: Step-by-step guidance on writing your first Apache Storm program.
- Interfacing Data Sources: Techniques for interfacing with popular data sources like Kafka and Twitter to gather real-time streaming data.
- Processing Streaming Data: Master the art of stateful processing, windowing operations, and other techniques to extract meaningful insights from large datasets.
- Data Storage and Outputs: Learn how to persistently store processed data in Cassandra or HDFS for future use.
- Best Practices: Gain insights into best practices for deployment, monitoring, and maintaining Apache Storm clusters.
Hands-On Practice:
- 👨💻 Interactive Labs: Engage with over 10 hands-on labs that provide practical experience in setting up, configuring, and running Apache Storm.
- 🚀 Real-World Scenarios: Tackle real-world problems using Apache Storm to understand its practical applications.
- 📈 Project Work: Apply your skills to a capstone project that will challenge you to create a complete, production-ready Apache Storm topology.
Who Should Take This Course:
- Aspiring Data Engineers and Developers who wish to gain expertise in real-time big data processing.
- Developers looking to expand their skill set with a powerful streaming data tool.
- Professionals dealing with high-volume data streams who want to leverage the capabilities of Apache Storm.
What's Included:
- Access to comprehensive video lessons and live coding sessions.
- Hands-on projects and exercises with step-by-step guidance.
- Downloadable resources, including code samples and reference materials.
- Community support from fellow learners and experts.
- A certificate of completion to showcase your new skills.
Join us in this journey to unlock the potential of big data streaming with Apache Storm! 🌩️
Enroll now and transform your approach to real-time data processing! 🖥️💡🚀
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