Realtime Analytics with Apache Pinot and Apache Flink

🚀 Course Headline:

🔍 Understand How Realtime Analytics Can Be Done for a Real Industry Use Case With Apache Pinot and Apache Flink

Course Instructor: Aditya S

Course Description:

In today's fast-paced business environment, the ability to Extract Actionable Insights from data in a Realtime manner is crucial. Real-time Analytics can act as a differentiating factor between various companies. It's not just about having the skill set now but also being prepared for the future where this expertise will only become more essential.

🌟 Why Take This Course?

This course meticulously covers how you can perform Realtime Analytics using powerful tools like Apache Pinot and Apache Flink, all through the lens of a real industry use case – that of an Online Cab Service Company. By the end, you'll have not just theoretical knowledge but also hands-on experience to back it up.

Course Highlights:

• Understanding the Necessity: Learn why Realtime Analytics is essential in today's data-driven world.
• Real-world Application: Discover where and how Realtime Analytics fits into the business model of an Online Cab Service Company.
• Comprehensive Architecture: Dive into the architecture of a Realtime Analytics System, with a focus on integration and workflow.

Industry Tools & Techniques:

• Apache Kafka: Understand its role as the backbone for data streaming and how it integrates with other components in the system.
• Apache Flink Fundamentals: Get to grips with the basics of Apache Flink, including Dynamic Tables, Versioned Tables, Checkpoints, and Watermarks.
• Complex Joins & Data Ingestion: Learn about different types of joins in Apache Flink like Regular and Temporal Joins, and how to handle realtime data ingestion and upserts with Apache Pinot.
• Analytical Queries & Dashboards: Master running analytical queries in Apache Pinot and creating interactive dashboards using Apache Superset.

Hands-on Learning Experience:

This course is packed with Hands On Sessions that provide a practical, step-by-step guide to implementing realtime analytics systems. You'll tackle each concept through exercises and projects that directly address the business use case.

Course Structure Breakdown:

1. Why Realtime Analytics is Needed.
2. Real-world Application for Online Cab Service Company.
3. Designing a Realtime Analytics System Architecture.
4. Introduction to Apache Kafka and its role in Realtime Analytics Systems.
5. Apache Flink Basics: Getting Started with Core Concepts.
   • Dynamic Tables & Versioned Tables
6. Understanding Concepts like Checkpoints and Watermarks in Apache Flink.
7. Complex Joins in Apache Flink: Regular vs Temporal Joins.
8. Realtime Data Ingestion and Updates with Apache Pinot.
9. Running Analytical Queries in Apache Pinot.
10. Creating Dashboards for Realtime Data with Apache Superset.

By the end of this course, you will have a fully functional Realtime Analytics System set up on your local system, ready to tackle the demands of an Online Cab Service Company – or any other real-world industry application. 🚕💡

Join us and become a master in Realtime Analytics with Apache Pinot and Apache Flink! Let's transform data into decisions that matter. 🚀

Enroll Now to embark on your journey to Realtime Analytics Mastery!