Hands On Presto Mastery - Learn by doing!

Course Instructor: CurvedArrow LLC
Course Title: Hands On Presto Mastery - Learn by Doing!

🚀 Course Headline: Create an end to end Presto based pipeline and query data in HDFS, MySQL & Kafka via the Presto CLI, R Studio & Tableau!

Welcome to "Hands On Presto Mastery" – Learn by Doing! 🎉

A heartfelt thank you for your presence here. Your engagement with this course is what makes it a reality and a valuable tool in your journey towards mastering Big Data analytics.

🌟 Why Presto? Presto, a distributed SQL query engine, has been making waves in the Big Data ecosystem. Known for its ability to handle petabytes of data with low latency, Presto is a game-changer for real-time analytics and data processing. This course is designed to equip you with the knowledge and hands-on experience to leverage Presto effectively.

Course Overview:

In this comprehensive course, we will embark on a journey through the various roles one might undertake when tackling a Big Data challenge:

🎓 Product Manager: We'll begin by defining a real-world scenario and identifying the user segments and their pain points.

🏗️ Architect: With an understanding of the challenges at hand, we'll design a Presto-based solution tailored to address these issues.

🛠️ Engineer: We'll then dive into the practical aspects - installing and setting up Presto, understanding its architecture (coordinator, worker nodes, connectors, etc.), and integrating it with the broader Big Data ecosystem.

What You Will Learn:

✅ Setting Up Presto: Get hands-on experience with installing and configuring Presto, the coordinator, and workers.

✅ Integration with Other Ecosystems:

• Connect with data sources like MySQL DB, Kafka, and HDFS.
• Learn how to use clients such as Presto CLI, RStudio, and Tableau to visualize your data.

🔍 Data Querying and Analysis:

• Execute queries across multiple data sources within a single operation.
• Analyze results in real-time using the tools of your choice.

Course Breakdown:

1. The Product Perspective:

   • Identifying user segments and their pain points.

2. The Architect's Role:

   • Designing a Presto-based solution to meet specific data challenges.

3. The Engineer's Task:

   • Installing and configuring Presto.
   • Setting up data sources and clients for data visualization and interaction.

4. Bringing It All Together:

   • Demonstrating the complete solution and showcasing how to query multiple data sources simultaneously.

By the end of this course, you will:

🎓 Have a solid understanding of Presto and its role in the Big Data ecosystem.

🚀 Be equipped with the skills to create an end-to-end Presto-based pipeline.

🔍 Be able to query data from HDFS, MySQL, and Kafka using the Presto CLI, RStudio, or Tableau.

🎉 Confidently tackle Big Data challenges and add a powerful skill to your resume.

Join us on this exciting journey through the world of Presto and Big Data analytics! Let's turn those data challenges into opportunities with "Hands On Presto Mastery" – Learn by Doing! 🌈