This hands-on guide to Apache Zeppelin acts as a unified notebook environment where you can run Spark jobs, write SQL queries, and build ETL pipelines all in one place. 

Instead of jumping between disconnected tools, you learn to integrate Apache Spark, Hive, and Kafka into a single, collaborative workspace.

This Course Offers

• Interactive Visualizations: Build dynamic tables and pivot charts that bring your big data stories to life directly within the notebook.
• Multi-Language Support: Work seamlessly with various interpreters like Scala, Python, SQL, and Shell to process data using the best tool for the job.
• Real-World ETL Pipelines: Master the creation of modular pipelines with parameterization and documentation to move data from HDFS or S3 into actionable insights.
• Capstone Projects: Apply your skills to professional scenarios, including Telecom Customer Churn Prediction and a Real-Time Log Analytics Dashboard.

Why We Love This Course

1. Job-Ready Focus: You can tell this course is built for practitioners because it moves past theory and into real-world use cases using Kafka and Spark MLlib.
2. Flexible Environment Setup: We appreciate the guided instructions for installing Zeppelin on Ubuntu and Windows via Docker, ensuring you can get your lab running quickly.
3. Comprehensive Integration: It is clear the curriculum prioritizes the Big Data ecosystem, teaching you how to connect to external sources like JDBC, MySQL, and Hive.
4. Hands-On Learning: The approach feels authentic because every lesson is supported by practical examples and real datasets rather than just slides.

• Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst
• Data Scientists & Analysts seeking an intuitive tool to explore and visualize data effectively.
• Big Data Professionals looking to enhance their analytics capabilities with real-time, interactive notebooks.
• Business Intelligence Teams aiming to simplify collaboration and accelerate decision-making with visually impactful dashboards.

• Basics of Data Analytics
• Big data basics will be added advantage
• Basics on SQL queries
• Basics on different data visualization