Explore Big Data Visualization with Apache Zeppelin

Explore Big Data Visualization with this Free Udemy Course - Enroll now!

Are you diving into the vast realm of Big Data and seeking a robust tool that allows you to explore, analyze, and visualize your datasets? If so, Apache Zeppelin is the solution you’ve been looking for. This web-based notebook seamlessly integrates with a multitude of big data sources, enabling you to create interactive dashboards while harnessing the power of Apache Spark, Hadoop, Hive, and more.

In this hands-on course, tailored for both beginners and those with intermediate skills, you will learn how to install and configure Apache Zeppelin on your machine, whether you’re using Ubuntu or Windows via Docker. You’ll acquire the essential skills to build notebooks and leverage various interpreters like Scala and Python for data analysis. Dive into dynamic visualizations and gain practical experience with real-world big data workflows, including ETL processes and machine learning applications.

As you progress through the course, you will engage in captivating projects, including Telecom Customer Churn Prediction and a Real-Time Log Analytics Dashboard. By the end of your journey, you’ll not only have a solid grasp of Zeppelin’s features but also valuable experience applying these skills in live scenarios. This course is your complete guide to mastering Apache Zeppelin, paving the way for your success in the field of Big Data.

What you will learn:

  • Understand the core concepts, features, and architecture of Apache Zeppelin
  • Install and configure Zeppelin on Ubuntu and Windows (via Docker)
  • Create and manage Notebooks, Paragraphs, and Dynamic Forms for interactive data exploration
  • Use Markdown effectively to document and present insights within Zeppelin
  • Build rich visualizations (tables, bar charts, pie charts, line graphs, scatter plots, etc.) directly inside notebooks
  • Configure and work with multiple interpreters (Spark, Python, JDBC, Hive, Shell, etc.)
  • Run Apache Spark jobs (RDDs, DataFrames, SQL queries) inside Zeppelin notebooks
  • Load, clean, transform, and explore large datasets from HDFS, S3, JDBC, and MySQL
  • Build ETL pipelines in Zeppelin using Spark Scala and parameterized workflows
  • Integrate Zeppelin with Hive, Kafka, and other Big Data tools
  • Perform machine learning tasks in Zeppelin using Spark MLlib
  • Develop modular notebooks for better reusability and collaboration
  • Export notebooks and results in multiple formats (HTML, PDF, etc.)
  • Work on real-world capstone projects including:
  • Telecom Customer Churn Prediction using Spark MLlib in Zeppelin
  • Real-Time Log Analytics Dashboard using Kafka, Spark, MySQL, and Zeppelin visualizations

Course Content:

  • Sections: 10
  • Lectures: 80
  • Duration: 6h 46m

Requirements:

  • Basic understanding of programming concepts (Python or Scala knowledge is helpful, but not mandatory).
  • Familiarity with big data fundamentals (Hadoop, Spark, Hive, etc.) is useful, but not strictly required.
  • A computer with Windows, macOS, or Linux and at least 8 GB RAM for running Spark and Zeppelin smoothly.
  • Comfort with using the Linux command line will be beneficial, though guided instructions are included.
  • Enthusiasm to learn interactive big data visualization and analytics using Apache Zeppelin.
  • No prior experience with Apache Zeppelin is required — the course starts from the absolute basics and builds up to advanced integrations and projects.

Who is it for?

  • Data Engineers & Data Scientists who want to explore and visualize big data using Apache Zeppelin.
  • Big Data Developers looking to integrate Zeppelin with Spark, Hive, Kafka, and other big data ecosystems.
  • Database Engineers & Analysts interested in performing interactive SQL queries and creating dashboards.
  • Machine Learning Practitioners who want to leverage Zeppelin notebooks for building and visualizing ML models.
  • ETL Developers aiming to design modular data pipelines with interactive documentation.
  • Students & Beginners in Big Data who want a hands-on introduction to Zeppelin without prior experience.
  • Professionals preparing for real-world projects that require big data visualization, reporting, and interactive analytics.

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