Descriptions
Apache Zeppelin – Big Data Visualization Tool, Are you working with Big Data and looking for a powerful yet flexible tool to explore, analyze, and visualize your data? Apache Zeppelin is a modern, web-based notebook designed for Big Data workflows, enabling seamless integration with Apache Spark, Hadoop, Hive, Kafka, MySQL, HDFS, S3, and more, while supporting multiple interpreters like Scala, Python, SQL, and Shell. In this hands-on, project-driven course, you’ll master Zeppelin’s core features, from installation and setup on Ubuntu and Windows (using Docker), to working with notebooks, interpreters, dynamic visualizations, and Spark integration. You’ll learn to connect external data sources, build ETL pipelines, and integrate Zeppelin with tools like Kafka and Hive. By the end, you’ll apply your skills in capstone projects such as Telecom Customer Churn Prediction and Real-Time Log Analytics Dashboard powered by Kafka, Spark, MySQL, and Zeppelin visualizations.
What you’ll 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 and Real-Time Log Analytics Dashboard
Who this course is 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.
Specificatoin of Apache Zeppelin – Big Data Visualization Tool
- Publisher : Udemy
- Teacher : Bigdata Engineer
- Language : English
- Level : All Levels
- Number of Course : 80
- Duration : 6 hours and 46 minutes
Content of Apache Zeppelin – Big Data Visualization Tool
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.
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
1.52 GB
