Name: Apache Zeppelin - Big Data Visualization Tool
Availability: InStock

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 using Spark MLlib in Zeppelin
Real-Time Log Analytics Dashboard using Kafka, Spark, MySQL, and Zeppelin visualizations

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.

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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