Apache Zeppelin Training

SKU: 2981
7 Lesson
|
40 Hours
igmGuru offers a comprehensive Apache Zeppelin Training program for learners of all levels. This course covers all essential topics such as Zeppelin notebook fundamentals, interpreter setup and configuration, working with multi-language code (Python, Scala, SQL, and more), data integration with Spark, data visualization and interactive dashboards, dynamic forms, and many more. The course curriculum is designed by experienced Big Data and Analytics professionals with over 10 years of industry experience. Enroll in our Apache Zeppelin course to gain hands-on experience in building interactive notebooks, performing real-world data analysis, integrating Zeppelin with big data ecosystems.

Overview

Prerequisites

  • Experience with at least one language commonly used in Zeppelin: Python, Scala, SQL
  • Understanding of databases
  • Basic understanding of: Hadoop ecosystem (HDFS, Hive), Apache Spark concepts (RDDs, DataFrames, Spark SQL)

What Will You Learn

  • What is Apache Zeppelin
  • Use cases: data analytics, visualization, interactive data exploration, collaboration, big data workflows
  • Installing Zeppelin (on local machine, server or via Docker, depending on environment)
  • Understanding interpreter modes (shared, scoped, isolated) and how Zeppelin connects with data-processing engines
  • Creating and managing notebooks, using paragraphs, Markdown, dynamic forms, etc.
  • Understanding Zeppelin’s display system: tables, HTML/text output, charts/visualizations, embedding dynamic UI components (e.g. forms)
  • Connecting to data sources: HDFS, S3, relational databases (via JDBC), Hive, etc.
  • Building ETL-style workflows (data ingestion → cleaning → transformation → analysis) using Zeppelin + Spark + external data sources
  • Creating visualizations (charts: bar, line, pie, scatter; tables; custom visualizations) directly within Zeppelin notebooks
  • Using dynamic forms / parameters (e.g. filters, input widgets) to make dashboards interactive and reusable (e.g. setting variables like date range, thresholds)

Key Features

Course Curriculum

1. What is Apache Zeppelin: purpose, architecture, features (notebook-based analytics, collaboration, multi-language support)
2. Use cases: data analytics, visualization, interactive data exploration, collaboration, big data workflows
3. Zeppelin vs Jupyter Notebook
1. Installing Zeppelin (on local machine, server or via Docker, depending on environment)
2. Configuring Zeppelin environment, interpreters and backend integration (e.g. Spark, Hive, JDBC, Python)
3. Understanding interpreter modes (shared, scoped, isolated) and how Zeppelin connects with data-processing engines
4. Understanding Zeppelin UI and notebook structure
1. Creating and managing notebooks, using paragraphs, Markdown, dynamic forms, etc.
2. Writing code in multiple languages (Python, Scala, SQL, Shell, etc.) inside Zeppelin notebooks — leveraging Zeppelin’s multi-language support
3. Understanding Zeppelin’s display system: tables, HTML/text output, charts/visualizations, embedding dynamic UI components (e.g. forms)
1. Connecting to data sources: HDFS, S3, relational databases (via JDBC), Hive, etc.
2. Loading, cleaning, transforming and exploring data — working with big data through integration with engines like Apache Spark, using DataFrames / RDDs / SQL inside Zeppelin notebooks
3. Building ETL-style workflows (data ingestion → cleaning → transformation → analysis) using Zeppelin + Spark + external data sources
1. Creating visualizations (charts: bar, line, pie, scatter; tables; custom visualizations) directly within Zeppelin notebooks
2. Designing interactive dashboards / reports for business analytics, monitoring, decision support — leveraging Zeppelin’s collaboration and shareable notebooks
3. Using dynamic forms / parameters (e.g. filters, input widgets) to make dashboards interactive and reusable (e.g. setting variables like date range, thresholds)
1. Running Spark jobs in Zeppelin
2. Working with RDDs and DataFrames
3. Spark SQL integration
4. Performance tuning basics
1. Using Zeppelin with ML libraries
2. Introduction to MLlib
3. Building simple ML models
4. Data exploration techniques
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 40 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 25 Jun 2026
  • Weekday Batch 29 Jun 2026
  • Weekend Batch 27 Jun 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Apache Zeppelin Certification

We provide a Course Completion Certificate to all learners upon successfully completing the Apache Zeppelin Training program. This certificate validates your hands-on experience with Zeppelin notebooks, data integration, and visualization workflows.

Apache Zeppelin Certification

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