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Introduction to Apache Zeppelin
Introduction to Zeppelin
What is Apache Zeppelin
Features & Benefits
Zeppelin vs Jupyter Notebooks
Zeppelin Architecture Overview
Use cases in Data Engineering
Installation Steps on Linux machines
(Latest) Installing Apache Zeppelin (0.10.1)
(Hands on) Installation Steps on Ubuntu 20.04
Regarding IBM Skills Network
(Optional) Free Account creation in IBM Skills Network Labs
(Optional) Launch Apache Zeppelin in IBM Skills Network Labs
(Optional) Loading Data into IBM Skills Developer Lab
Spark with Zeppelin (Hands on Demo)
(Hands On) Configure Hive Interpreter in Apache Zeppelin
Configure Hive Interpreter in Apache Zeppelin
Hadoop Configuration Setting
Starting Hadoop,Hive, Zeppelin
Hive with Zeppelin
Python in Zeppelin
Types of Default Chart in Zeppelin
Dynamic Forms (Spark SQL) in Zeppelin
Twitter Project Zeppelin
Installing Apache Zeppelin on Ubuntu and Windows(using Docker) machine
Requirements
(Hands On) Installing JAVA
Steps for Installing JAVA
(Hands On) Setting JAVA environments
Steps for Setting JAVA environments
(Hands On) Apache Zeppelin Installation Steps on Ubuntu machine
Steps for Installing Apache Zeppelin on Ubuntu machine
(Hands On) Installing Docker Desktop on Windows 10/11
Steps for Installing Docker on Windows
(Hands On) Running Apache Zeppelin on Docker (Windows)
Steps for Running Apache Zeppelin on Docker
Zeppelin Basics
Notebook UI Overview
Markdown and text formatting
Creating and running paragraphs
Important Announcement
Hands on Creating and Running paragraphs
Dynamic forms and input controls
Hands On Dynamic Forms (Spark SQL) in Zeppelin
Visualization Options (Tables, Bar chart, Pie chart, etc.)
Hands On - Types of Default Chart in Zeppelin
Zeppelin Interpreters & Configuration
What are Interpreters?
Common interpreters (Spark, Python, JDBC, Shell)
Interpreter binding at notebook and user level
Steps for Configure and Connect to Spark Interpreter
(Hands On) Configure and Connect to Spark interpreter
Zeppelin with Apache Spark
Spark interpreter details
Working with RDDs and DataFrames
Spark SQL queries and caching
Visualizing Spark outputs
Job tracking and performance tuning basics
Data Ingestion & Exploration
Connecting to external data sources (HDFS, S3, JDBC, etc.)
Zeppelin with MySQL Databases (Locally using JDBC)
SQL Support in Zeppelin Part 1 (MySQL Remote Database Connectivity)
SQL Support in Zeppelin Part 2 (MySQL Remote Database Connectivity)
Reading CSV, Parquet files
Data cleaning and transformation with Spark Scala
Profiling with basic statistics and visualizations
Capstone Project
Introduction to Spark
Introduction to Machine Learning
Telecom Customer Churn Prediction