Apache Zeppelin – Big Data Visualization Tool

Apache Zeppelin - Big Data Visualization Tool for Big data Engineers An Open Source Tool (Free Source)

Created by: Bigdata Engineer
Bigdata Engineer

What Will I Learn?

• Data Ingestion in Zeppelin environment
• Configuring Interpreter in Zeppelin
• How to Use Zeppelin to process Data in Spark Scala, Spark Python, SQL and MySQL
• Data Discovery
• Data Analytics in Zeppelin
• Data Visualization
• Pivot Chart
• Dynamic Forms
• Various types of Interpreters to integrate with various big data eco system
• Visualization of results from big data
• Seamless Data Exploration: Learn to connect Apache Zeppelin to various data sources like Spark, Hadoop, and SQL databases, enabling smooth data exploration.
• Interactive Visualizations: Create dynamic, shareable dashboards that bring your data stories to life.
• Real-Time Collaboration: Master Zeppelin’s collaborative features to work efficiently with your team and stakeholders.
• Code-to-Insight Workflow: Use Zeppelin’s multi-language support (Python, Scala, SQL, and more) to streamline your analytics process.

Requirements

• Basics of Data Analytics
• Big data basics will be added advantage
• Basics on SQL queries
• Basics on different data visualization

Target audience

• Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist, Data Analyst, Analyst
• Data Scientists & Analysts seeking an intuitive tool to explore and visualize data effectively.
• Big Data Professionals looking to enhance their analytics capabilities with real-time, interactive notebooks.
• Business Intelligence Teams aiming to simplify collaboration and accelerate decision-making with visually impactful dashboards.