Apache Zeppelin

Apache Zeppelin

Apache Zeppelin is a web-based notebook designed for interactive data analytics and collaboration, supporting over 20 interpreters, including SQL, Scala, Python, and R. Its integration with Apache Spark and Flink allows users to leverage the latest features seamlessly. Real-time collaboration, dynamic form creation, and visualizations enhance the data exploration experience.

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Apache Zeppelin Review and Overview

For data scientists, notebook frameworks are indispensable tools for code experimentations and explorations. These computational notebooks stitch together all functionalities of a word processor and the shell and kernel of the programming language. They offer an intuitive interface for executing codes and visualizing data across industries. Apache Zeppelin is one such popular web-based, open-source, interactive Notebook software that uses visualizations and collaboration features for interactive data analytics. You can create documents with SQL, Scala, and other programming languages. It has built-in support for Apache Spark and multiple interpreter integrations within the same notebook.

A multi-purpose notebook with multiple language backend

You can perform all the popular data functions on the Apache Zeppelin notebook, including data visualization, collaboration, analytics, discovery, and ingestion. It lets you dynamically create Note level forms. Instead of having to run all the paragraphs simultaneously, in its latest version, you can execute the paragraphs sequentially. There’s also note revision comparator and support for over 20 different data processing backends, each of which can be easily added. Apache Spark, Python, Shell, Markdown, and other interpreters can be plugged into Zeppelin. And in the meantime, the General ConfInterpreter will let you configure the interpreter inside of your notes.

Advanced data visualizations on Apache Zeppelin

With no requirement of a separate module or library for Spark integration, you get access to automatic SparkContext and SQLContext injection. However, the data visualizations on Zeppelin are not limited to the query on SparkSQL. A collection of basic charts are already present in its library, and you can use any language backend to get charts as outputs. Custom visualizations can be added from the Helium online registry. Once Zeppelin aggregates the input values, it can create pivot charts from them with a simple drag and drop feature. It can also use multiple aggregate values like average, minimum, maximum, etc.   

Deployments and collaborations made easy

You can deploy on Apache Zeppelin with its single-user or multi-user support. The notebook you worked on, its URL can be shared easily with other collaborators. Any edits made by the users will be reflected in your notebook in real-time. You can also embed it without any hassle as an iframe inside your website. When resources are not in use, the lifecycle manager terminates the interpreter process and releases them without you having to intervene. Being an open-source platform, you can also make your contributions and become a part of the growing Zeppelin community.

Top Apache Zeppelin Features

  • Web-based interactive notebooks
  • Supports 20+ interpreters
  • Real-time collaborative editing
  • Built-in Apache Spark integration
  • Dynamic form creation
  • URL sharing for collaboration
  • Iframe embedding capabilities
  • Automatic interpreter lifecycle management
  • Pivot chart aggregation
  • Multiple language support
  • Customizable visualizations
  • Markdown support for documentation
  • Apache2 licensed software
  • Active development community
  • Easy new interpreter addition
  • Default Python 3.9 support
  • Latest Spark and Flink features
  • Simple drag-and-drop charts
  • Note revision comparator
  • Sequential paragraph execution.