Data Science

Apache Zeppelin – Multi-purpose Notebook

Apache Zeppelin is an open source web-based notebook that enables interactive data analytics. It’s a data analytics and visualization platform enabling data engineers, data analysts and data scientists increase their productivity. Develop, organize, execute, and share data code and visualizing results without reverting to the command line or needing the cluster details.

This software brings data exploration, visualization, sharing and collaboration features to Spark.

You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Features include:

  • Browser based notebook style editor.
  • Interactive snippet-at-time experience.
  • Supports many interpreters including Apache Spark, Python, JDBC, Markdown, Shell and R, as well as Alluxio, Beam, BigQuery, Cassandra, Elasticsearch, Flink, Geode, HBase, HDFS, Hive, Ignite, Kylin, Lens, Livy, Pig, Postgresql, Scalding, and Scio. Apache Zeppelin’s interpreter concept allows any language/data-processing-backend to be plugged into Zeppelin.
  • Built-in Apache Spark support offering five interpreters:
    • 1. SparkInterpreter – creates a SparksContext and provides a Scala environment.
    • 2. PySparkInterpreter – provides a Python environment.
    • 3. SparkRInterpreter – provides an R environment with SparkR support.
    • 4. SparkSQLInterpreter – provides a SQL environment.
    • 5. DepInterpreter – dependency loader.
  • Automatic SparkContext and SQLContext injection.
  • Runtime jar dependency loading from local filesystem or maven repository.
  • Cancelling job and displaying its progress.
  • Data visualization including pivot charts, dynamic forms, and more. Output from any language backend can be recognized and visualized.
  • Dynamically create input forms in your notebook. You can use form templates with a simple template language, or the forms can be created programmatically.
  • Collaborate by sharing your notebook URL. Apache Zeppelin broadcasts any changes in realtime.
  • Integrated Matplotlib with Python and Pyspark interpreter.
  • Multi-user support with LDAP with a separate interpreter running scope per user or per note.
  • Provides several REST APIs for interaction and remote activation of Zeppelin functionality.
  • Official docker images are available.

Support: Documentation, Wiki, GitHub Code Repository, Mailing Lists
Developer: Apache Software Foundation
License: Apache License 2.0

Apache Zeppelin

Apache Zeppelin is written in Java. Learn Java with our recommended free books and free tutorials.

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