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Zeppelin
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Apache Zeppelin
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0.10.1
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Apache Zeppelin
Web-based notebook that enables data-driven,
interactive data analytics and collaborative documents with SQL, Scala, Python, R and more.
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Technologies
Zeppelin supports Spark, PySpark, Spark R, Spark SQL with dependency loader.
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SQL
Zeppelin lets you connect any JDBC data sources seamlessly. Postgresql, Mysql, MariaDB, Redshift, Apache Hive and so on.
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Python is supported with Matplotlib, Conda, Pandas SQL and PySpark integrations.
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See more details in Zeppelin supports 20+ different interpreters.
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Deployments
Single User
Local Spark, 6 Built-in visualizations, Display system, Dynamic form, Multiple backends are supported.
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Multi-User
Zeppelin supports Multi-user Support w/ LDAP. Let's configure Zeppelin for your yarn cluster.
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What's new in
Apache Zeppelin 0.10
Zeppelin SDK
Not only you can use Zeppelin as interactive notebook, you can also use it as JobServer via Zeppelin SDK (client api
& session api)
Spark Interpreter Improved
Spark interpreter provides comparable Python & R user experience like Jupyter Notebook. For the details, click here.
Flink Interpreter Improved
Flink interpreter is refactored, supports Scala, Python & SQL. Flink 1.10 and afterwards (Scala 2.11 & 2.12) are all supported.
For the details, click here.
Yarn Interpreter Mode
You can run interpreter in yarn cluster, e.g. you can run Python interpreter in yarn and R interpreter in yarn.
Inline Configuration
Generic ConfInterpreter provide a way configure interpreter inside each note.
Interpreter Lifecycle Management
Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use. See here for more details.
See more details in
0.10 Release Note
What is Apache Zeppelin ?
Multi-purpose Notebook
The Notebook is the place for all your needs
Data Ingestion
Data Discovery
Data Analytics
Data Visualization & Collaboration
Multiple Language Backend
Apache Zeppelin interpreter concept allows any language/data-processing-backend to be plugged into Zeppelin.
Currently Apache Zeppelin supports many interpreters such as Apache Spark, Apache Flink, Python, R, JDBC, Markdown and Shell.
Adding new language-backend is really simple. Learn how to create a new interpreter.
Apache Spark integration
Especially, Apache Zeppelin provides built-in Apache Spark integration. You don't need to build a separate module, plugin or library for it.
Apache Zeppelin with Spark integration provides
Automatic SparkContext and SQLContext injection
Runtime jar dependency loading from local filesystem or maven repository. Learn more about dependency loader.
Canceling job and displaying its progress
For the further information about Apache Spark in Apache Zeppelin, please see Spark interpreter for Apache Zeppelin.
Data visualization
Some basic charts are already included in Apache Zeppelin. Visualizations are not limited to SparkSQL query, any output from any language backend can be recognized and visualized.
Pivot chart
Apache Zeppelin aggregates values and displays them in pivot chart with simple drag and drop. You can easily create chart with multiple aggregated values including sum, count, average, min, max.
Learn more about basic display systems and Angular API(frontend , backend) in Apache Zeppelin.
Dynamic forms
Apache Zeppelin can dynamically create some input forms in your notebook.
Learn more about Dynamic Forms.
Collaborate by sharing your Notebook & Paragraph
Your notebook URL can be shared among collaborators. Then Apache Zeppelin will broadcast any changes in realtime, just like the collaboration in Google docs.
Apache Zeppelin provides an URL to display the result only, that page does not include any menus and buttons inside of notebooks.
You can easily embed it as an iframe inside of your website in this way.
If you want to learn more about this feature, please visit this page.
100% Opensource
Apache Zeppelin is Apache2 Licensed software. Please check out the source repository and how to contribute.
Apache Zeppelin has a very active development community.
Join to our Mailing list and report issues on Jira Issue tracker.
Zeppelin on Twitter
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