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zeppelin-notebooks's Introduction

Demo notebooks for Apache Zeppelin

Update your Zeppelin instance with all notebooks in this repo:
  • If you are using hortonworks sandbox, you can execute command below to get latest notebooks:
    curl -sSL https://raw.githubusercontent.com/hortonworks-gallery/zeppelin-notebooks/master/update_all_notebooks.sh | sudo -u zeppelin -E sh
  • Please note that if you have changed or created your own notebooks they will be moved to a folder: /opt/incubator-zeppelin/notebook/old_yyyyMMdd-HHmmss, you can copy them back to /opt/incubator-zeppelin/notebook/ directory
Importing specific notebooks:

Copy the "json" link URL from the table below and paste it into Zeppelin's import from URL tool. Import UI

Adding notebooks:

You can add notebooks by making Github pull request, but we request you also update the table below by adding a record for your notebook. To generate the 'view' link for the notebook:

  1. Uploading the notebook into this repo and obtain the url (it should look like this: https://github.com/hortonworks-gallery/zeppelin-notebooks/blob/master/2A94M5J1Z/note.json)
  2. Generate a link to preview the notebook by pasting the url from #1 into ZeppelinHub viewer (https://www.zeppelinhub.com/viewer). This will generate a preview page for your notebook (at a url that looks something like https://www.zeppelinhub.com/viewer/notebooks/aHR0cHM6Ly9yYXcuZ2l0aHVidXNlcmNvbnRlbnQuY29tL2hvcnRvbndvcmtzLWdhbGxlcnkvemVwcGVsaW4tbm90ZWJvb2tzL21hc3Rlci8yQTk0TTVKMVovbm90ZS5qc29u/)
  3. Copy the url from #2 of the notebook Include the preview link under the 'View' link in table below. You can follow examples from existing notebooks for this at the markdown version of README here
Demos:
Description Components Code View Author Comments
Starter Bank demo Spark/SparkSQL json view NFLabs Default notebook installed by Zeppelin
Australian Spending dataset Spark/SparkSQL json view Ned Shawa
Australian Spending dataset Hive json view Ned Shawa
Map Earthquake dataset Spark/SparkSQL json view NFLabs (updated by Mark Laney)
IoT Trucking demo Spark/SparkSQL json view Nauman Fakhar, Dhruv Kumar IoT Truck Demo from Hadoop Summit
Intra-day stock prices Phoenix json view Ali Bajwa
Magellan: Geospatial Analytics Using Spark Spark json view Ram Sriharsha Magellan Blog as Zeppelin Notebook. Requires Spark 1.4.1 See here for more details
Twitter sentiment analysis using Spark Streaming Spark streaming json view Guilherme Braccialli
PySpark tutorial: Analyzing network intrusion dataset with Python and Spark PySpark json view Saptak Sen
Single view demo Hive/Sqoop/HDF json view Ali Bajwa/Ajay Singh Notebook version of Single view lab
Predicting Airline Delays Spark/MLLib json view Ofer Mendelevitch Related to this Blog post and part 2
Sensors Predictive Analysis SparkSQL/PySpark json view Vedant Jain Adding Predictions to this Blog post
Analyzing Server Web Logs SparkSQL/PySpark json view Paul Hargis Parse and Analyze HTTP Web Server Logs (ported from Databricks)
HDFS Space Usage Visualization HDFS / D3.js json view Guilherme Braccialli A D3.js Sunburst visualization to explore HDFS space utilization and other metadata info, more details

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